总结Prompt&LLM论文，开源数据&模型，AIGC应用

02-13 09:39

#0

如果LLM的突然到来让你感到沮丧，不妨读下主目录的Choose Your Weapon Survival Strategies for Depressed AI Academics 持续更新以下内容，Star to keep updated~

On the Dangers of Stochastic Parrots Can Language Model Be Too Big.pdf

Research by searching the web_ instructions for contractors (archived).pdf

Curiosity-driven Red-teaming for Large Language Models.pdf

EXPLORE, ESTABLISH, EXPLOIT RED-TEAMING LANGUAGE MODELS FROM SCRATCH.pdf

Red Teaming Language Models with Language Models.pdf

AI Coders Are Among Us Rethinking Programming Language Grammar Towards Efficient Code Generation.pdf

CODECHAIN TOWARDS MODULAR CODE GENERATION THROUGH CHAIN OF SELF-REVISIONS WITH REPRESENTATIVE SUB-MODULES.pdf

Code Generation with AlphaCodium From Prompt Engineering to Flow Engineering.pdf

Codeforces as an Educational Platform for Learning Programming in Digitalization.pdf

Competition-Level Code Generation with.pdf

A Survey of Large Language Models for Financial Applications Progress, Prospects and Challenges.pdf

ADAPTING LARGE LANGUAGE MODELS VIA READING COMPREHENSION.pdf

Augmented Large Language Models with Parametric knowledge Guiding.pdf

BBT-Fin Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark.pdf

BLOOM A 176B-Parameter Open-Access Multilingual language model.pdf

BioGPT Generative Pre-trained Transformer for Biomedical Text Generation and Mining.pdf

BloombergGPT A Large Language Model for Finance.pdf

CFBenchmark Chinese Financial Assistant Benchmark for Large Language Model.pdf

CFGPT Chinese Financial Assistant with Large Language Model.pdf

ChatDoctor A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain knowledge.pdf

ChatLaw Open-Source Legal Large Language Model.pdf

EcomGPT Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce.pdf

FinVis-GPT A Multimodal Large Language Model for Financial Chart Analysis.pdf

Galactica A Large Language Model for Science.pdf

InvestLM A Large Language Model for Investment using Financial Domain Instruction Tuning.pdf

KITLM Domain-Specific Knowledge InTegration into Language Models for Question Answering.pdf

LLEMMA AN OPEN LANGUAGE MODEL FOR MATHEMATICS.pdf

Large Language Models Encode Clinical Knowledge.pdf

MEDITAB SCALING MEDICAL TABULAR DATA PREDICTORS VIA DATA CONSOLIDATION.pdf

Med PALM Large Language Models Encode Clinical Knowledge.pdf

MedGPT Medical Concept Prediction from Clinical Narratives.pdf

MediaGPT A Large Language Model For Chinese Media.pdf

PIXIU A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.pdf

PLLaMa An Open-source Large Language Model for Plant Science.pdf

Raise a Child in Large Language Model Towards Effective and Generaliable Fine-tunning.pdf

SMILE Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support.pdf

TableGPT Towards Unifying Tables, Nature Language and Commands into One GPT.pdf

The FinBen An Holistic Financial Benchmark for Large Language Models.pdf

Towards Trustworthy Large Language Models in Industry Domains.pdf

WeaverBird Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine.pdf

When AI Meets Finance (StockAgent) Large Language Model-based Stock Trading in Simulated Real-world Environments.pdf

XuanYuan 2.0 A Large Chinese Financial Chat Model.pdf

Zhongjing Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue.pdf

DETECTING PRETRAINING DATA FROM LARGE LANGUAGE MODELS.pdf

FACTOOL Factuality Detection in Generative AI A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.pdf

KoLA Carefully Benchmarking World Knowledge of Large Language Models.pdf

LONG-FORM FACTUALITY IN LARGE LANGUAGE.pdf

Rethinking Benchmark and Contamination for Language Models with Rephrased Samples.pdf

Scalable Extraction of Training Data from (Production) Language Models.pdf

SelfCheckGPT Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.pdf

TRUE Re-evaluating Factual Consistency Evaluation.pdf

TRUSTWORTHY LLMS A SURVEY AND GUIDELINE FOR EVALUATING LARGE LANGUAGE MODELS’ ALIGNMENT.pdf

TrueTeacher Learning Factual Consistency Evaluation with Large Language Models.pdf

When Not to Trust Language Models Investigating Effectiveness of Parametric and Non-Parametric Memories.pdf

