Ax Eeham Khan, Firas Saidani, Owen Van Esbroeck, Richard Khoury, Leila Kosseim 3/2/2026

Low-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-Study

Study of continual pre-training for adapting LLMs to low-resource French dialects under tight compute and data constraints.

Ax Shenran Wang, Timothy Tin-Long Tse, Jian Zhu 3/2/2026

Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid Architectures

Investigation of in-context learning across transformer, state-space, and hybrid LLM architectures using behavioral and intervention methods.

Ax Gabrielle O'Brien, Antonio Pedro Santos Alves, Sebastian Baltes, Grischa Liebel, Mircea Lungu, Marcos Kalinowski 3/2/2026

User Misconceptions of LLM-Based Conversational Programming Assistants

Study of misconceptions novice programmers have about LLM-based coding assistants, examining impact of tool capabilities and extensions.

Ax Yihe Deng, I-Hung Hsu, Jun Yan, Zifeng Wang, Rujun Han, Gufeng Zhang, Yanfei Chen, Wei Wang, Tomas Pfister, Chen-Yu Lee 3/2/2026

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Training method combining supervised learning and reinforcement learning to improve multi-step reasoning in open-source LLMs.

Ax Jack Hong, Chenxiao Zhao, ChengLin Zhu, Weiheng Lu, Guohai Xu, Xing Yu 3/2/2026

DeepEyesV2: Toward Agentic Multimodal Model

Agentic multimodal model framework enabling tool invocation (code execution, web search) and reasoning integration for vision-language tasks.

Ax Davi Bastos Costa, Felippe Alves, Renato Vicente 3/2/2026

Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models

Analysis of how LLMs shift moral judgments under persona role-play, introducing benchmark metrics for moral susceptibility and robustness.

Ax Rasmus F. Orsoe, Stephan Meighen-Berger, Jeffrey Lazar, Jorge Prado, Ivan Mozun-Mateo, Aske Rosted, Philip Weigel, Arturo Llorente Anaya 3/2/2026

NuBench: An Open Benchmark for Deep Learning-Based Event Reconstruction in Neutrino Telescopes

Open benchmark for deep learning-based event reconstruction in neutrino telescope data using inverse problem solving.

Ax Vaibhav Singh, Oleksiy Ostapenko, Pierre-Andr\'e No\"el, Eugene Belilovsky, Torsten Scholak 3/2/2026

DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone

Diffusion language model using Mamba backbone for efficient inference, achieving higher throughput than transformer-based alternatives.

Ax Jieru Lin, Zhiwei Yu, B\"orje F. Karlsson 3/2/2026

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios

Benchmark for evaluating embodied AI agents on interaction with physical interfaces (switches, panels, GUIs) in complex environments.

Ax Juvenal Bassa, Arghya Chattopadhyay, Sudhir Malik, Mario Escabi Rivera 3/2/2026

MEDIC: a network for monitoring data quality in collider experiments

Machine learning system for automating data quality monitoring and anomaly detection in particle physics collider experiments.

Ax Ziyi Chen, Yingnan Guo, Zedong Chu, Minghua Luo, Yanfen Shen, Mingchao Sun, Junjun Hu, Shichao Xie, Kuan Yang, Pei Shi, Zhining Gu, Lu Liu, Honglin Han, Xiaolong Wu, Mu Xu, Yu Zhang, Ning Guo 3/2/2026

SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation

SocialNav foundation model for socially-aware embodied navigation with hierarchical architecture trained on 7M samples for human-compliant trajectory generation.

Ax Tao Zhe, Huazhen Fang, Kunpeng Liu, Qian Lou, Tamzidul Hoque, Dongjie Wang 3/2/2026

Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation

Heterogeneous multi-agent reinforcement learning with attention mechanism for automated feature transformation on structured data.

Ax Yu-Chao Hsu, Jiun-Cheng Jiang, Chun-Hua Lin, Kuo-Chung Peng, Nan-Yow Chen, Samuel Yen-Chi Chen, En-Jui Kuo, Hsi-Sheng Goan 3/2/2026

QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory

QKAN-LSTM combining quantum-inspired Kolmogorov-Arnold networks with LSTM for improved sequential modeling with reduced parameter redundancy.

Ax Li Ju, Jun Zhao, Mingxu Chai, Ziyu Shen, Xiangyang Wang, Yage Geng, Chunchun Ma, Hao Peng, Guangbin Li, Tao Li, Chengyong Liao, Fu Wang, Xiaolong Wang, Junshen Chen, Rui Gong, Shijia Liang, Feiyan Li, Ming Zhang, Kexin Tan, Junjie Ye, Zhiheng Xi, Shihan Dou, Tao Gui, Yuankai Ying, Yang Shi, Yue Zhang, Qi Zhang 3/2/2026

WisPaper: Your AI Scholar Search Engine

WisPaper end-to-end agent system for academic literature discovery and organization combining semantic search verification with workflow integration.

Ax Jiyoon Pyo, Yuankun Jiao, Dongwon Jung, Zekun Li, Leeje Jang, Sofia Kirsanova, Jina Kim, Yijun Lin, Qin Liu, Junyi Xie, Hadi Askari, Nan Xu, Muhao Chen, Yao-Yi Chiang 3/2/2026

FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models

FRIEDA benchmark evaluating vision-language models on multi-step cartographic reasoning with map interpretation for disaster response and urban planning.

