Ax Rituparna R, Harsha Varthini, Aswani Kumar Cherukuri 29d ago

A Quantum Search Approach to Magic Square Constraint Problems with Classical Benchmarking

Quantum search approach using Grover's algorithm for combinatorial constraint satisfaction problems demonstrated on magic square generation.

Ax Chenxi Wang, Zhuoyun Yu, Xin Xie, Wuguannan Yao, Runnan Fang, Shuofei Qiao, Kexin Cao, Guozhou Zheng, Xiang Qi, Peng Zhang, Shumin Deng 29d ago

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Framework for automatically constructing plug-and-play skill knowledge bases for LLM agents to improve learning efficiency and generalization.

Ax Naveen Raman, Stephanie Milani, Fei Fang 29d ago

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 29d ago

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} 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 Gabriel Peyr\'e 29d ago

Muon Dynamics as a Spectral Wasserstein Flow

Analysis of Muon optimizer through spectral Wasserstein flow perspective. Gradient normalization for deep learning training.

Ax Hengrui Gu, Xiaotian Han, Yujing Bian, Kaixiong Zhou 29d ago

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 29d ago

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 29d ago

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 Daron Acemoglu, Tianyi Lin, Asuman Ozdaglar, James Siderius 29d ago

How AI Aggregation Affects Knowledge

Game-theoretic analysis of how AI aggregators affect social learning and knowledge formation. Theoretical study.

Ax Mohammad Zangooei, Jannis Weil, Amr Rizk, Mina Tahmasbi Arashloo, Raouf Boutaba 29d ago

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 29d ago

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 Sudarshan Rajagopalan, Vishal M. Patel 29d ago

Your Pre-trained Diffusion Model Secretly Knows Restoration

Technique for image restoration using pre-trained diffusion models without fine-tuning. Computer vision application.

Ax Parsa Hosseini, Sumit Nawathe, Mahdi Salmani, Meisam Razaviyayn, Soheil Feizi 29d ago

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 29d ago

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 29d ago

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 Michael Guerzhoy 29d ago

Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible

Critique of complexity-theoretic proof claiming machine learning cannot achieve AGI. Discusses theoretical foundations and proof assumptions.

Ax Doudou Zhou, Han Tong, Linshanshan Wang, Suqi Liu, Xin Xiong, Ziming Gan, Romain Griffier, Boris Hejblum, Yun-Chung Liu, Chuan Hong, Clara-Lea Bonzel, Tianrun Cai, Kevin Pan, Yuk-Lam Ho, Lauren Costa, Vidul A. Panickan, J. Michael Gaziano, Kenneth Mandl, Vianney Jouhet, Rodolphe Thiebaut, Zongqi Xia, Kelly Cho, Katherine Liao, Tianxi Cai 29d ago

Representation learning to advance multi-institutional studies with electronic health record data from US and France

Representation learning approach for multi-institutional health record studies addressing data heterogeneity and privacy. Healthcare 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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 Binxu Wang, Jingxuan Fan, Xu Pan 29d ago

Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers

Mechanistic interpretability study of how Diffusion Transformers generate correct spatial relations between objects in text-to-image generation.

Ax Mayank Sharma, Roy Pea, Hari Subramonyam 29d ago

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 29d ago

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 29d ago

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 Wei Dai, Haoyu Wang, Honghao Chang, Lijun He, Fan Li, Jian Sun, Haixia Bi 29d ago

Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional Feature Restoration

Method for improving Vision Language Model robustness when modalities are missing using scalable diffusion-based feature restoration.

Ax Ivaxi Sheth, Zhijing Jin, Bryan Wilder, Dominik Janzing, Mario Fritz 29d ago

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 Mistral-AI, :, Alexander H. Liu, Andy Ehrenberg, Andy Lo, Chen-Yo Sun, Guillaume Lample, Jean-Malo Delignon, Khyathi Raghavi Chandu, Patrick von Platen, Pavankumar Reddy Muddireddy, Rohin Arora, Sanchit Gandhi, Sandeep Subramanian, Soham Ghosh, Srijan Mishra, Abhinav Rastogi, Adrien Sad\'e, Alan Jeffares, Albert Jiang, Alexandre Cahill, Alexandre Gavaudan, Alexandre Sablayrolles, Am\'elie H\'eliou, Amos You, Andrew Bai, Angele Lenglemetz, Anmol Agarwal, Anton Eliseev, Antonia Calvi, Arjun Majumdar, Avi Sooriyarachchi, Baptiste Bout, Baptiste Rozi\`ere, Baudouin De Monicault, Benjamin Tibi, 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, 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, Jaeyoung Kim, Jan Ludziejewski, Jason Rute, Joachim Studnia, John Harvill, 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, Margaret Jennings, Marie Pellat, Mark Prins, Martin Alexandre, Mathieu Poir\'ee, Mathilde Guillaumin, Matthieu Dinot, Matthieu Futeral, Maxime Darrin, Maximilian Augustin, Mert Unsal, Mia Chiquier, Minh-Quang Pham, 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, Rishi Shah, Romain Sauvestre, Roman Soletskyi, Rosalie Millner, Rupert Menneer, Sagar Vaze, Samuel Barry, Samuel Humeau, Sean Cha, Shashwat Verma, Siddhant Waghjale, Siddharth Gandhi, Simon Lepage, Sumukh Aithal, Szymon Antoniak, 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, Van Phung, Vedant Nanda, Victor Jouault, Vincent Maladi\`ere, 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 29d ago

Voxtral Realtime

Voxtral Realtime: natively streaming ASR model achieving sub-second latency with end-to-end training for audio-text alignment.

Ax Bowen Liu, Zhi Wu, Runquan Xie, Zhanhui Kang, Jia Li 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 29d ago

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 Haoyu He, Yu Duan, Wenzhen Liu, Hanyuan Hang, Boyu Qin, Qiantu Tuo, Xiaoke Yang, Rui Li 29d ago

A Self-Evolving Defect Detection Framework for Industrial Photovoltaic Systems

Machine learning framework for automating defect detection in photovoltaic systems using electroluminescence imaging.

Ax Houston Haynes 29d ago

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 Huansheng Ning, Jianguo Ding 29d ago

An Onto-Relational-Sophic Framework for Governing Synthetic Minds

Conceptual framework for AI governance addressing regulatory gaps between task-specific systems and foundation models.