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about 6 hours ago
about 6 hours ago
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Discover the best community collections!
Collections including paper arxiv:2310.12823
Collection by
May 3
May 3
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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 • 32 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 13
Collection by
Feb 18
Feb 18
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 91 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 34 -
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
Collection by
5 days ago
5 days ago
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 136 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 19 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62
Collection by
Dec 20, 2023
Dec 20, 2023
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GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 176 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 26 -
LayoutPrompter: Awaken the Design Ability of Large Language Models
Paper • 2311.06495 • Published • 9 -
Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 19
Collection by
Feb 11
Feb 11
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JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 31 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 33 -
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Paper • 2303.16634 • Published • 1 -
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Paper • 2310.12397 • Published • 1
Collection by
18 days ago
18 days ago
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 6 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 11 -
LASER: LLM Agent with State-Space Exploration for Web Navigation
Paper • 2309.08172 • Published • 10 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8
Collection by
Apr 5
Apr 5
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 6 -
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 4 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 11 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8
Collection by
May 31
May 31
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 10 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
Collection by
26 days ago
26 days ago
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 17 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4