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LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 53 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 23 -
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 62 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 61
Collections
Discover the best community collections!
Collections including paper arxiv:2310.11511
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 36 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 1
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Communicative Agents for Software Development
Paper • 2307.07924 • Published • 2 -
Self-Refine: Iterative Refinement with Self-Feedback
Paper • 2303.17651 • Published • 2 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 30 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 11
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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 • 90 -
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 • 102
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 90 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 33 -
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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google/gemma-2b-it
Text Generation • Updated • 476k • 518 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 61 -
google/tapas-large-finetuned-wikisql-supervised
Table Question Answering • Updated • 1.65k • 6 -
google/gemma-2b
Text Generation • Updated • 1.51M • 692
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 26 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 19 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62
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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 • 15 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 61 -
upstage/SOLAR-10.7B-Instruct-v1.0
Text Generation • Updated • 82k • 575 -
openchat/openchat-3.5-1210
Text Generation • Updated • 50.8k • 275
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 61 -
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