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Collections including paper arxiv:2402.03620
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Feb 9
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Apr 29
Apr 29
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BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 48 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 104 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 25 -
Scaling Laws for Downstream Task Performance of Large Language Models
Paper • 2402.04177 • Published • 16
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Feb 8
Feb 8
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Apr 17
Apr 17
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Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 104 -
Customizing Language Model Responses with Contrastive In-Context Learning
Paper • 2401.17390 • Published -
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
Paper • 2402.06332 • Published • 17 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 91
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Feb 7
Feb 7
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Mar 8
Mar 8
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Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 104 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 91 -
Orca-Math: Unlocking the potential of SLMs in Grade School Math
Paper • 2402.14830 • Published • 23 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 46
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Feb 7
Feb 7