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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 96 -
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 109
Collections
Discover the best community collections!
Collections including paper arxiv:2310.11511
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 96 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 38 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 17 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 35
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 141 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 63
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WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Paper • 2305.14292 • Published • 1 -
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps
Paper • 2312.07796 • Published -
RAGAS: Automated Evaluation of Retrieval Augmented Generation
Paper • 2309.15217 • Published • 3 -
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Paper • 2210.02627 • Published
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ControlLLM: Augment Language Models with Tools by Searching on Graphs
Paper • 2310.17796 • Published • 16 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 74 -
upstage/SOLAR-10.7B-Instruct-v1.0
Text Generation • Updated • 56.7k • 611 -
openchat/openchat-3.5-1210
Text Generation • Updated • 18.3k • 276
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 74 -
REST: Retrieval-Based Speculative Decoding
Paper • 2311.08252 • Published -
Active Retrieval Augmented Generation
Paper • 2305.06983 • Published • 3 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 9
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A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 16 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 9 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 11 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 47
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Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Paper • 2304.09542 • Published • 4 -
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 16 -
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
Paper • 2312.02969 • Published • 12
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Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 28 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 9 -
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Paper • 2308.00436 • Published • 21