Ax Naveen Raman, Stephanie Milani, Fei Fang 4/7/2026

Selecting Decision-Relevant Concepts in Reinforcement Learning

Algorithms for automatic selection of interpretable concepts for reinforcement learning agents without manual domain expertise.

Ax Cheng Xu, Changhong Jin, Yingjie Niu, Nan Yan, Yuke Mei, Shuhao Guan, Liming Chen, M-Tahar Kechadi 4/7/2026

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection

Dynamic benchmark for evaluating LLM-based fake news detection and fact-checking with time-aware evaluation to address benchmark contamination issues.

Ax Sercan Karaka\c{s} 4/7/2026

Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not

Study examining whether LLMs integrate world knowledge with syntactic structure in human-like ways using Turkish relative-clause attachment ambiguities as test cases.

Ax Yude Zou, Junji Gong, Xing Gao, Zixuan Li, Tianxing Chen, Guanjie Zheng 4/7/2026

InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement

Framework for generating human-object-scene interactions using instruction-conditioned generation with iterative refinement for embodied AI and simulation applications.

Ax Jiling Zhou, Aisvarya Adeseye, Seppo Virtanen, Antti Hakkala, Jouni Isoaho 4/7/2026

Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework

Structured prompt framework for improving chain-of-thought reasoning integrity in LLMs for analytical tasks. Addresses reliability issues.

Ax James Hu, Mahdi Ghelichi 4/7/2026

Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms

Robustness analysis of TabPFN attention mechanisms under noisy tabular data in few-shot learning. Tabular model evaluation.

Ax Ke Li, Maoliang Li, Jialiang Chen, Jiayu Chen, Zihao Zheng, Shaoqi Wang, Xiang Chen 4/7/2026

DIRECT: Video Mashup Creation via Hierarchical Multi-Agent Planning and Intent-Guided Editing

Multi-agent planning system for automated video mashup creation with hierarchical orchestration. Cross-modal video editing application.

Ax Hengrui Gu, Xiaotian Han, Yujing Bian, Kaixiong Zhou 4/7/2026

Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation

Entropy modulation approach for exploration in LLM reasoning with verifiable rewards. Addresses restricted exploration problem.

Ax Rafael O. Jarczewski, Gabriel U. Talasso, Leandro Villas, Allan M. de Souza 4/7/2026

Agentic Federated Learning: The Future of Distributed Training Orchestration

Framework using LLM agents to adapt federated learning orchestration to client heterogeneity and system dynamics. Improves distributed training.

Ax Shuai Liu, Shulin Tian, Kairui Hu, Yuhao Dong, Zhe Yang, Bo Li, Jingkang Yang, Chen Change Loy, Ziwei Liu 4/7/2026

FileGram: Grounding Agent Personalization in File-System Behavioral Traces

Framework for personalizing file-system agents using behavioral traces from local systems. Addresses privacy constraints in coworking AI.

Ax Mohammad Zangooei, Jannis Weil, Amr Rizk, Mina Tahmasbi Arashloo, Raouf Boutaba 4/7/2026

Analyzing Symbolic Properties for DRL Agents in Systems and Networking

Verification methods for deep RL agents in systems/networking to analyze behavior across system states. Addresses safe deployment.

Ax Gabriel Sarch, Linrong Cai, Qunzhong Wang, Haoyang Wu, Danqi Chen, Zhuang Liu 4/7/2026

Vero: An Open RL Recipe for General Visual Reasoning

Open-source visual reasoning VLM family matching proprietary models on charts, science, and spatial tasks. Includes training recipes and open weights.

Ax Parsa Hosseini, Sumit Nawathe, Mahdi Salmani, Meisam Razaviyayn, Soheil Feizi 4/7/2026

Early Stopping for Large Reasoning Models via Confidence Dynamics

Method to optimize inference cost in reasoning LLMs by detecting when to stop generation via confidence dynamics. Improves computational efficiency.

