Collections
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Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
approximatelabs/tablib-v1-full
Viewer • Updated • 10.4B • 19.5k • 70 -
approximatelabs/tablib-v1-sample
Viewer • Updated • 44.9k • 159 • 16 -
TabLib: A Dataset of 627M Tables with Context
Paper • 2310.07875 • Published • 8
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Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Paper • 2403.14624 • Published • 52 -
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Paper • 2402.12875 • Published • 13
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Exploring Large Language Models' Cognitive Moral Development through Defining Issues Test
Paper • 2309.13356 • Published • 38 -
Unveiling Safety Vulnerabilities of Large Language Models
Paper • 2311.04124 • Published • 6 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69 -
Evaluating Frontier Models for Dangerous Capabilities
Paper • 2403.13793 • Published • 7
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Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
approximatelabs/tablib-v1-full
Viewer • Updated • 10.4B • 19.5k • 70 -
approximatelabs/tablib-v1-sample
Viewer • Updated • 44.9k • 159 • 16 -
TabLib: A Dataset of 627M Tables with Context
Paper • 2310.07875 • Published • 8
-
Exploring Large Language Models' Cognitive Moral Development through Defining Issues Test
Paper • 2309.13356 • Published • 38 -
Unveiling Safety Vulnerabilities of Large Language Models
Paper • 2311.04124 • Published • 6 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69 -
Evaluating Frontier Models for Dangerous Capabilities
Paper • 2403.13793 • Published • 7
-
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Paper • 2403.14624 • Published • 52 -
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Paper • 2402.12875 • Published • 13