Papers

• PREPING: Building Agent Memory without Tasks (2026)
  Yumin Choi et al.
  1.94
• MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems (2026)
  Hyunji Lee et al.
  1.94
• Benchmark Everything Everywhere All at Once (2026)
  Shiyun Xiong et al.
  1.94
• ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics (2026)
  Shunkai Zhang et al.
  1.94
• Signals: Trajectory Sampling and Triage for Agentic Interactions (2026)
  Shuguang Chen et al.
  1.83
• CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation (2026)
  Haodong Li et al.
  1.78
• AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence (2025)
  Yuliang Liu et al.
  1.28
• Provable Benefits of In-Tool Learning for Large Language Models (2025)
  Sam Houliston et al.
  1.28
• Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning (2025)
  Yifei Chen et al.
  1.28
• RAG-Anything: All-in-One RAG Framework (2025)
  Zirui Guo et al.
  1.28
• The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language Models (2025)
  Lukas Gienapp et al.
  1.28
• DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI (2025)
  Hao Liang et al.
  1.28
• Natural Language Commanding via Program Synthesis (2023)
  Apurva Gandhi et al.
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• From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought (2023)
  Lionel Wong et al.
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• Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs (2024)
  Yifei Zhang et al.
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• CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM (2024)
  Jingwei Xu et al.
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