ALFWORLD ALIGNING TEXT AND EMBODIED ENVIRONMENTS FOR INTERACTIVE LEARNING.pdf

AUTORT EMBODIED FOUNDATION MODELS FOR LARGE SCALE ORCHESTRATION OF ROBOTIC AGENTS.pdf

HABITAT 3.0 A COHABITAT FOR HUMANS, AVATARS AND ROBOTS.pdf

Humanoid Agents Platform for Simulating Human-like Generative Agents.pdf

LEGENT Open Platform for Embodied Agents.pdf

MINEDOJO Building Open-Ended Embodied Agents with Internet-Scale Knowledge.pdf

ROBOTIC TASK GENERALIZATION VIA HINDSIGHT TRAJECTORY SKETCHES.pdf

Voyager An Open-Ended Embodied Agent with Large Language Models.pdf

Automata-based constraints for language model decoding.pdf

BatchPrompt Accomplish more with less.pdf

Efficient Guided Generation for Large Language Models.pdf

Fast Inference from Transformers via Speculative Decoding.pdf

Fast Transformer Decoding One Write-Head is All You Need.pdf

GQA Training Generalized Multi-Query Transformer Models from.pdf

PROMPT CACHE MODULAR ATTENTION REUSE FOR LOW-LATENCY INFERENCE.pdf

Precise Length Control in Large Language Models.pdf

SGLang Efficient Execution of Structured Language Model Programs.pdf

Skeleton-of-Thought Large Language Models Can Do Parallel Decoding.pdf

SkipDecode Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference.pdf

Top-nσ Not All Logits Are You Need.pdf

XGrammar Flexible and Efficient Structured Generation Engine for Large Language Models.pdf

You Only Cache Once Decoder-Decoder Architectures for Language Models.pdf

Ability Loss2个子项

ExT5 Towards Extreme Multi-Task Scaling for Transfer Learning.pdf

Flan FINETUNED LANGUAGE MODELS ARE ZERO-SHOT.pdf

Flan-T5 Scaling Instruction-Finetuned Language Models.pdf

INSTRUCTEVAL Towards Holistic Evaluation of Instruction-Tuned Large Language Models.pdf

InstructGPT Training language models to follow instructions.pdf

K-Instruct SuperNatural Instructions Generalization via Declarative Instructions on 1600+ NLP Tasks.pdf

Magicoder Source Code Is All You Need.pdf

OPT-IML Scaling Language Model Instruction Meta Learning through the Lens of Generalization.pdf

T0 MULTITASK PROMPTED TRAINING ENABLES Zero-Shot Task Generalization.pdf

The Instruction Hierarchy Training LLMs to Prioritize Privileged Instructions.pdf

UL2 Unifying Language Learning Paradigms.pdf

Unnatural Instructions Tunning Language Models with No Human Labor.pdf

ZeroPrompt Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-shot Generalization.pdf

instruction_data_gen27个子项

The Flan Collection Designing Data and Methods.pdf

A Survey on Data Synthesis and Augmentation for Large Language Models.pdf

AgentInstruct Toward Generative Teaching with Agentic Flows.pdf

Exploring ChatGPT’s Ability to Rank Content A Preliminary Study on Consistency with Human Preferences.pdf

Exploring the Impact of Instruction Data Scaling on Large Language Models.pdf

Fairness-guided Few-shot Prompting for Large Language Model.pdf

GPT Self-Supervision for a Better Data Annotator.pdf

Generating Datasets with Pretrained Language Models.pdf

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners.pdf

Improving Text Embeddings with Large Language Models.pdf

InstructEval Systematic Evaluation of Instruction Selection Methods.pdf

Instruction Induction From Few Examples to Natural Language Task Description.pdf

LARGE LANGUAGE MODELS ARE HUMAN-LEVEL prompt engineer.pdf

Overwriting Pretrained Bias with Finetuning Data.pdf

Prompt Programming for Large Language Models Beyond the few-shot paradigm.pdf

SELF-INSTRUCT Aligning Language Model with Self Generated Instructions.pdf

SELF-QA Unsupervised Knowledge Guided alignment.pdf

Scaling Synthetic Data Creation with 1,000,000,000 Personas.pdf

Self-Consuming Generative Models Go MAD.pdf

UNLEASHING REASONING CAPABILITY OF LLMS VIA SCALABLE QUESTION SYNTHESIS FROM SCRATCH.pdf

Unveiling the Flaws Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models.pdf

WHAT’S IN MY AI LLM 训练数据对比分析.pdf

iPrompt Explaining Data Patterns in Natural Language via Interpretable Autoprompting.pdf

new_alignment13个子项

Magpie Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.pdf

Becoming self-instruct introducing early stopping criteria for minimal instruct tuning.pdf

Beyond Human Data Scaling Self-Training for Problem-Solving with Language Models.pdf

Goat Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks.pdf

Human-like systematic generalization through a meta-learning neural network.pdf

Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback.pdf

InsCL A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions.pdf

Mixture-of-Experts Meets Instruction Tuning A Winning Combination for Large Language Models.pdf

