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Momentum

8 papers in the last four weeks, up 33% on the four weeks before. 0.1% of all new papers.

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  1. PhasePlan: Ordered Future-Phase Planning for Robot Brain Models

    Sep 30, 2026Xiaoyu Yang, Yafei Zhang, Wensheng Li +2Action PredictionPlanning

  2. Do Self-Evolving Skills Generalize to Held-Out Tasks?

    Sep 30, 2026Xihao Piao, Zifeng Wang, Zhen ChenSkill EvolutionSkills

    SANKEN, Osaka University

  3. Refusals That Bend: Measuring and Predicting Task Malleability in Embodied VLM Planners

    Sep 30, 2026Leo Y. Lin, Mikhail Kuznetsov, Muslum Ozgur Ozmen +1Safety AlignmentRefusals

    Purdue University · Amazon · Arizona State University

  4. Self-Evolving Harness on Multiple Tasks with the Agent as Its Own Optimizer

    Sep 29, 2026Qiankai XuEvolving HarnessLanguage-Model Agents

    Nanjing University

  5. Compressing Value Predictions for Learning-Augmented Metrical Task Systems

    Sep 27, 2026Sizhe Li, Yecheng Li, Kun HeLearning-Augmented AlgorithmsValue

    School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan, Hubei 430074, China · School of Computer Science and Technology Huazhong University of Science and Technology Wuhan, Hubei 430074, China

  6. Turning Safety into Competence: Minimally Exploitable Robot Policies via Safety-Filtered Reinforcement Learning

    Sep 23, 2026Ruihan Wu, Rui Yang, Donggeon David Oh +2Safety FiltersRobot Policies

    Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA · Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, USA

  7. Multitask Reinforcement Learning for Assisting Choice Model Specification

    Sep 16, 2026Gabriel Nova, Stephane Hess, Sander Van CranenburghMulti-Turn Reinforcement LearningNew Tasks

    CityAI Lab, Transport and Logistics Group, Delft University of Technology, The Netherlands · Institute for Transport Studies and Choice Modelling Centre, University of Leeds, UK

  8. When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration

    Sep 14, 2026AI Collaboration, Jiaying Wu, Caleb Ziems +19Human-Ai CollaborationAgentic Workflows

    National University of Singapore · Stanford University · Genue +10

  9. Actuator Dynamics Curricula for Narrow-Viability Tasks in Legged Robot Learning

    Sep 8, 2026Kousheek Chakraborty, Chandan K. Rajendra, Ayham Alharbat +1ActuatorAgile Locomotion

    Saxion University of Applied Sciences · University of Groningen · University of Twente

  10. Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks

    Sep 8, 2026Mariia Drozdova, Stéphane Liem Nguyen, François FleuretDenoising Diffusion Probabilistic ModelDiffusion Models

    University of Geneva

  11. The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution?

    Sep 8, 2026Boyang Wang, Yunhan Wang, Yalun WuLarge Language Model AgentsNew Tasks

    Independent Researcher · Beihang University · NExT++ Lab, School of Computing, National University of Singapore

  12. One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning

    Aug 31, 2026Yunxiang Fu, Meng Lou, Yizhou YuClass-Incremental LearningContinual Learning

    School of Computing and Data Science The University of Hong Kong

  13. Decentralized Multitask Learning over Learned Task Graphs

    Aug 27, 2026Zirui Wan, Stefan VlaskiGraph Representation LearningDecentralized Learning

    Department of Electrical and Electronic Engineering, Imperial College London, UK

  14. A Taxonomy of Construction Task Activities for Robot Workers

    Aug 26, 2026Sadman Sakib, Zhangyi None Peng, Yujie Pang +2ConstructionNew Tasks

    The authors are with the Nhu Department of Electrical Engineering and Computer Science, University of California-Irvine, Irvine, CA, USA · The authors contributed during the UCInspire program · The author is with the Department of Civil and Environmental Engineering, University of California-Irvine, Irvine, CA, USA

  15. Multitask Scanning Probe Microscopy

    Aug 10, 2026Aditya Raghavan, Yu Liu, Ian Mercer +2Electron MicroscopyMicroscopy

    University of Tennessee, Knoxville, TN, USA · 2Pennsylvania State University, University Park, PA, USA

  16. Coordinated Multi-Robot Disassembly for Makespan Optimization of Large-Scale Assemblies

    Aug 6, 2026Niklas Hargus, Andreas Orthey, Marc ToussaintMulti-Robot Motion PlanningMulti-Robot Systems

