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Collections including paper arxiv:2310.12823

A Zero-Shot Language Agent for Computer Control with Structured Reflection

Paper • 2310.08740 • Published Oct 12, 2023 • 14
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 35
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Paper • 2308.10848 • Published Aug 21, 2023 • 1
CLEX: Continuous Length Extrapolation for Large Language Models

Paper • 2310.16450 • Published Oct 25, 2023 • 9

Collection of resources related to Agents.

Communicative Agents for Software Development

Paper • 2307.07924 • Published Jul 16, 2023 • 3
Self-Refine: Iterative Refinement with Self-Feedback

Paper • 2303.17651 • Published Mar 30, 2023 • 2
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 35
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 14

ibm/AttaQ

Viewer • Updated Jan 26 • 1.4k • 913 • 11
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11 • 124 • 8
corbyrosset/researchy_questions

Viewer • Updated Feb 29 • 96.4k • 1.39k • 24
argilla/ultrafeedback-binarized-preferences

Viewer • Updated Nov 30, 2023 • 63.6k • 271 • 66

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 99
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 38
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15 • 17
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15 • 35

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 20
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 64

JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Paper • 2310.17631 • Published Oct 26, 2023 • 32
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 35
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Paper • 2303.16634 • Published Mar 29, 2023 • 3
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Paper • 2310.12397 • Published Oct 19, 2023 • 1

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 7
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 12
LASER: LLM Agent with State-Space Exploration for Web Navigation

Paper • 2309.08172 • Published Sep 15, 2023 • 11
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Paper • 2310.15123 • Published Oct 23, 2023 • 7
Diversity of Thought Improves Reasoning Abilities of Large Language Models

Paper • 2310.07088 • Published Oct 11, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 12
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 11
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 18
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

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