Papers

• Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience (2026)
  Zhongxiang Sun et al.
  1.94
• Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents (2026)
  Bowen Ye et al.
  1.94
• From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan Backdoors (2026)
  Jiejun Tan et al.
  1.94
• Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation (2026)
  Amin Karimi Monsefi et al.
  1.89
• Signals: Trajectory Sampling and Triage for Agentic Interactions (2026)
  Shuguang Chen et al.
  1.83
• ClawGym: A Scalable Framework for Building Effective Claw Agents (2026)
  Fei Bai et al.
  1.83
• Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests (2026)
  Jingjie Ning et al.
  1.67
• ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas (2026)
  Xiaoyu Tian et al.
  1.67
• SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories (2025)
  Muzhi Zhu et al.
  1.28
• FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS (2025)
  Chaeeun Kim et al.
  1.28
• VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos (2025)
  Jiashuo Yu et al.
  1.28
• Specification Self-Correction: Mitigating In-Context Reward Hacking Through Test-Time Refinement (2025)
  Víctor Gallego
  1.28
• Scaling Agents via Continual Pre-training (2025)
  Liangcai Su et al.
  1.28
• Multimodal Web Navigation with Instruction-Finetuned Foundation Models (2023)
  Hiroki Furuta et al.
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• GPT Can Solve Mathematical Problems Without a Calculator (2023)
  Zhen Yang et al.
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• RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval (2024)
  Parth Sarthi et al.
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• Improved Distribution Matching Distillation for Fast Image Synthesis (2024)
  Tianwei Yin et al.
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• HEMM: Holistic Evaluation of Multimodal Foundation Models (2024)
  Paul Pu Liang et al.
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• Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation (2024)
  Satyapriya Krishna et al.
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