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Jul 23
Jul 23Collections
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Collections including paper arxiv:2305.03268
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Feb 11, 2024
Feb 11, 2024-
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 5 -
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Paper • 2310.04474 • Published • 2 -
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
Paper • 2310.08101 • Published • 2 -
Instance Needs More Care: Rewriting Prompts for Instances Yields Better Zero-Shot Performance
Paper • 2310.02107 • Published • 3
Collection by
Oct 4
Oct 4-
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 8 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 19 -
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Paper • 2310.05035 • Published • 1 -
Chain-of-Thought Reasoning is a Policy Improvement Operator
Paper • 2309.08589 • Published • 2
Collection by
Feb 20, 2024
Feb 20, 2024-
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 16 -
ExpeL: LLM Agents Are Experiential Learners
Paper • 2308.10144 • Published • 3 -
Demystifying GPT Self-Repair for Code Generation
Paper • 2306.09896 • Published • 20 -
Large Language Models are Better Reasoners with Self-Verification
Paper • 2212.09561 • Published • 1
Collection by
Oct 8
Oct 8-
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 • 81 -
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Paper • 2310.13332 • Published • 16
Collection by
Jul 23
Jul 23Collection by
Feb 20, 2024
Feb 20, 2024-
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 16 -
ExpeL: LLM Agents Are Experiential Learners
Paper • 2308.10144 • Published • 3 -
Demystifying GPT Self-Repair for Code Generation
Paper • 2306.09896 • Published • 20 -
Large Language Models are Better Reasoners with Self-Verification
Paper • 2212.09561 • Published • 1
Collection by
Feb 11, 2024
Feb 11, 2024-
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 5 -
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Paper • 2310.04474 • Published • 2 -
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
Paper • 2310.08101 • Published • 2 -
Instance Needs More Care: Rewriting Prompts for Instances Yields Better Zero-Shot Performance
Paper • 2310.02107 • Published • 3
Collection by
Oct 8
Oct 8-
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 • 81 -
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Paper • 2310.13332 • Published • 16
Collection by
Oct 4
Oct 4-
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 8 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 19 -
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Paper • 2310.05035 • Published • 1 -
Chain-of-Thought Reasoning is a Policy Improvement Operator
Paper • 2309.08589 • Published • 2