【本日の論文】
1. EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
https://huggingface.co/papers/2601.15876
2. HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
https://huggingface.co/papers/2601.14724
3. LLM-in-Sandbox Elicits General Agentic Intelligence
https://huggingface.co/papers/2601.16206
4. The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models
https://huggingface.co/papers/2601.15165
5. BayesianVLA: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
https://huggingface.co/papers/2601.15197

【本日の論文】
1. EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
https://huggingface.co/papers/2601.15876
2. HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
https://huggingface.co/papers/2601.14724
3. The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models
https://huggingface.co/papers/2601.15165
4. LLM-in-Sandbox Elicits General Agentic Intelligence
https://huggingface.co/papers/2601.16206
5. BayesianVLA: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
https://huggingface.co/papers/2601.15197

【本日の論文】
1. EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
https://huggingface.co/papers/2601.15876
2. The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models
https://huggingface.co/papers/2601.15165
3. HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
https://huggingface.co/papers/2601.14724
4. BayesianVLA: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
https://huggingface.co/papers/2601.15197
5. LLM-in-Sandbox Elicits General Agentic Intelligence
https://huggingface.co/papers/2601.16206

【本日の論文】
1. Agentic Reasoning for Large Language Models
https://huggingface.co/papers/2601.12538
2. MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents
https://huggingface.co/papers/2601.12346
3. Rethinking Video Generation Model for the Embodied World
https://huggingface.co/papers/2601.15282
4. Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance
https://huggingface.co/papers/2601.14171
5. Behavior Knowledge Merge in Reinforced Agentic Models
https://huggingface.co/papers/2601.13572

【本日の論文】
1. Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization
https://huggingface.co/papers/2601.12993
2. Advances and Frontiers of LLM-based Issue Resolution in Software Engineering: A Comprehensive Survey
https://huggingface.co/papers/2601.11655
3. Toward Efficient Agents: Memory, Tool learning, and Planning
https://huggingface.co/papers/2601.14192
4. OmniTransfer: All-in-one Framework for Spatio-temporal Video Transfer
https://huggingface.co/papers/2601.14250
5. FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
https://huggingface.co/papers/2601.13836

【本日の論文】
1. ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
https://huggingface.co/papers/2601.11077
2. Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
https://huggingface.co/papers/2601.08808
3. Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation
https://huggingface.co/papers/2601.10880
4. NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems
https://huggingface.co/papers/2601.11004
5. Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
https://huggingface.co/papers/2601.11061

【本日の論文】
・1. Controlled Self-Evolution for Algorithmic Code Optimization
・2. DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation
・3. MAXS: Meta-Adaptive Exploration with LLM Agents
・4. A^3-Bench: Benchmarking Memory-Driven Scientific Reasoning via Anchor and Attractor Activation
・5. Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning

【参考リンク】
Controlled Self-Evolution for Algorithmic Code Optimization: https://huggingface.co/papers/2601.07348
DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation: https://huggingface.co/papers/2601.09688
MAXS: Meta-Adaptive Exploration with LLM Agents: https://huggingface.co/papers/2601.09259
A^3-Bench: Benchmarking Memory-Driven Scientific Reasoning via Anchor and Attractor Activation: https://huggingface.co/papers/2601.09274
Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning: https://huggingface.co/papers/2601.09088