STaR: Bootstrapping Reasoning With Reasoning
Paper
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2203.14465
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Published
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8
advancing research
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DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
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Prompt Cache: Modular Attention Reuse for Low-Latency Inference
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Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
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Let's Verify Step by Step
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Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
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Solving math word problems with process- and outcome-based feedback
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Training Language Models to Self-Correct via Reinforcement Learning
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Aligning Machine and Human Visual Representations across Abstraction Levels
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GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
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nGPT: Normalized Transformer with Representation Learning on the Hypersphere
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Consistency Models
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Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
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Scaling Laws for Precision
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The Surprising Effectiveness of Test-Time Training for Abstract Reasoning
Paper • 2411.07279 • Published • 3 -
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Paper • 1909.13231 • Published • 1 -
Better & Faster Large Language Models via Multi-token Prediction
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O1 Replication Journey: A Strategic Progress Report -- Part 1
Paper • 2410.18982 • Published • 2 -
O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?
Paper • 2411.16489 • Published • 40 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 29 -
Self-Taught Evaluators
Paper • 2408.02666 • Published • 27 -
Memory Layers at Scale
Paper • 2412.09764 • Published • 1