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RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models
Arxiv
0+阅读 · 2月19日
Training Large Reasoning Models Efficiently via Progressive Thought Encoding
Arxiv
0+阅读 · 2月18日
Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning
Arxiv
0+阅读 · 2月16日
To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
Arxiv
0+阅读 · 2月11日
ESTAR: Early-Stopping Token-Aware Reasoning For Efficient Inference
Arxiv
0+阅读 · 2月10日
Consistency of Large Reasoning Models Under Multi-Turn Attacks
Arxiv
0+阅读 · 2月13日
Consistency of Large Reasoning Models Under Multi-Turn Attacks
Arxiv
0+阅读 · 2月16日
RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling
Arxiv
0+阅读 · 2月15日
BFS-PO: Best-First Search for Large Reasoning Models
Arxiv
0+阅读 · 2月16日
Steering Large Reasoning Models towards Concise Reasoning via Flow Matching
Arxiv
0+阅读 · 2月5日
D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use
Arxiv
0+阅读 · 2月2日
NEAT: Neuron-Based Early Exit for Large Reasoning Models
Arxiv
0+阅读 · 2月2日
Reuse, Don't Recompute: Efficient Large Reasoning Model Inference via Memory Orchestration
Arxiv
0+阅读 · 2月2日
Conditional Performance Guarantee for Large Reasoning Models
Arxiv
0+阅读 · 1月30日
Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models
Arxiv
0+阅读 · 2月2日
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