23.09.24 (Sun)
Chain-of-Verification Reduces Hallucination in Large Language ModelsGeneration of plausible yet incorrect factual information, termed hallucination, is an unsolved issue in
Chain-of-Verification Reduces Hallucination in Large Language ModelsGeneration of plausible yet incorrect factual information, termed hallucination, is an unsolved issue in
From Sparse to Dense: GPT-4 Summarization with Chain of Density PromptingSelecting the ``right″ amount of information to include
Paper page - Measuring Faithfulness in Chain-of-Thought ReasoningJoin the discussion on this paper pageMeasuring Faithfulness in Chain-of-Thought ReasoningAnsh Radhakrishnan
Large Language Models Are Reasoning TeachersRecent works have shown that chain-of-thought (CoT) prompting can elicitlanguage models to solve complex reasoning
GitHub - amazon-science/auto-cot: Official implementation for “Automatic Chain of Thought Prompting in Large Language Models” (stay tuned & more