Ax Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman 4/7/2026

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning

Scalable opponent modeling combining tree search, generative models, and Nash bargaining for game-theoretic RL. Addresses imperfect information games.

Ax Dinesh Sharma, Ankit Shah, Chaitra Gopalappa 4/7/2026

A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis

Multi-agent RL framework for HIV epidemic control optimization. Public health policy application.

Ax Xiaojie Xu, Zongyuan Li, Chang Lu, Runnan Qi, Yanan Ni, Lumin Jiang, Xiangbei Liu, Xuebo Zhang, Yongchun Fang, Kuihua Huang, Xian Guo, Zhanghua Wu, Zhenya Li 4/7/2026

Reflection of Episodes: Learning to Play Game from Expert and Self Experiences

Framework combining LLM self-reflection with expert and self-experience for StarCraft II gameplay. Addresses complex environment learning.

Ax Yukun Huang, Sanxing Chen, Jian Pei, Manzil Zaheer, Bhuwan Dhingra 4/7/2026

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

Method for LLMs to generate reliable citations without external retrievers by leveraging pretraining knowledge. Improves inference efficiency.

Ax Michael Katz, Harsha Kokel, Sarath Sreedharan 4/7/2026

Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game

Benchmark for evaluating long-term planning capabilities of LLMs and AI agents. Addresses gap in existing planning benchmarks.

Ax Kei-Sing Ng 4/7/2026

Similarity Field Theory: A Mathematical Framework for Intelligence

Mathematical framework formalizing similarity relations as structural basis for dynamic systems. Theoretical foundational work.

Ax Lianhao Zhou, Hongyi Ling, Cong Fu, Yepeng Huang, Michael Sun, Wendi Yu, Xiaoxuan Wang, Xiner Li, Xingyu Su, Junkai Zhang, Xiusi Chen, Chenxing Liang, Xiaofeng Qian, Heng Ji, Wei Wang, Marinka Zitnik, Shuiwang Ji 4/7/2026

Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics

Survey of autonomous LLM agents for scientific discovery, orchestrating human scientists, code, and physics simulations.

Ax Anshuman Chhabra, Shrestha Datta, Shahriar Kabir Nahin, Prasant Mohapatra 4/7/2026

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges

Survey of security threats, defenses, and evaluation methods for agentic AI systems with tool use, planning, and autonomous execution.

Ax Chun Chet Ng, Jia Yu Lim, Wei Zeng Low 4/7/2026

PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval

PRISM: Training-free framework combining prompt engineering and multi-agent coordination for financial document retrieval with LLMs.

Ax Alexander Zadorojniy, Segev Wasserkrug, Eitan Farchi 4/7/2026

An Agent-Based Framework for the Automatic Validation of Mathematical Optimization Models

Agent-based framework for automatic validation of mathematical optimization models generated by LLMs from natural language descriptions.

Ax Leijie Wang, Otilia Stretcu, Wei Qiao, Thomas Denby, Krishnamurthy Viswanathan, Enming Luo, Chun-Ta Lu, Tushar Dogra, Ranjay Krishna, Ariel Fuxman 4/7/2026

Agile Deliberation: Concept Deliberation for Subjective Visual Classification

Research on iterative concept refinement for vision classifiers through human-in-the-loop deliberation for subjective visual tasks.

Ax Haoyu Dong, Pengkun Zhang, Yan Gao, Xuanyu Dong, Yilin Cheng, Mingzhe Lu, Zikun Zhu, Adina Yakefu, Shuxin Zheng 4/7/2026

Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows

Finch: benchmark for evaluating agents on enterprise finance workflows including data entry, retrieval, calculation, and reporting using Enron dataset.

Ax Rahul Baxi 4/7/2026

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models

DDFT protocol for measuring epistemic robustness in LMs under degraded information and adversarial stress beyond static benchmarks.