OpinionGPT Modelling Explicit Biases in Instruction-Tuned LLMs.pdf

PROMPT2MODEL Generating Deployable Models from Natural Language Instructions.pdf

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision.pdf

Self-Alignment with Instruction Backtranslation.pdf

WizardLM Empowering Large Language Models to Follow Complex Instructions.pdf

others5个子项

Cross-Task Generalization via Natural Language Crowdsourcing Instructions.pdf

Crosslingual Generalization through Multitask Finetuning.pdf

PromptSource An Integrated Development Environment.pdf

ROLELLM BENCHMARKING, ELICITING, AND ENHANCING ROLE-PLAYING ABILITIES OF LARGE LANGUAGE MODELS.pdf

UNIFIEDSKG Unifying and Multi-Tasking Structured Knowledge.pdf

practice_report6个子项

Baize, An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data.pdf

A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for inst.pdf

Exploring ChatGPT's Ability to Rank Content A Preliminary Study on Consistency with Human Preferences.pdf

Fine tuning LLMs for Enterprise Practical Guidelines and Recommendations.pdf

Towards Better Instruction Following Language Models for Chinese Investigating the Impact of Training Data and Evaluation.pdf

sft_scaling_law10个子项

Instruction Mining High-Quality Instruction Data Selection for Large Language Models.pdf

Exploring the Impact of Instruction Data Scaling on Large Language Models An Empirical Study on Real-World Use Cases.pdf

AlpaGasus Training A Better Alpaca with Fewer Data.pdf

InstructionGPT4 A 200Instruction Paradigm for FineTuning MiniGPT4.pdf

LIMA Less Is More for Alignment.pdf

MAYBE ONLY 0.5% DATA IS NEEDED A PRELIMINARY EXPLORATION OF LOW TRAINING DATA INSTRUCTION TUNING.pdf

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.pdf

Visual Instruction Tuning with Polite Flamingo.pdf

WHEN SCALING MEETS LLM FINETUNING THE EFFECT OF DATA, MODEL AND FINETUNING METHOD.pdf

Are Long-LLMs A Necessity For Long-Context Tasks.pdf

EFFICIENT STREAMING LANGUAGE MODELS WITH ATTENTION SINKS.pdf

EFFICIENT STREAMING LANGUAGE MODELS.pdf

Effective Long-Context Scaling of Foundation Models.pdf

Efficient Attention Attention with Linear Complexities.pdf

Efficient Long-Range Transformers You Need to Attend More, but Not Necessarily at Every Layer.pdf

Extending Context Window of Large Language Models via Positional Interpolation.pdf

FlashAttention Fast and Memory-Efficient Exact Attention with IO-Awareness.pdf

Focused Transformer Contrastive Training for Context Scaling.pdf

HyperAttention Long-context Attention in Near-Linear Time.pdf

LLMLingua Compressing Prompts for Accelerated Inference of Large Language Models.pdf

LM-INFINITE SIMPLE ON-THE-FLY LENGTH GENERALIZATION FOR LARGE LANGUAGE MODELS.pdf

LONGLORA EFFICIENT FINE-TUNING OF LONGCONTEXT LARGE LANGUAGE MODELS.pdf

Learning to Compress Prompts with Gist Tokens.pdf

LongAgent Scaling Language Models to 128k Context through Multi-Agent Collaboration.pdf

LongAlign A Recipe for Long Context Alignment of Large Language Models.pdf

LongLLMLingua Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.pdf

LongNet Scaling Transformers to 1,000,000,000 Tokens.pdf

Lost in the Middle How Language Models Use Long Contexts.pdf

MEGALODON Efficient LLM Pretraining and Inference with Unlimited Context Length.pdf

Make Your LLM Fully Utilize the Context.pdf

Never Lost in the Middle Improving Large Language Models via Attention Strengthening Question Answering.pdf

Never Train from ScratchFAIR COMPARISON OF LONGSEQUENCE MODELS REQUIRES DATA-DRIVEN PRIORS.pdf

ON THE LONG RANGE ABILITIES OF TRANSFORMERS.pdf

PCToolkit A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models.pdf

POSE EFFICIENT CONTEXT WINDOW EXTENSION OF LLMS VIA POSITIONAL SKIP-WISE TRAINING.pdf

Parallel Context Windows for Large Language Models.pdf

Position Interpolation Improves ALiBi Extrapolation.pdf

Ring Attention with Blockwise Transformers for Near-Infinite Context.pdf

Scaling Transformer to 1M tokens and beyond with RMT.pdf

Soaring from 4K to 400K Extending LLM's Context with Activation Beacon.pdf

Structured Prompting caling In-Context Learning to 1,000 Examples.pdf

TOKEN MERGING YOUR VIT BUT FASTER.pdf

TRAIN SHORT TEST LONG ATTENTION WITH LINEAR.pdf

Transformers are RNNs Fast Autoregressive Transformers with Linear Attention.pdf

Unleashing Infinite-Length Input Capacity for Large-scale Language.pdf

Unlimiformer Long-Range Transformers with UNlimited Length INput.pdf

Unlocking Context Constraints of LLMs Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering.pdf

