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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 34 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 38 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 6 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 191
Collections
Discover the best community collections!
Collections including paper arxiv:2402.05120
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 6 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 21 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 12 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 83 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 146 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 255 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 89 -
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
Paper • 2410.02884 • Published • 54 -
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
Paper • 2311.07445 • Published
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Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia
Paper • 2312.03664 • Published • 9 -
Generative Agents: Interactive Simulacra of Human Behavior
Paper • 2304.03442 • Published • 12 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 53
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Addition is All You Need for Energy-efficient Language Models
Paper • 2410.00907 • Published • 145 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 94 -
An accurate detection is not all you need to combat label noise in web-noisy datasets
Paper • 2407.05528 • Published • 3 -
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
Paper • 2407.00402 • Published • 22
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TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
Paper • 2412.14161 • Published • 50 -
Training Software Engineering Agents and Verifiers with SWE-Gym
Paper • 2412.21139 • Published • 21 -
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis
Paper • 2412.19723 • Published • 82 -
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
Paper • 2408.00764 • Published • 1
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 6 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 191 -
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Paper • 2303.17580 • Published • 11 -
More Agents Is All You Need
Paper • 2402.05120 • Published • 53