Inference-Time Guidance

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8 papers in the last four weeks, up 167% on the four weeks before. 0.1% of all new papers.

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  1. DiMOS: Doob-Guided Inference-Time Multi-Objective Search for Scientific Design

    Oct 5, 2026Ziqing Wang, Qijie Zhu, Weimin Wu +4Masked Diffusion ModelsInference-Time Search

    Northwestern University

  2. Completion Aware Guidance for World Action Models

    Oct 1, 2026Seungyeon Kim, Junhoo Lee, Baekseung Kim +2World ModelsAction-Conditioned World Models

    Seoul National University · KAIST

  3. Posterior sampling by source-space MCMC via prior-based few-step transport maps

    Oct 1, 2026Hoang Phuc Hau Luu, Marcelo Hartmann, Zhongjian WangMarkov Chain Monte CarloBayesian Inference

    Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore. · Department of Computer Science, Faculty of Science, University of Helsinki, Finland.

  4. WEIRDO: WEak resIdual Regularized DOob's h-transform diffusion alignment

    Sep 30, 2026Denis SuchkovDiffusion Model AlignmentDoob H-Transform

    HSE University, Russian Federation

  5. Steepest Guidance: A Practical and Principled Approach to Inference-Time Alignment of Flow and Diffusion-based Models

    Sep 30, 2026Shokichi Takakura, Akifumi Wachi, Rei Higuchi +2Diffusion Model AlignmentInference-Time Optimization

    LY Corporation · The University of Tokyo · RIKEN AIP

  6. Beam Search as Test-Time Self-Distillation via Counterfactual Contexts

    Sep 29, 2026Su Ee Tan, Xiaotong Ji, Rasul Tutunov +2Language Model DistillationSelf-Distillation

    Huawei Noah’s Ark Lab · UCL Centre for AI

  7. Steer2Grasp: Inference-Time Embodiment-Aware Steering for Diverse Physically Feasible Grasp Diffusion

    Sep 27, 2026Vignesh Vembar, Ayush Kaura, A Padmaprabhan +5Robotic GraspingInference-Time Guidance

    Robotics Research Center, IIIT Hyderabad · Johns Hopkins University

  8. Efficient Reasoning Exploration via State-Conditioned Latent Steering with Progress Guidance

    Sep 21, 2026Hengyuan Zhang, Chenming Shang, Zunhai Su +10Best-of-N SamplingInference-Time Guidance

    The University of Hong Kong · University of California, Los Angeles · Arizona State University +3

  9. Guiding Image-to-3D Generation with Test-Time Partial Observations

    Sep 9, 2026Jerred Chen, Simon Weber, Ronald Clark3D Asset Generation3D Shape Generation

    University of Oxford

  10. VGAS: Variance-Reduced Guidance and Adaptive Selection for Training-Free Reward Alignment in Discrete Diffusion

    Aug 27, 2026Kwanyoung KimDiffusion Model AlignmentDiffusion Model Guidance

    Department of AI, GIST

  11. CRAFT: LLM-Based Iterative Refinement for Temporal Reasoning over Clinical Narratives

    Aug 13, 2026Chengyang He, Tahreem Arif, Marko Zivkovic +3Temporal ReasoningClinical Reasoning

    Stevens Institute of Technology, Hoboken, NJ, 07030, USA · Genesis Research Group, Hoboken, NJ, 07030,USA · New Jersey Institute of Technology, Newark, NJ, 07102, USA

  12. How to Spend Your Oracle Budget: Practical Guidance for Protein Structure Prediction Models

    Aug 12, 2026Aleksandra Kalisz, Jack Simons, Krisztina Sinkovics +4Protein Structure PredictionInference-Time Optimization

    InstaDeep Ltd · University of Oxford · Lancaster University

  13. A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models

    Aug 9, 2026Samuel Howard, Nikolas NüskenInference-Time GuidanceDiffusion Models

    Department of Statistics, University of Oxford · Department of Mathematics, King’s College London

  14. Inference-Time Policy Alignment for Fair Reinforcement Learning

    Jul 31, 2026Umer Siddique, Peilang Li, Conor Wallace +1Algorithmic FairnessInference-Time Guidance

    Department of Electrical and Computer Engineering, University of Texas at San Antonio

  15. CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning

    Jul 22, 2026El Hassane Ettifouri, Ayoub Belfatmi, Mahaman Sanoussi Yahaya Alassan +1Inference-Time GuidanceLLM Reasoning

