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Solving math word problems with process- and outcome-based feedback
Paper • 2211.14275 • Published • 8 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 54 -
LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
Paper • 2404.05221 • Published • 1
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Collections including paper arxiv:2211.14275
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Phi-4 Technical Report
Paper • 2412.08905 • Published • 103 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 47 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 46 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 25
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Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 74 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 54 -
Solving math word problems with process- and outcome-based feedback
Paper • 2211.14275 • Published • 8
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STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 8 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 45 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 14 -
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 28
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A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 16 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 9 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 11 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 47