Papers

• Logical Regression for Planning with Axioms (2026)
  Connor Little et al.
  4.39
• GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design (2026)
  Isabella A. Stewart et al.
  1.94
• Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? (2026)
  Dadi Guo et al.
  1.94
• MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents (2026)
  Ziyun Zeng et al.
  1.94
• Geometric Latent Reasoning Induces Shorter Generations in LLMs (2026)
  Shashi Kumar et al.
  1.94
• Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models (2026)
  Darrien McKenzie et al.
  1.94
• Teaching Language Models to Think in Code (2026)
  Hyeon Hwang et al.
  1.89
• DeonticBench: A Benchmark for Reasoning over Rules (2026)
  Guangyao Dou et al.
  1.83
• Reinforcement Learning via Value Gradient Flow (2026)
  Haoran Xu et al.
  1.83
• Phi-4-reasoning Technical Report (2025)
  Marah Abdin et al.
  1.28
• AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting (2025)
  Shijue Huang et al.
  1.28
• Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols (2025)
  Mikhail Terekhov et al.
  1.28
• Search Self-play: Pushing the Frontier of Agent Capability without Supervision (2025)
  Hongliang Lu et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• Interpretability at Scale: Identifying Causal Mechanisms in Alpaca (2023)
  Zhengxuan Wu et al.
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• BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models (2024)
  Xueliang Zhao et al.
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• Data Selection via Optimal Control for Language Models (2024)
  Yuxian Gu et al.
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