Untie the Knots An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models.pdf

Vcc Scaling Transformers to 128K Tokens or More by Priortizing Importance Tokens.pdf

With Greater Text Comes Greater Necessity Inference-Time Training Helps Long Text Generation.pdf

YaRN Efficient Context Window Extension of Large Language Models.pdf

Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models.pdf

DOC Improving Long Story Coherence With Detailed Outline Control.pdf

Into the Unknown Unknowns Engaged Human Learning through Participation in Language Model Agent Conversations.pdf

RECURRENTGPT.pdf

Re3 Generating Longer Stories With Recursive Reprompting and Revision.pdf

Weaver Foundation Models for Creative Writing.pdf

Editing Large Language Models Problems, Methods, and Opportunities.pdf

FAST MODEL EDITING AT SCALE.pdf

Language Models are Super Mario Absorbing Abilities from Homologous Models as a Free Lunch.pdf

MEMIT MASS-EDITING MEMORY IN A TRANSFORMER.pdf

ROME Locating and Editing Factual Associations in GPT.pdf

Transformer Feed-Forward Layers Are Key-Value Memories.pdf

Arcee's MergeKit A Toolkit for Merging Large Language Models.pdf

Blending Is All You Need Cheaper, Better Alternative to Trillion-Parameters LLM.pdf

Checkpoint Merging via Bayesian Optimization in LLM Pretrainin.pdf

EDITING MODELS WITH TASK ARITHMETIC.pdf

LM-Cocktail Resilient Tuning of Language Models via Model Merging.pdf

TIES-Merging Resolving Interference When Merging Models.pdf

Adding Conditional Control to Text-to-Image Diffusion Models.pdf

An Empirical Study of Scaling Law for OCR.pdf

BLIVA A Simple Multimodal LLM for Better Handling of Text-Rich Visual Question.pdf

Ferret-UI Grounded Mobile UI Understanding with Multimodal LLMs.pdf

InstructBLIP Towards General-purpose Vision-Language Models with Instruction Tuning.pdf

LLava Visual Instruction Tuning.pdf

LVLM eHub A Comprehensive Evaluation Benchmark for Large VisionLanguage Models.pdf

Large Language Models(LLMs) on Tabular Data Prediction, Generation, and Understanding - A Survey.pdf

Many-Shot In-Context Learning in Multimodal Foundation Models.pdf

MiniGPT-4 Enhancing Vision-Language Understanding with Advanced Large Language Models.pdf

Mirasol3B A Multimodal Autoregressive model for time-aligned and contextual modalities.pdf

PaLM-E An Embodied Multimodal Language Model.pdf

PreFLMRScaling Up Fine-Grained Late-Interaction Multi-modal Retrievers.pdf

ShowUI One Vision-Language-Action Model for GUI Visual Agent.pdf

Towards General Computer Control A Multimodal Agent for Red Dead Redemption II as a Case Study.pdf

Vary Scaling up the Vision Vocabulary for Large Vision-Language Models.pdf

Visual ChatGPT Talking, Drawing and Editing with Visual Foundation Models.pdf

mPLUG-Owl Modularization Empowers Large Language Models with Multimodality.pdf

A Case-Based Reasoning Framework for Adaptive Prompting in Cross-Domain Text-to-SQL.pdf

A comprehensive evaluation of ChatGPT’s zero-shot Text-to-SQL.pdf

Bridging the Generalization Gap in Text-to-SQL Parsing with Schema Expansion.pdf

C3 Zero-shot Text-to-SQL with ChatGPT.pdf

Can LLM Already Serve as A Database Interface A BIg Bench for Large-Scale Database Grounded Text-to-SQL.pdf

ChatDB AUGMENTING LLMS WITH DATABASES AS THEIR SYMBOLIC MEMORY.pdf

DIN-SQL Decomposed In-Context Learning of Text-to-SQL with Self-Correction.pdf

Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning.pdf

FinQA A Dataset of Numerical Reasoning over Financial Data.pdf

RESDSQL Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL.pdf

SQL-PALM IMPROVED LARGE LANGUAGE MODEL ADAPTATION FOR TEXT-TO-SQL.pdf

Tool-Assisted Agent on SQL Inspection and Refinement in Real-World Scenarios.pdf

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge.pdf

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.pdf

Learnware Small Models Do Big.pdf

Pretraining on the Test Set Is All You Need.pdf

the-economic-potential-of-generative-ai-the-next-productivity-frontier-vf.pdf

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.pdf

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training.pdf

An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.pdf

Are More LM Calls All You Need Towards the Scaling Properties of Compound AI Systems.pdf