    Technical University of Berlin, Germany · Robotics Institute Germany (RIG)

  17. Optimal Training-Time Scaling in Gradual Adaptation

    Aug 5, 2026Zonghuan Xu, Krishna HarishBatchTraining Time

    Fudan University Shanghai, China · Lawrence E. Elkins High School Missouri City, Texas, USA

  18. Evaluating LLMs in Database Scenarios: A Lifecycle Benchmark for Assessing Their Potential in Core Database Tasks

    Aug 4, 2026Shunfan Zheng, Dongsheng Shi, Yue Li +3Text-To-SqlLarge Language Model Benchmarks

    1East China Normal University · 2Hasso Plattner Institute/University of Potsdam

  19. Verified Tool Calls Improve LLM Agent Reliability Under Non-Atomic Failures

    Jul 31, 2026Isham Kalappurackal Mansoor, Abhishek Phadke, Pratip RanaLarge Language Model AgentsCall

    Department of Computer Science Old Dominion University Norfolk, VA 23529 · School of Engineering and Computing Christopher Newport University Newport News, VA 23606

  20. Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding

    Jul 30, 2026Shiwei Gan, Lichen Wang, Xiao Liu +4Sign Language TranslationNew Tasks

    State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210023, China

  21. From Isolated Tasks to Structured Capabilities: A Multilayer Taxonomy for Large Language Models

    Jul 24, 2026Shixin Fang, Jiachen Wo, Wenjuan Qin +2Large Language Model EvaluationCognitive Science

    Fudan University

  22. Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks

    Jul 21, 2026Guy Stephane Waffo Dzuyo, Gaël Guibon, Christophe Cerisara +1Fraud DetectionFinancial Question Answering

    Forvis Mazars · LORIA CNRS Université de Lorraine · LORIA, CNRS, Universit´e de Lorraine +2

  23. How Many Tasks Are Enough for Agent Benchmark Decisions? A Replay Analysis of Public LLM Agent Benchmarks

    Jul 14, 2026Wei-Jung HuangAgentic BenchmarksSwe-Bench Verified

    Independent Researcher · United States

  24. Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time

    Jun 14, 2026Jeongeun Park, Juhan Park, Taekyung Kim +3Goal-Conditioned Dynamic ManipulationCross-Embodiment Transfer

    NAVER AI Lab · Korea University

  25. When Good Verifiers Go Bad: Silent Negative Transfer in Verifier-Guided VLM Training

    Jun 12, 2026Jianzhe LinVerification FrameworkSelf-Verification

    MetaAI · Work done at Meta

  26. Decoding Insect Song: A Multitask Semisupervised Orthoptera Bioacoustic Classifier

    Jun 11, 2026Olga Isupova, Danil Kuzin, Ella Browning +2Passive Acoustic MonitoringSpecies Identification

    Leverhulme Centre for Nature Recovery, School of Geography and the Environment, University of Oxford, Oxford, UK

  27. Not Just After One: Sleep-Inspired Replay Prevents Catastrophic Forgetting After Sequential Tasks

    Jun 7, 2026Anthony Bazhenov, Jean Erik Delanois, Giri P. KrishnanCatastrophic ForgettingContinual Learning

    Khoury College of Computer Sciences, Northeastern University, Boston, MA · Department of Medicine, University of California, San Diego, La Jolla, CA, USA · ARTISAN, Georgia Institute of Technology, Atlanta, GA USA

  28. Learning-Augmented Online Minimization with Dual Predictions

    Jun 3, 2026Christian Coester, Alexa Tudose, Alexander TuroczyLearning-Augmented AlgorithmsFlat Minima

    University of Oxford, United Kingdom

  29. Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation

    Jun 3, 2026Sharon Zhang, R. Kenny Jones, Jiajun Wu +1LayoutsNew Tasks

    Stanford University, Stanford, California, USA · Roblox, San Mateo, California, USA

  30. CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks

    Jun 2, 2026Alexander Apartsin, Yehudit ApersteinLanguage ModelingLeaderboard

    Holon Institute of Technology, Israel · Afeka Tel Aviv Academic College of Engineering, Israel

  31. DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration

    Jun 2, 2026Wenkai Wang, Tao Xiong, Jingchen Ni +6Agentic Workflow DesignNew Tasks

    1Zhejiang University · 2Tsinghua University · 3Tencent +1

  32. Hedging on the Frontier: Learning New Tasks with Few Samples

    May 29, 2026Tobias Wegel, Federico Di Gennaro, Geelon So +1LearnabilityMonotonicity

    Department of Computer Science, ETH Zurich · Department of Computer Science and Engineering, UC San Diego

  33. Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation

    May 28, 2026Adam Ousherovitch, Yixin WangExtrapolationEfficient Task Adaptation

    Department of Statistics, University of Michigan, Ann Arbor.

