Chain-of-Verification Reduces Hallucination in Large Language Models
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2309.11495
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Published
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37
coding with llms
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CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 69 -
SCREWS: A Modular Framework for Reasoning with Revisions
Paper • 2309.13075 • Published • 15 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 50 -
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
Paper • 2309.04663 • Published • 4 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 28 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 72 -
Large Language Models as Analogical Reasoners
Paper • 2310.01714 • Published • 14 -
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
Paper • 2310.11248 • Published • 3 -
Testing Language Model Agents Safely in the Wild
Paper • 2311.10538 • Published • 9 -
A Survey on Language Models for Code
Paper • 2311.07989 • Published • 21 -
Contrastive Chain-of-Thought Prompting
Paper • 2311.09277 • Published • 31 -
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks
Paper • 2311.09835 • Published • 7