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7 days ago
7 days ago
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Discover the best community collections!
Collections including paper arxiv:2311.04205
Collection by
Feb 20, 2024
Feb 20, 2024
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A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 14 -
ExpeL: LLM Agents Are Experiential Learners
Paper • 2308.10144 • Published • 2 -
Demystifying GPT Self-Repair for Code Generation
Paper • 2306.09896 • Published • 19 -
Large Language Models are Better Reasoners with Self-Verification
Paper • 2212.09561 • Published • 1
Collection by
Feb 11, 2024
Feb 11, 2024
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JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Paper • 2310.17631 • Published • 34 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 35 -
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Paper • 2303.16634 • Published • 3 -
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Paper • 2310.12397 • Published • 1
Collection by
May 20, 2024
May 20, 2024
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Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Paper • 2204.04581 • Published • 1 -
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code
Paper • 2303.08033 • Published • 1 -
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
Paper • 2305.14869 • Published • 1 -
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering
Paper • 2305.05936 • Published • 1
Collection by
Apr 6, 2024
Apr 6, 2024
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Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
Paper • 2310.04484 • Published • 5 -
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 5 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Paper • 2310.13332 • Published • 15