  34. Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems

    May 24, 2026Andy Xu, Yu-Wing TaiModel-Based Multi-Agent SystemsNew Tasks

    Dartmouth College

  35. Multitask learning with semiempirical orbital charges enables sample-efficient MLIPs

    May 22, 2026Ihor Neporozhnii, Sjoerd Hoogland, Oleksandr VoznyyInteratomic PotentialsQuantum Chemistry

    Department of Physical and Environmental Sciences, University of Toronto, 1065 Military Trail, Toronto, M1C 1A4, Ontario, Canada. · The Alliance for AI-Accelerated Materials Discovery, 10 King’s College Road, Toronto, M5S 3G4, Ontario, Canada. · Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, M5S 3G4, Ontario, Canada.

  36. Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling

    May 20, 2026Caleb Winston, Ron Yifeng Wang, Azalia Mirhoseini +1Smooth ExecutionNew Tasks

    Stanford University, Stanford, CA, USA.

  37. Herculean: An Agentic Benchmark for Financial Intelligence

    May 14, 2026Xueqing Peng, Zhuohan Xie, Yupeng Cao +60Financial Question AnsweringAgentic Workflows

  38. Active multiple matrix completion with adaptive confidence sets

    May 4, 2026Andrea Locatelli, Alexandra Carpentier, Michal ValkoTensor CompletionMatrix

    OvGU Magdeburg · SequeL team, Inria Lille

  39. A Comparative Study of QSPR Methods on a Unique Multitask PAMPA dataset

    May 1, 2026Andrs Formanek, Anna Vincze, Richrd Bicsak +3Molecular Property PredictionDeep Learning

    Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems,May Signal Processing and Data Analytics, KU Leuven, 3001 Leuven, Belgium · Department of Artificial Intelligence and Systems Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary[cs.LG] · Department of Chemical and Environmental Process Engineering, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary +2

  40. WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments

    Apr 30, 2026Jinchao Li, Yunxin Li, Chenrui Zhao +3Graphical User Interface AgentsNew Tasks

    Harbin Institute of Technology, Shenzhen · Shenzhen Loop Area Institute

  41. Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis

    Apr 27, 2026Amal Akli, Mike Papadakis, Maxime Cordy +1Code GenerationLarge Language Model Generation

    University of Luxembourg Luxembourg

  42. ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents

    Apr 26, 2026Fanqing Meng, Lingxiao Du, Zijian Wu +46Agentic BenchmarksClaw-Like Agent

  43. LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking

    Apr 16, 2026Lukas Helff, Quentin Delfosse, David Steinmann +6Reinforcement Learning With Verifiable RewardVerifiable Rewards

    TU Darmstadt · DFKI · Intrinsic +4

  44. A Multitask Large Reasoning Model for Molecular Science

    Mar 13, 2026Pengfei Liu, Shuang Ge, Xiaobo Wang +6MoleculenetLarge Reasoning Models

    Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, Southern Medical University, Guangzhou, Guangdong, 510515, China · Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518000, China · Guangdong Provincial Key Laboratory of Psychoactive Substances Monitoring and Safety, Anti-Drug Technology Center of Guangdong Province (National Anti-Drug Laboratory Guangdong Regional Center), Guangzhou, 510230, China +4

  45. Narrative Consolidation: Formulating a New Task for Unifying Multi-Perspective Accounts

    Dec 19, 2025Roger A. Finger, Eduardo G. Cortes, Sandro J. Rigo +1NarrativesSummarization

    Graduate Program in Applied Computing Universidade do Vale do Rio dos Sinos São Leopoldo, Brazil

  46. Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization

    Feb 3, 2025Minttu Alakuijala, Ya Gao, Georgy Ananov +4Artificial Intelligence AgentsInternalization

    Department of Computer Science, Aalto University · Department of Computer Science, University of Manchester · System 2 AI