Beyond A Better Planning with Transformers via Search Dynamics Bootstrapping.pdf

DeepMind Smaller, Weaker, Yet Better Training LLM Reasoners via Compute-Optimal Sampling.pdf

Deepmind Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.pdf

Demystifying Long Chain-of-Thought Reasoning in LLMs.pdf

Dualformer Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces.pdf

Imitate Explore and Self-Improve A Reproduction Report on Slow-thinking Reasoning Systems.pdf

InfAlign Inference-aware language model alignment.pdf

Inference Scaling for Long-Context Retrieval Augmented Generation.pdf

Large Language Monkeys Scaling Inference Compute with Repeated Sampling.pdf

Marco-o1 Towards Open Reasoning Models for Open-Ended Solutions.pdf

O1 Replication Journey A Strategic Progress Report – Part 1.pdf

Planning In Natural Language Improves LLM Search For Code Generation.pdf

QImproving Multi-step Reasoning for LLMs with Deliberative Planning.pdf

ReST-MCTS LLM Self-Training via Process Reward Guided Tree Search.pdf

Scaling of Search and Learning A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.pdf

The Surprising Effectiveness of Test-Time Training for Abstract Reasoning.pdf

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.pdf

Towards Large Reasoning Models A Survey of Reinforced Reasoning with Large Language Models.pdf

Towards System 2 Reasoning in LLMs Learning How to Think With Meta Chain-of-Thought.pdf

Training Large Language Models to Reason in a Continuous Latent Space.pdf

o1-Coder an o1 Replication for Coding.pdf

rStar-Math Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.pdf

AI models collapse when trained on recursively generated data.pdf

CCNet Extracting High Quality Monolingual Datasets from Web Crawl Data.pdf

CLUECorpus2020 A Large-scale Chinese Corpus for Pre-training Language Model.pdf

Data Mixing Laws Optimizing Data Mixtures by Predicting Language Modeling Performance.pdf

Data curation via joint example selection further accelerates multimodal learning.pdf

Data, Data Everywhere A Guide for Pretraining Dataset Construction.pdf

DoReMi Optimizing Data Mixtures Speeds Up Language Model Pretraining.pdf

Entropy Law The Story Behind Data Compression and LLM Performance.pdf

IMPROVING PRETRAINING DATA USING PERPLEXITY CORRELATIONS.pdf

The Pile An 800GB Dataset of Diverse Text for Language Modeling.pdf

WanJuan A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models.pdf

Zyda A 1.3T Dataset for Open Language Modeling.pdf

AUTOMATIC CHAIN OF THOUGHT PROMPTING in Large Language Models.pdf

Abstraction-of-Thought Makes Language Models Better Reasoners.pdf

Active Prompting with Chain-of-Thought for Large Language Models.pdf

Algorithm of Thoughts Enhancing Exploration of Ideas in Large Language Models.pdf

Beyond Chain-of-Thought A Survey of Chain-of-X Paradigms for LLMs.pdf

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models.pdf

Buffer of Thought Thought-Augmented Reasoning with Large Language Models.pdf

COMPLEXITY-BASED PROMPTING FOR MULTI-STEP Reasoning.pdf

Chain of Code Reasoning with a Language Model-Augmented Code Emulator.pdf

Chain of Thought Empowers Transformers to Solve Inherently Serial Problems.pdf

Chain of Thought Prompting Elicits Reasoning in Large Language Models.pdf

Chain-of-Thought Hub.pdf

Chain-of-Thought Prompting Elicits Reasoning [v6].pdf

Chain-of-Thought Prompting Elicits Reasoning[V5].pdf

Challenging BIG-Bench tasks and whether chain-of-thought can solve them.pdf

CodeRL Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.pdf

Compressed Chain of Thought Efficient Reasoning Through Dense Representations.pdf

DIVERSITY OF THOUGHT IMPROVES REASONING ABILITIES OF LARGE LANGUAGE MODELS.pdf

Decomposed Prompting A MODULAR APPROACH FOR Solving Complex Tasks.pdf

Distilling Reasoning Capabilities into Smaller Language Models.pdf

Distilling System 2 into System 1.pdf

Do LLMs Really Think Step-by-step In Implicit Reasoning.pdf

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts.pdf

EVERYTHING OF THOUGHTS DEFYING THE LAW OF PENROSE TRIANGLE FOR THOUGHT GENERATION.pdf

Faithful Logical Reasoning via Symbolic Chain-of-Thought.pdf

From Complex to Simple Unraveling the Cognitive Tree for Reasoning with Small Language Models.pdf

