Key papers

• s1: Simple test-time scaling (2025)
  Niklas Muennighoff et al.
  9.77
• CoV: Chain-of-View Prompting for Spatial Reasoning (2026)
  Haoyu Zhao et al.
  1.94
• Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification (2026)
  Yuxuan Wan et al.
  1.94
• Learning to Discover at Test Time (2026)
  Mert Yuksekgonul et al.
  1.94
• CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation (2026)
  Zhongyuan Peng et al.
  1.94
• A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces (2026)
  Mingxuan Du et al.
  1.94
• RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment (2026)
  Liyao Jiang et al.
  1.94
• Believe Your Model: Distribution-Guided Confidence Calibration (2026)
  Xizhong Yang et al.
  1.94
• AIBench: Evaluating Visual-Logical Consistency in Academic Illustration Generation (2026)
  Zhaohe Liao et al.
  1.94
• FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration (2026)
  Qiyao Wang et al.
  1.94
• Process Reward Agents for Steering Knowledge-Intensive Reasoning (2026)
  Jiwoong Sohn et al.
  1.94
• Latent Preference Modeling for Cross-Session Personalized Tool Calling (2026)
  Yejin Yoon et al.
  1.94
• DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data (2026)
  Venus Team et al.
  1.94
• Improving Vision-language Models with Perception-centric Process Reward Models (2026)
  Yingqian Min et al.
  1.94
• SDR: Set-Distance Rewards for Radiology Report Generation (2026)
  Halil Ibrahim Gulluk et al.
  1.94
• FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search (2026)
  James Xu Zhao et al.
  1.94
• WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation (2026)
  Arnav Kumar Jain et al.
  1.94
• Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning (2026)
  Sajib Acharjee Dip et al.
  1.94
• TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems (2026)
  Chen Xu et al.
  1.89
• GridProbe: Posterior-Probing for Adaptive Test-Time Compute in Long-Video VLMs (2026)
  Mohamed Eltahir et al.
  1.89
• Reinforcement Learning via Value Gradient Flow (2026)
  Haoran Xu et al.
  1.83
• (1D) Ordered Tokens Enable Efficient Test-Time Search (2026)
  Zhitong Gao et al.
  1.83
• Reasoning over mathematical objects: on-policy reward modeling and test time aggregation (2026)
  Pranjal Aggarwal et al.
  1.78
• Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations (2026)
  Wei Liu et al.
  1.72
• Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs (2026)
  Yining Hong et al.
  1.72
• Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step (2025)
  Ziyu Guo et al.
  1.28
• Rank1: Test-Time Compute for Reranking in Information Retrieval (2025)
  Orion Weller et al.
  1.28
• Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning (2025)
  Yuxiao Qu et al.
  1.28
• ReasonIR: Training Retrievers for Reasoning Tasks (2025)
  Rulin Shao et al.
  1.28
• Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning (2025)
  Yinjie Wang et al.
  1.28
• Kinetics: Rethinking Test-Time Scaling Laws (2025)
  Ranajoy Sadhukhan et al.
  1.28
• Inverse Scaling in Test-Time Compute (2025)
  Aryo Pradipta Gema et al.
  1.28
• Efficient Agents: Building Effective Agents While Reducing Cost (2025)
  Ningning Wang et al.
  1.28
• Retrieval-augmented reasoning with lean language models (2025)
  Ryan Sze-Yin Chan et al.
  1.28
• AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning (2025)
  Zhanke Zhou et al.
  1.28
• Parallel Test-Time Scaling for Latent Reasoning Models (2025)
  Runyang You et al.
  1.28
• EAGER: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling (2025)
  Daniel Scalena et al.
  1.28
• Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models (2025)
  Guinan Su et al.
  1.28
• The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute (2025)
  Aman Sharma et al.
  1.28
• Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following (2025)
  Tianyi Xiong et al.
  1.28
• EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models (2025)
  Zechen Bai et al.
  1.28
• Knowledge Composition using Task Vectors with Learned Anisotropic Scaling (2024)
  Frederic Z. Zhang et al.
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