Ax Rongxin Chen, Tianyu Wu, Bingbing Xu, Jiatang Luo, Xiucheng Xu, Huawei Shen 4/7/2026

HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation

HAG framework for topic-adaptive agent generation in agent-based modeling balancing macro-level distributions with micro-level rationality.

Ax Mayank Sharma, Roy Pea, Hari Subramonyam 4/7/2026

ConvoLearn: A Dataset for Fine-Tuning Dialogic AI Tutors

ConvoLearn dataset of 2,134 tutor-student dialogues for fine-tuning LLMs on dialogic tutoring principles in science education.

Ax Jon Chun, Katherine Elkins 4/7/2026

The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Decision-Making

Study showing LLMs exhibit robustness to emotional framing in rule-bound decision-making despite known brittleness to prompt perturbations.

Ax Shichao Ma, Zhiyuan Ma, Ming Yang, Xiaofan Li, Xing Wu, Jintao Du, Yu Cheng, Weiqiang Wang, Qiliang Liu, Zhengyang Zhou, Yang Wang 4/7/2026

TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization

TSPO: RL framework for multi-turn search-augmented LLM reasoning addressing process and reward homogenization in tool-integrated tasks.

Ax Ivaxi Sheth, Zhijing Jin, Bryan Wilder, Dominik Janzing, Mario Fritz 4/7/2026

IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery

Multi-agent LLM framework for discovering instrumental variables in causal inference through interdisciplinary knowledge synthesis.

Ax Bowen Liu, Zhi Wu, Runquan Xie, Zhanhui Kang, Jia Li 4/7/2026

Scaling the Scaling Logic: Agentic Meta-Synthesis of Logic Reasoning

SSLogic: agentic meta-synthesis framework where LLM agents iteratively create and refine generator-validator pairs for logic reasoning tasks.

Ax Yue Liu, Yingwei Ma, Yibo Miao, Yanhao Li, Yuchong Xie, Xinlong Yang, Zhiyuan Hu, Flood Sung, Jiaheng Zhang, Bryan Hooi 4/7/2026

KLong: Training LLM Agent for Extremely Long-horizon Tasks

KLong: open-source LLM agent trained for extremely long-horizon tasks using trajectory-splitting SFT and progressive RL with Research-Factory pipeline.

Ax Christopher Cruz 4/7/2026

AI Runtime Infrastructure

AI Runtime Infrastructure layer that observes and optimizes agent execution for task success, latency, token efficiency, and safety.

Ax Yukun Huang, Leonardo F. R. Ribeiro, Momchil Hardalov, Bhuwan Dhingra, Markus Dreyer, Venkatesh Saligrama 4/7/2026

DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality

DeepFact benchmark and co-evolving agent system for testing factuality of search-augmented LLM-generated research reports.

Ax Cong Cao, Jingyao Zhang, Kun Tong 4/7/2026

A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action Generation

HECG framework for autonomous agents using LLMs with multi-dimensional error correction and strategy transfer across tasks.

Ax Hajime Shimao, Warut Khern-am-nuai, Sung Joo Kim 4/7/2026

Collective AI can amplify tiny perturbations into divergent decisions

Study showing that deliberation between multiple LLMs can amplify tiny perturbations into divergent decisions, challenging robustness assumptions.

Ax Houston Haynes 4/7/2026

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

Proposes alternative training architecture for geometric and neuromorphic AI using non-standard arithmetic to reduce memory overhead.