Graph of Thoughts Solving Elaborate Problems with Large Language Models.pdf

HOW FAR ARE LARGE LANGUAGE MODELS FROMAGENTS WITH THEORY-OF-MIND.pdf

Inductive or Deductive Rethinking the Fundamental Reasoning Abilities of LLMs.pdf

Internal Consistency and Self-Feedback in Large Language Models A Survey.pdf

Iteration Head A Mechanistic Study of Chain-of-Thought.pdf

Iteration of Thought Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning.pdf

K-Level Reasoning Establishing Higher Order Beliefs.pdf

LAMBADA Backward Chaining for Automated Reasoning in Natural Language.pdf

LARGE LANGUAGE MODELS AS OPTIMIZERS.pdf

LARGE LANGUAGE MODELS CAN LEARN RULES.pdf

LEARNING PERFORMANCE-IMPROVING CODE EDITS.pdf

LEAST-TO-MOST PROMPTING ENABLES COMPLEX Reasoning Large Language Model.pdf

Large Language Models Are Reasoning Teachers.pdf

Large Language Models Can Be Easily Distracted by Irrelevant Context.pdf

Large Language Models are Better Reasoners with Self-Verification.pdf

Large Language Models are Zero-Shot Reasoners.pdf

OlaGPT Empowering LLMs With Human-like Problem-Solving abilities.pdf

On the Diagram of Thought.pdf

Plan-and-Solve Prompting Improving Zero-Shot Chain-of-Thought.pdf

Progressive-Hint Prompting Improves Reasoning.pdf

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation.pdf

Quiet-STaR Language Models Can Teach Themselves to Think Before Speaking.pdf

Reverse Thinking Makes LLMs Stronger Reasoners.pdf

SELF-CONSISTENCY IMPROVES CHAIN OF THOUGHT.pdf

SELF-DIRECTED SYNTHETIC DIALOGUES AND REVISIONS TECHNICAL REPORT.pdf

SELF-DISCOVER Large Language Models Self-Compose Reasoning Structures.pdf

STaR Self-Taught Reasoner Bootstrapping Reasoning with Reasoning.pdf

Show Your Work Scratchpads for Intermediate Computation with Language Models.pdf

Solving Quantitative Reasoning Problems with Language Models.pdf

Specializing Smaller Language Models towards Multi-Step Reasoning.pdf

Successive Prompting for Decomposing Complex Questions.pdf

T-SciQ Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering.pdf

TEXT AND PATTERNS FOR EFFECTIVE CHAIN OF THOUGHT it takes two to tango.pdf

THINK BEFORE YOU SPEAK TRAINING LANGUAGE MODELS WITH PAUSE TOKENS.pdf

Take a Step Back Evoking Reasoning via Abstraction in Large Language Models.pdf

Teaching Small Language Models to Reason.pdf

The CoT Collection Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning.pdf

The Impact of Reasoning Step Length on Large Language Models.pdf

Thinking Forward and Backward Effective Backward Planning with Large Language Models.pdf

ThoughtSource A central hub for large language model reasoning data.pdf

To CoT or not to CoT Chain-of-thought helps mainly on math and symbolic reasoning.pdf

Towards Revealing the Mystery behind Chain of Thought a Theoretical Perspective.pdf

Towards Understanding Chain-of-Thought Prompting An Empirical Study of what matters.pdf

Training Chain-of-Thought via Latent-Variable Inference.pdf

Tree of Thoughts Deliberate Problem Solving with Large Language Models.pdf

Tree-of-Mixed-Thought Combining Fast and Slow Thinking for Multi-hop Visual Reasoning.pdf

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs.pdf

V-STaR Training Verifiers for Self-Taught Reasoners.pdf

Verify-and-Edit A Knowledge-Enhanced Chain-of-Thought Framework.pdf

Why think step by step Reasoning emerges from the locality of experience.pdf

AUTO-DEMO PROMPTING LEVERAGING GENERATED OUTPUTS AS DEMONSTRATIONS FOR ENHANCED BATCH PROMPTING.pdf

Boosting Theory-of-Mind Performance in Large Language Models.pdf

CONNECTING LARGE LANGUAGE MODELS WITH EVOLUTIONARY ALGORITHMS YIELDS POWERFUL PROMP OPTIMIZERS.pdf

Calibrate Before Use Improving Few-Shot Performance of Language Models.pdf

Causality-aware Concept Extraction based on Knowledge-guided Prompting.pdf

DSPy Assertions Computational Constraints for Self-Refining Language Model Pipelines.pdf

DSPy Compiling Declarative Language Model Calls into Self-Improving Pipelines.pdf

