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Reasoning Models Will Sometimes Lie About Their Reasoning
Arxiv
0+阅读 · 4月21日
SIEVES: Selective Prediction Generalizes through Visual Evidence Scoring
Arxiv
0+阅读 · 4月28日
Are Latent Reasoning Models Easily Interpretable?
Arxiv
0+阅读 · 4月6日
Reasoning Shift: How Context Silently Shortens LLM Reasoning
Arxiv
0+阅读 · 4月1日
AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
Arxiv
0+阅读 · 4月16日
Using large language models for embodied planning introduces systematic safety risks
Arxiv
0+阅读 · 4月20日
The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More
Arxiv
0+阅读 · 3月25日
Understanding Performance Gap Between Parallel and Sequential Sampling in Large Reasoning Models
Arxiv
0+阅读 · 4月7日
When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models
Arxiv
0+阅读 · 4月29日
How Utilitarian Are OpenAI's Models Really? Replicating and Reinterpreting Pfeffer, Krügel, and Uhl (2025)
Arxiv
0+阅读 · 3月24日
How Fast Should a Model Commit to Supervision? Training Reasoning Models on the Tsallis Loss Continuum
Arxiv
0+阅读 · 4月28日
Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models
Arxiv
0+阅读 · 4月3日
MolmoAct2: Action Reasoning Models for Real-world Deployment
Arxiv
0+阅读 · 5月4日
On The Fragility of Benchmark Contamination Detection in Reasoning Models
Arxiv
0+阅读 · 3月2日
ReSyn: Autonomously Scaling Synthetic Environments for Reasoning Models
Arxiv
0+阅读 · 2月23日
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