    Novelis Research, Paris, France

  16. Expert-Guided Forecast Editing for Time-Series Foundation Models

    Jul 22, 2026Hung Le, Minh Hoang Nguyen, Manh Nguyen +2Black-Box OptimizationTime Series Forecasting

    Deakin Applied Artifical Intelligence Initiative Deakin University, Australia

  17. Advanced Image Generation: Negative Prompt Optimization and Latent Classifier Guidance

    Jul 16, 2026Vaddi Charan Sai Nandan Reddy, Harini B, Chandana M SDiffusion Model GuidancePrompt Optimization

    Department of Computer Science, PES University, Bangalore, India

  18. Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows

    Jul 15, 2026Jingdong Zhang, Xinze Li, Yize Jiang +3Flow MatchingLyapunov-Based Control

    Department of Mathematics and I-X, Imperial College London, London, United Kingdom · MicroCyto, Beijing, China · Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China +1

  19. Energy-guided Recursive Model

    Jul 11, 2026Yifei Zhao, Ying TangInference-Time SearchEnergy-Based Models

    Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China

  20. Understanding and Mitigating the Video-Action Generalization Gap via Temporal Ratio

    Jul 9, 2026Utkarsh A. Mishra, Yongxin Chen, Danfei Xu +3Generalization in Robotic ManipulationVideo Action Recognition

    Georgia Tech · Amazon FAR

  21. FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation

    Jul 6, 2026Weichen Qin, Yufan Xie, Peihao Wang +8Flow MatchingSimulation-Based Inference

    ShanghaiTech University, Shanghai, China · The University of Texas at Austin, Austin, TX, USA · Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China +2

  22. Safe Inference-Time Alignment via Lagrangian Reward Augmentation

    Jul 2, 2026Yaswanth Chittepu, Ativ Joshi, Sohini Chintala +1LLM AlignmentLLM Safety Alignment

    University of Massachusetts Amherst · Independent Researcher

  23. G-RRM: Guiding Symbolic Solvers with Recurrent Reasoning Models

    Jul 2, 2026Timo Bertram, Sidhant Bhavnani, Richard Freinschlag +3Symbolic ReasoningNeuro-Symbolic Reasoning

    ELLIS Unit Linz, LIT AI Lab & Institute for Machine Learning, Johannes Kepler University Linz, Austria · Institute for Symbolic Artificial Intelligence, Johannes Kepler University Linz, Austria · Clinical Research Institute for Medical AI, Johannes Kepler University Linz, Austria

  24. Enhancing Flow Matching with A Unified Guidance Framework for Efficient and Robust Speech Synthesis

    Jul 1, 2026Zuda Yu, Qianhui Xu, Ting Chen +5Flow MatchingEfficient Inference

    Zuoyebang, China

  25. ReGuide: From Test-Time Guidance to Self-Improving Diffusion Policies

    Jun 27, 2026Tzu-Hsiang Lin, Srinivas Shakkottai, Dileep Kalathil +1Robot Policy AdaptationRobot Failure Recovery

    Texas A&M University

  26. DiffRGD: An Inference-Time Diffusion Guidance Through Riemannian Gradient Descent

    Jun 25, 2026Jia-Wei Liao, Li-Xuan Peng, Mei-Heng Yueh +3Diffusion Models for Image RestorationDiffusion Model Guidance

    1National Taiwan University · 4Academia Sinica · 2National Tsing Hua University +1

  27. Inference-Time Robot Behavior Steering through Physically-Aware Reconfiguration of Task-Structure

    Jun 25, 2026Yiyuan Pan, Hanjiang Hu, Shangtao Li +2Robot Policy AdaptationRobot Task Planning

    Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA

  28. G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance

    Jun 24, 2026Hang Yu, Ye Jin, Alessandro Canevaro +7Diffusion-Based PlanningMotion Planning

    Mercedes-Benz AG, Germany · TU Munich, Germany · University of Tübingen, Germany +1

  29. Towards Spec Learning: Inference-Time Alignment from Preference Pairs

    Jun 22, 2026Dhriti Krishnan, Tejas Goyal, Jaromir SavelkaLLM AlignmentPrompt Optimization

    Department of Computer Science Carnegie Mellon University

  30. Phase-Aware Guidance Injection for Recurrent MAPPO in Assembly-Line Disruption Recovery

    Jun 15, 2026Xin Huang, Yongcai Wang, Fengyi Zhang +3Combinatorial OptimizationLLM-Guided RL

    School of Information, Renmin University of China, Beijing 100872, China · State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China · The Information Science Academy, China Electronics Technology Group Corporation, Beijing 100043, China +2