Ax Mistral-AI, :, Alexander H. Liu, Alexis Tacnet, Andy Ehrenberg, Andy Lo, Chen-Yo Sun, Guillaume Lample, Henry Lagarde, Jean-Malo Delignon, Jaeyoung Kim, John Harvill, Khyathi Raghavi Chandu, Lorenzo Signoretti, Margaret Jennings, Patrick von Platen, Pavankumar Reddy Muddireddy, Rohin Arora, Sanchit Gandhi, Samuel Humeau, Soham Ghosh, Srijan Mishra, Van Phung, Abdelaziz Bounhar, Abhinav Rastogi, Adrien Sad\'e, Alan Jeffares, Albert Jiang, Alexandre Cahill, Alexandre Gavaudan, Alexandre Sablayrolles, Am\'elie H\'eliou, Amos You, Andrew Bai, Andrew Zhao, Angele Lenglemetz, Anmol Agarwal, Anton Eliseev, Antonia Calvi, Arjun Majumdar, Arthur Fournier, Artjom Joosen, Avi Sooriyarachchi, Aysenur Karaduman Utkur, Baptiste Bout, Baptiste Rozi\`ere, Baudouin De Monicault, Benjamin Tibi, Bowen Yang, Charlotte Cronj\"ager, Cl\'emence Lanfranchi, Connor Chen, Corentin Barreau, Corentin Sautier, Cyprien Courtot, Darius Dabert, Diego de las Casas, Elizaveta Demyanenko, Elliot Chane-Sane, Emmanuel Gottlob, Enguerrand Paquin, Etienne Goffinet, Fabien Niel, Faruk Ahmed, Federico Baldassarre, Gabrielle Berrada, Ga\"etan Ecrepont, Gauthier Guinet, Genevieve Hayes, Georgii Novikov, Giada Pistilli, Guillaume Kunsch, Guillaume Martin, Guillaume Raille, Gunjan Dhanuka, Gunshi Gupta, Han Zhou, Harshil Shah, Hope McGovern, Hugo Thimonier, Indraneel Mukherjee, Irene Zhang, Jacques Sun, Jan Ludziejewski, Jason Rute, J\'er\'emie Dentan, Joachim Studnia, Jonas Amar, Jos\'ephine Delas, Josselin Somerville Roberts, Julien Tauran, Karmesh Yadav, Kartik Khandelwal, Kilian Tep, Kush Jain, Laurence Aitchison, Laurent Fainsin, L\'eonard Blier, Lingxiao Zhao, Louis Martin, Lucile Saulnier, Luyu Gao, Maarten Buyl, Manan Sharma, Marie Pellat, Mark Prins, Martin Alexandre, Mathieu Poir\'ee, Mathieu Schmitt, Mathilde Guillaumin, Matthieu Dinot, Matthieu Futeral, Maxime Darrin, Maximilian Augustin, Mert Unsal, Mia Chiquier, Mikhail Biriuchinskii, Minh-Quang Pham, Mircea Lica, Morgane Rivi\`ere, Nathan Grinsztajn, Neha Gupta, Olivier Bousquet, Olivier Duchenne, Patricia Wang, Paul Jacob, Paul Wambergue, Paula Kurylowicz, Philippe Pinel, Philom\`ene Chagniot, Pierre Stock, Piotr Mi{\l}o\'s, Prateek Gupta, Pravesh Agrawal, Quentin Torroba, Ram Ramrakhya, Randall Isenhour, Rishi Shah, Romain Sauvestre, Roman Soletskyi, Rosalie Millner, Rupert Menneer, Sagar Vaze, Samuel Barry, Samuel Belkadi, Sandeep Subramanian, Sean Cha, Shashwat Verma, Siddhant Waghjale, Siddharth Gandhi, Simon Lepage, Sumukh Aithal, Szymon Antoniak, Tarun Kumar Vangani, Teven Le Scao, Th\'eo Cachet, Theo Simon Sorg, Thibaut Lavril, Thomas Chabal, Thomas Foubert, Thomas Robert, Thomas Wang, Tim Lawson, Tom Bewley, Tom Edwards, Tyler Wang, Umar Jamil, Umberto Tomasini, Valeriia Nemychnikova, Vedant Nanda, Victor Jouault, Vincent Maladi\`ere, Vincent Pfister, Virgile Richard, Vladislav Bataev, Wassim Bouaziz, Wen-Ding Li, William Havard, William Marshall, Xinghui Li, Xingran Guo, Xinyu Yang, Yannic Neuhaus, Yassine El Ouahidi, Yassir Bendou, Yihan Wang, Yimu Pan, Zaccharie Ramzi, Zhenlin Xu 4/7/2026

Voxtral TTS

Voxtral TTS expressive multilingual text-to-speech model generating natural speech from minimal reference audio.

