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How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
Paper • 2604.14164 • Published • 35 -
CoopReason/TESSY-Code-80K
Viewer • Updated • 80k • 894 • 10 -
CoopReason/TESSY-Math-12K
Viewer • Updated • 12.2k • 251 • 6 -
CoopReason/TESSY-SuperGPQA-3K
Viewer • Updated • 3.31k • 3.18k • 7
Collections
Discover the best community collections!
Collections including paper arxiv:2604.14164
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Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types
Paper • 2604.09544 • Published • 7 -
OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering
Paper • 2604.08209 • Published • 24 -
Training a Student Expert via Semi-Supervised Foundation Model Distillation
Paper • 2604.03841 • Published • 8 -
How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
Paper • 2604.14164 • Published • 35
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PretrainZero: Reinforcement Active Pretraining
Paper • 2512.03442 • Published • 51 -
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
Paper • 2512.03383 • Published • 6 -
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
Paper • 2511.21689 • Published • 128 -
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
Paper • 2511.18890 • Published • 36
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 407 • 105 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 42 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 90 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 89
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Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 56 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 35 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 25
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Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
Context Learning for Multi-Agent Discussion
Paper • 2602.02350 • Published • 4 -
XSkill: Continual Learning from Experience and Skills in Multimodal Agents
Paper • 2603.12056 • Published • 33 -
Online Experiential Learning for Language Models
Paper • 2603.16856 • Published • 59
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The Art of Scaling Reinforcement Learning Compute for LLMs
Paper • 2510.13786 • Published • 34 -
Attention Is All You Need for KV Cache in Diffusion LLMs
Paper • 2510.14973 • Published • 43 -
BitNet Distillation
Paper • 2510.13998 • Published • 62 -
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
Paper • 2510.19430 • Published • 55
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When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 26 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 62 -
Direct Preference Optimization Using Sparse Feature-Level Constraints
Paper • 2411.07618 • Published • 17 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 54
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How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
Paper • 2604.14164 • Published • 35 -
CoopReason/TESSY-Code-80K
Viewer • Updated • 80k • 894 • 10 -
CoopReason/TESSY-Math-12K
Viewer • Updated • 12.2k • 251 • 6 -
CoopReason/TESSY-SuperGPQA-3K
Viewer • Updated • 3.31k • 3.18k • 7
-
Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types
Paper • 2604.09544 • Published • 7 -
OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering
Paper • 2604.08209 • Published • 24 -
Training a Student Expert via Semi-Supervised Foundation Model Distillation
Paper • 2604.03841 • Published • 8 -
How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
Paper • 2604.14164 • Published • 35
-
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18 -
Context Learning for Multi-Agent Discussion
Paper • 2602.02350 • Published • 4 -
XSkill: Continual Learning from Experience and Skills in Multimodal Agents
Paper • 2603.12056 • Published • 33 -
Online Experiential Learning for Language Models
Paper • 2603.16856 • Published • 59
-
PretrainZero: Reinforcement Active Pretraining
Paper • 2512.03442 • Published • 51 -
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
Paper • 2512.03383 • Published • 6 -
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
Paper • 2511.21689 • Published • 128 -
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
Paper • 2511.18890 • Published • 36
-
The Art of Scaling Reinforcement Learning Compute for LLMs
Paper • 2510.13786 • Published • 34 -
Attention Is All You Need for KV Cache in Diffusion LLMs
Paper • 2510.14973 • Published • 43 -
BitNet Distillation
Paper • 2510.13998 • Published • 62 -
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
Paper • 2510.19430 • Published • 55
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 407 • 105 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 42 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 90 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 89
-
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 26 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 62 -
Direct Preference Optimization Using Sparse Feature-Level Constraints
Paper • 2411.07618 • Published • 17 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 54
-
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 56 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 35 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 25