Collections

34

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Paper • 2310.03714 • Published Oct 5, 2023 • 30
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 35
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 3
GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 183

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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8
Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Paper • 2305.10601 • Published May 17, 2023 • 10
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47
Voyager: An Open-Ended Embodied Agent with Large Language Models

Paper • 2305.16291 • Published May 25, 2023 • 9

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

GAIA: a benchmark for General AI Assistants

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Voyager: An Open-Ended Embodied Agent with Large Language Models

More Agents Is All You Need

OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Generative Agents: Interactive Simulacra of Human Behavior

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Self-Rewarding Language Models

Self-Discover: Large Language Models Self-Compose Reasoning Structures

OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Learning From Mistakes Makes LLM Better Reasoner

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

GAIA: a benchmark for General AI Assistants

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace

More Agents Is All You Need

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Communicative Agents for Software Development

Self-Refine: Iterative Refinement with Self-Feedback

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

ReAct: Synergizing Reasoning and Acting in Language Models

Large Language Model Alignment: A Survey

Aligning Large Language Models with Human: A Survey

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Self-Discover: Large Language Models Self-Compose Reasoning Structures

ReAct: Synergizing Reasoning and Acting in Language Models

Reflexion: Language Agents with Verbal Reinforcement Learning

Self-Rewarding Language Models

BitNet: Scaling 1-bit Transformers for Large Language Models

ReFT: Representation Finetuning for Language Models

LLM in a flash: Efficient Large Language Model Inference with Limited Memory