#Reasoning Models
Latest news articles tagged with "Reasoning Models". Follow the timeline of events, related topics, and entities.
Articles (7)
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🇺🇸 The Detection--Extraction Gap: Models Know the Answer Before They Can Say It
[USA]
arXiv:2604.06613v1 Announce Type: cross Abstract: Modern reasoning models continue generating long after the answer is already determined. Across five model configurations, two families, and three be...
Related: #AI Efficiency, #Computational Waste -
🇺🇸 Towards Safer Large Reasoning Models by Promoting Safety Decision-Making before Chain-of-Thought Generation
[USA]
arXiv:2603.17368v1 Announce Type: new Abstract: Large reasoning models (LRMs) achieved remarkable performance via chain-of-thought (CoT), but recent studies showed that such enhanced reasoning capabi...
Related: #AI Safety -
🇺🇸 CRE-T1 Preview Technical Report: Beyond Contrastive Learning for Reasoning-Intensive Retrieval
[USA]
arXiv:2603.17387v1 Announce Type: cross Abstract: The central challenge of reasoning-intensive retrieval lies in identifying implicitreasoning relationships between queries and documents, rather than...
Related: #AI Retrieval -
🇺🇸 Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation
[USA]
arXiv:2603.09987v1 Announce Type: cross Abstract: Feature Transformation (FT) is a core data-centric AI task that improves feature space quality to advance downstream predictive performance. However,...
Related: #AI Optimization -
🇺🇸 CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs
[USA]
arXiv:2603.07078v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) have demonstrated strong performance by producing extended Chain-of-Thought (CoT) traces before answering. However, this ...
Related: #AI Evaluation -
🇺🇸 Know What You Know: Metacognitive Entropy Calibration for Verifiable RL Reasoning
[USA]
arXiv:2602.22751v1 Announce Type: new Abstract: Large reasoning models (LRMs) have emerged as a powerful paradigm for solving complex real-world tasks. In practice, these models are predominantly tra...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 OPE: Overcoming Information Saturation in Parallel Thinking via Outline-Guided Path Exploration
[USA]
arXiv:2602.08344v1 Announce Type: new Abstract: Parallel thinking has emerged as a new paradigm for large reasoning models (LRMs) in tackling complex problems. Recent methods leverage Reinforcement L...
Related: #Artificial Intelligence, #Machine Learning
Key Entities (3)
- Reasoning model (2 news)
- Reinforcement learning (1 news)
- Artificial intelligence (1 news)
About the topic: Reasoning Models
The topic "Reasoning Models" aggregates 7+ news articles from various countries.