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Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Paper • 2501.19324 • Published • 30 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 76 -
Scalable-Softmax Is Superior for Attention
Paper • 2501.19399 • Published • 17 -
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
Paper • 2501.18965 • Published • 5
Collections
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Collections including paper arxiv:2501.18009
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MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
Paper • 2501.02955 • Published • 40 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 99 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 81 -
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Paper • 2501.09781 • Published • 24
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On Memorization of Large Language Models in Logical Reasoning
Paper • 2410.23123 • Published • 18 -
LLMs Do Not Think Step-by-step In Implicit Reasoning
Paper • 2411.15862 • Published • 8 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 77 -
Deliberation in Latent Space via Differentiable Cache Augmentation
Paper • 2412.17747 • Published • 30
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 54 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 76 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17