Does Prompt Formatting Have Any Impact on LLM Performance.pdf

EmotionPrompt Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.pdf

From Pen to Prompt How Creative Writers Integrate AI into their Writing Practice.pdf

Generated Knowledge Prompting for Commonsense Reasoning.pdf

In-Context Instruction Learning.pdf

In-Context Learning for Extreme Multi-Label Classification.pdf

LARGE LANGUAGE MODELS AS OPTIMIZERS.pdf

LangGPT Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language.pdf

Let Me Speak Freely A Study on the Impact of Format Restrictions on Performance of Large Language Models.pdf

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.pdf

PAS Data-Efficient Plug-and-Play Prompt Augmentation System.pdf

PROMPTBREEDER SELF-REFERENTIAL SELF-IMPROVEMENT VIA PROMPT EVOLUTION.pdf

Prompts As Programs A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization.pdf

Prompts as Auto-Optimized Training Hyperparameters Training Best-in-Class IR Models from Scratch with 10 Gold Labels.pdf

RECITATION-AUGMENTED LANGUAGE MODELS.pdf

RePrompt Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions.pdf

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.pdf

Task Facet Learning A Structured Approach to Prompt Optimization.pdf

TextGrad Automatic Differentiation via Text.pdf

kNN PROMPTING BEYOND-CONTEXT LEARNING WITH CALIBRATION-FREE NEAREST NEIGHBOR INFERENCE.pdf

tune_adapter6个子项

A Comparative Study between Full-Parameter and LoRA-based.pdf

Adapter，Parameter-Efficient Transfer Learning for NLP.pdf

DoRA Weight-Decomposed Low-Rank Adaptation.pdf

INTRINSIC DIMENSIONALITY EXPLAINS THE EFFECTIVENESS OF LANGUAGE MODEL FINE-TUNING.pdf

LORA LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS.pdf

LST Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning.pdf

tune_both2个子项

PADA Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains.pdf

PTR Prompt Tuning with Rules for Text Classification.pdf

tune_free7个子项

AUTOPROMPT Eliciting Knowledge from Language Models.pdf

AdvTrigger Universal Adversarial Triggers for Attacking and Analyzing NLP.pdf

BARTSCORE Evaluating Genreated Text as Text Generation.pdf

GPT2 Language Models are Unsupervised Multitask Learners.pdf

GPT3 Language Models are Few-Shot Learners.pdf

LAMA Language Models as Knowledge Bases.pdf

LAMA2 How Can We Know What Language Models Know.pdf

tune_lm7个子项

ADEPT Improving and Simplifying Pattern Exploiting Training.pdf

LMBFF Making Pre-trained Language Models Better Few-shot Learners.pdf

PET-Gen Few-Shot Text Generation with Natural Language Instructions.pdf

PET-TC Exploiting Cloze Questions for Few Shot Text Classification and Natural.pdf

PETSGLUE It’s Not Just Size That Matters Small Language Models are also few-shot learners.pdf

T5 Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.pdf

TemplateNER Template-Based Named Entity Recognition Using BART.pdf

tune_prompt6个子项

P-Tuning v2 Prompt Tuning Can Be Comparable to Fine-tunning Universally Across Scales and Tasks.pdf

P-tunning GPT Understands Too.pdf

Prefix-Tuning Optimizing Continuous Prompts for Generation.pdf

Prompt Tunning The Power of Scale for Parameter-Efficient Prompt Tuning.pdf

WARP Word-level Adversarial ReProgramming.pdf

conditional_generation4个子项

CTRL A CONDITIONAL TRANSFORMER LANGUAGE Model For controllable Generation.pdf

Can Unconditional Language Models Recover Arbitrary Sentence.pdf

GEDI GENERATIVE DISCRIMINATOR GUIDED Sequence Generation.pdf

PPLM PLUG AND PLAY LANGUAGE MODELS A SIMPLE Approach to Conrolled text generation.pdf

tune_representation1个子项

ReFT Representation Finetuning for Language Models.pdf

A Survey of Hallucination in “Large” Foundation Models.pdf

A Survey on Hallucination in Large Language Models Principles, Taxonomy, Challenges, and Open Questions.pdf

Adaptive Chameleon or Stubborn Sloth Unraveling the Behavior of Large Language Models in Knowledge Clashes.pdf

CONTRASTIVE DECODING IMPROVES REASONING IN LARGE LANGUAGE MODEL.pdf

CRITIC LARGE LANGUAGE MODELS CAN SELFCORRECT WITH TOOL-INTERACTIVE CRITIQUING.pdf

Calibrated Language Models Must Hallucinate.pdf

Can LLMs Express Their Uncertainty An Empirical Evaluation of Confidence Elicitation in LLMs.pdf

Check Your Facts and Try Again Improving Large Language Models with External Knowledge and Automated Feedback.pdf

