inclusionAI/Ring-mini-linear-2.0
Text Generation
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16B
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Updated
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17
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16
Chmielewski
Eryk-Chmielewski
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Evolution of Concepts in Language Model Pre-Training
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2509.17196
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1
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
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2509.19284
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19
Soft Tokens, Hard Truths
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14
SWE-QA: Can Language Models Answer Repository-level Code Questions?
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2509.14635
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33
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe
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44
Reinforcement Learning on Pre-Training Data
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2509.19249
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58
Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say
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2509.21164
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3
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory
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2509.14662
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10
Tree Search for LLM Agent Reinforcement Learning
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2509.21240
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67
VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
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2509.19803
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105
SIM-CoT: Supervised Implicit Chain-of-Thought
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2509.20317
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33
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