Ax Bowen Wei, Yunbei Zhang, Jinhao Pan, Kai Mei, Xiao Wang, Jihun Hamm, Ziwei Zhu, Yingqiang Ge 4/7/2026

ClawSafety: "Safe" LLMs, Unsafe Agents

ClawSafety exposes security vulnerabilities in local LLM agent frameworks where prompt injection enables privilege escalation.

Ax Prince Zizhuang Wang, Shuli Jiang 4/7/2026

AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks

AgentSocialBench evaluates privacy risks in collaborative multi-agent social networks with persistent LLM agents.

Ax Xue Liu, Xin Ma, Yuxin Ma, Yongchang Peng, Duo Wang, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, Xinyu Chen, Tianci He, Jiani Hou, Liang Hu, Ziyun Huang, Yongzhe Hui, Jianpeng Jiao, Chennan Ju, Yingru Kong, Yiran Li, Mengyun Liu, Luyao Ma, Fei Ni, Yiqing Ni, Yueyan Qiu, Yanle Ren, Zilin Shi, Zaiyuan Wang, Wenjie Yue, Shiyu Zhang, Xinyi Zhang, Kaiwen Zhao, Zhenwei Zhu, Shanshan Wu, Qi Zhao, Wenhao Huang 4/7/2026

Xpertbench: Expert Level Tasks with Rubrics-Based Evaluation

XpertBench evaluates LLM performance on expert-level open-ended tasks with rubrics-based assessment.

Ax Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin Talvitie, Micheal Bowling, Martha White 4/7/2026

Mitigating Value Hallucination in Dyna Planning via Multistep Predecessor Models

Addresses value hallucination in Dyna reinforcement learning agents through multistep predecessor models.

Ax Sibo Wang, Xiangkui Cao, Jie Zhang, Zheng Yuan, Shiguang Shan, Xilin Chen, Wen Gao 4/7/2026

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

VLBiasBench evaluates biases in large vision-language models across diverse domains and question formats.

Ax Lionel Z. Wang, Ka Chung Ng, Yiming Ma, Wenqi Fan 4/7/2026

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models

MegaFake dataset of LLM-generated fake news for understanding mechanisms behind AI-generated misinformation.

Ax Lechen Zhang, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens 4/7/2026

SPRIG: Improving Large Language Model Performance by System Prompt Optimization

SPRIG optimizes system prompts for LLMs using genetic algorithms to improve general task performance.

Ax Qintong Zhang, Bin Wang, Victor Shea-Jay Huang, Junyuan Zhang, Zhengren Wang, Hao Liang, Conghui He, Wentao Zhang 4/7/2026

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction

Comprehensive survey of document parsing techniques for extracting structured information from unstructured documents.

Ax Feijie Wu, Zitao Li, Fei Wei, Yaliang Li, Bolin Ding, Jing Gao 4/7/2026

Talk to Right Specialists: Iterative Routing in Multi-agent Systems for Question Answering

RIRS framework for multi-agent RAG systems to route complex questions across distributed knowledge bases.

Ax Boran Zhang, Muhan Xu, Zhijun Pan 4/7/2026

Human-AI Collaborative Game Testing with Vision Language Models

Human-AI collaboration for game testing using vision language models to enhance manual testing efficiency.

Ax Messi H. J. Lee, Calvin K. Lai 4/7/2026

Implicit Bias-Like Patterns in Reasoning Models

Reasoning Model Implicit Association Test studies implicit bias-like patterns in LLMs that use step-by-step reasoning.