Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
Paper
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2308.10379
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Published
Toolkit - Prompting Papers
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Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Paper • 2308.09687 • Published • 7 -
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Paper • 2307.15337 • Published • 38 -
Tab-CoT: Zero-shot Tabular Chain of Thought
Paper • 2305.17812 • Published • 2 -
Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models
Paper • 2305.16582 • Published -
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
Paper • 2305.15408 • Published -
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
Paper • 2305.04091 • Published • 3 -
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Paper • 2302.12822 • Published -
Faithful Chain-of-Thought Reasoning
Paper • 2301.13379 • Published -
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
Paper • 2212.10509 • Published • 1 -
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Paper • 2212.10001 • Published -
Automatic Chain of Thought Prompting in Large Language Models
Paper • 2210.03493 • Published • 2 -
Large Language Models are Zero-Shot Reasoners
Paper • 2205.11916 • Published • 3 -
Aggregated Contextual Transformations for High-Resolution Image Inpainting
Paper • 2104.01431 • Published