Contrastive Decoding Open-ended Text Generation as Optimization.pdf

Do Language Models Know When They’re Hallucinating References.pdf

Enabling Large Language Models to Generate Text with Citations.pdf

Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference.pdf

GENERATE RATHER THAN RETRIEVE LARGE LANGUAGE MODELS ARE STRONG CONTEXT GENERATORS.pdf

Improving Factuality and Reasoning in Language Models through Multiagent Debate.pdf

Inference-Time Intervention Eliciting Truthful Answers from a Language Model.pdf

KCTS Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection.pdf

KL-Divergence Guided Temperature Sampling.pdf

LARGE LANGUAGE MODELS CANNOT SELF-CORRECT REASONING YET.pdf

LLM Lies Hallucinations are not Bugs, but Features as Adversarial Examples.pdf

LM vs LM Detecting Factual Errors via Cross Examination.pdf

Language Models (Mostly) Know What They Know.pdf

Large Language Models Struggle to Learn Long-Tail Knowledge.pdf

Large language models and the perils of their hallucinations.pdf

On the Advance of Making Language Models Better Reasoners.pdf

PROMPTING GPT-3 TO BE RELIABLE.pdf

PURR Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions.pdf

QAFactEval Improved QA-Based Factual Consistency Evaluation for Summarization.pdf

R-Tuning Teaching Large Language Models to Refuse Unknown Questions.pdf

RARR Researching and Revising What Language Models Say, Using Language Models.pdf

RefGPT Reference Truthful & Customized Dialogues Generation by GPTs and for GPTs.pdf

Rethinking with Retrieval Faithful Large Language Model Inference.pdf

SELF-CONTRADICTORY HALLUCINATIONS OF LLMS EVALUATION, DETECTION AND MITIGATION.pdf

SELFCHECKGPT Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.pdf

Selection-Inference Exploiting Large Language Models for Interpretable Logical Reasoning.pdf

Selective-LAMA Selective Prediction for Confidence-Aware Evaluation of.pdf

Self-consistency for open-ended generations.pdf

Siren's Song in the AI Ocean A Survey on Hallucination in Large Language Models.pdf

Survey of Hallucination in Natural Language Generation.pdf

Training Language Models to Self-Correct via Reinforcement Learning.pdf

Trust your Evidence Hallucinate Less with Context-aware Decoding.pdf

Truth-O-Meter_Collaborating_with_LLM_in_Fighting_i.pdf

VALIDATING LARGE LANGUAGE MODELS WITH RELM.pdf

Why Does ChatGPT Fall Short in Providing Truthful Answers.pdf

Woodpecker Hallucination Correction for Multimodal Large Language Models.pdf

Zero-Resource Hallucination Prevention for Large Language Models.pdf

Zero-shot Faithful Factual Error Correction.pdf

A Survey of Large Language Models 更新.pdf

A Survey of Large Language Models.pdf

A Survey on Language Models for Code.pdf

AI Alignment A Comprehensive Survey.pdf

An Overview on Language Models Recent Developments and Outlook.pdf

Augmented Language Models a Survey.pdf

Challenges and Applications of Large Language Models.pdf

Domain Specialization as the Key to Make Large Language Models Disruptive A Comprehensive Survey.pdf

Large Language Models for Information Retrieval A Survey.pdf

Large Models for Time Series and Spatio Temporal Data A Survey and Outlook.pdf

Model-as-a-Service (MaaS) A Survey.pdf

OpenPrompt An Open-source Framework for Prompt-learning.pdf

Paradigm Shift in Natural Language Processing.pdf

Pre-Trained Models Past Present and Future.pdf

Pre-train Prompt and Predict A Systematic Survey of Prompting Methods in Natural Language Processing.pdf

Reasoning with Language Model Prompting A Survey.pdf

The Rise and Potential of Large Language Model Based Agents A Survey.pdf

Towards Reasoning in Large Language Models A Survey.pdf

Trends in Integration of Knowledge and Large Language Models A Survey and Taxonomy of Methods, Benchmarks, and Applications.pdf

What Language Model Architecture and Pretraining objects work best for zero shot generation.pdf

Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing.pdf

Lag-Llama Towards Foundation Models for Time Series Forecasting.pdf

Large Language Models Are Zero-Shot Time Series Forecasters.pdf

PromptCast A New Prompt-based Learning Paradigm for Time Series Forecasting.pdf

TEMPO PROMPT-BASED GENERATIVE PRE-TRAINED TRANSFORMER FOR TIME SERIES FORECASTING.pdf

TIME-LLM TIME SERIES FORECASTING BY REPROGRAMMING LARGE LANGUAGE MODELS.pdf

Evaluating Large Language Models Trained on Code.pdf

Evaluating the Text-to-SQL Capabilities of Large Language Models.pdf

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