Ax Aaron Defazio, Konstantin Mishchenko, Parameswaran Raman, Hao-Jun Michael Shi, Lin Xiao 3/2/2026

Smoothing DiLoCo with Primal Averaging for Faster Training of LLMs

Generalized Primal Averaging optimizer extending Nesterov's method for faster LLM training, unifying DiLoCo and schedule-free approaches with reduced memory requirements.

Ax Yingru Li, Jiacai Liu, Jiawei Xu, Yuxuan Tong, Ziniu Li, Qian Liu, Baoxiang Wang 3/2/2026

Trust Region Masking for Long-Horizon LLM Reinforcement Learning

Trust region masking technique for LLM reinforcement learning addressing off-policy mismatch and approximation errors from implementation divergences in policy gradient optimization.

Ax Arsham Khosravani, Alireza Hoseinpour, Arshia Akhavan, Mehdi Keshani, Abbas Heydarnoori 3/2/2026

LIA: Supervised Fine-Tuning of Large Language Models for Automatic Issue Assignment

LIA supervised fine-tuning approach using LLMs for automatic software issue assignment in large open-source projects without heavy project-specific training data.

Ax Boyang Wang, Yash Vishe, Xin Xu, Zachary Novack, Xunyi Jiang, Julian McAuley, Junda Wu 3/2/2026

CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning

CSyMR benchmark for compositional music information retrieval testing LLMs on multi-step reasoning over symbolic music scores and natural language queries.

Ax Yisheng Zhong, Zhengbang Yang, Zhuangdi Zhu 3/2/2026

DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher

DUET method for LLM unlearning via distillation from a contextualized teacher, removing undesirable knowledge without retraining while avoiding catastrophic forgetting.

Ax Yikai Zeng, Yingchao Piao, Changhua Pei, Jianhui Li 3/2/2026

LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -- A Case Study on SDGs

LEC-KG framework combining LLM semantic understanding with knowledge graph embeddings for automated domain-specific knowledge graph construction from unstructured text.

Ax Quanquan Peng, Yunfeng Lin, Yufei Xue, Jiangmiao Pang, Weinan Zhang 3/2/2026

Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control

Reinforcement learning approach for training humanoid whole-body controllers that generalize across diverse robot embodiments with varied dynamics and degrees of freedom.

Ax Farnoosh Hashemi, Michael W. Macy 3/2/2026

An Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model Agents

Empirical study of 32K LLM agents on Chirper.ai social media platform analyzing collective behaviors, biases, and exclusionary dynamics across 7M posts.

Ax Dominik P. Hofer, David Haag, Rania Islambouli, Jan D. Smeddinck 3/2/2026

Personality as Relational Infrastructure: User Perceptions of Personality-Trait-Infused LLM Messaging

Study on how LLM-generated personalized messages in behavior-change systems affect user perceptions through exposure patterns rather than individual message quality.

Ax Savan Doshi 3/2/2026

Beyond Accuracy: Risk-Sensitive Evaluation of Hallucinated Medical Advice

Risk-sensitive evaluation framework for LLM hallucinations in medical advice, assessing clinical harm severity beyond factual correctness.

Ax Iv\'an Arcuschin, David Chanin, Adri\`a Garriga-Alonso, Oana-Maria Camburu 3/2/2026

Biases in the Blind Spot: Detecting What LLMs Fail to Mention

Automated black-box pipeline detecting unverbalized biases in LLM chain-of-thought reasoning without predefined categories using task-specific evaluation.

Ax Zhen Bi, Xueshu Chen, Luoyang Sun, Yuhang Yao, Qing Shen, Jungang Lou, Cheng Deng 3/2/2026

RooflineBench: A Benchmarking Framework for On-Device LLMs via Roofline Analysis

RooflineBench: Roofline model-based benchmarking framework for characterizing performance of Small Language Models on edge hardware.

Ax Pengfei Zhang, Tianxin Xie, Minghao Yang, Li Liu 3/2/2026

Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis

Agentic system for respiratory disease diagnosis using multimodal sound generation and active adversarial curriculum learning.

Ax Daniel Romero-Alvarado, Fernando Mart\'inez-Plumed, Lorenzo Pacchiardi, Hugo Save, Siddhesh Milind Pawar, Behzad Mehrbakhsh, Pablo Antonio Moreno Casares, Ben Slater, Paolo Bova, Peter Romero, Zachary R. Tyler, Jonathan Prunty, Luning Sun, Jose Hernandez-Orallo 3/2/2026

Capabilities Ain't All You Need: Measuring Propensities in AI

Framework extending Item Response Theory to measure AI model propensities and behavioral tendencies beyond capability metrics.

Ax Rui Liu, Steven Jige Quan, Zhong-Ren Peng, Zijun Yao, Han Wang, Zhengzhang Chen, Kunpeng Liu, Yanjie Fu, Dongjie Wang 3/2/2026

City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification

Agentic system for hierarchical urban geospatial modification using multimodal models to handle dependency-aware city planning changes.

Ax Junchen Liu, Sven Elflein, Or Litany, Zan Gojcic, Ruilong Li 3/2/2026

Test-Time Training with KV Binding Is Secretly Linear Attention

Analysis showing test-time training with KV binding can be expressed as learned linear attention mechanism.

Ax Alina Devkota, Jacob Thrasher, Donald Adjeroh, Binod Bhattarai, Prashnna K. Gyawali 3/2/2026

FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning

Federated learning aggregation method using gradient-based weighting to address client drift and data heterogeneity.

Ax Darshan Gadginmath, Ahmed Allibhoy, Fabio Pasqualetti 3/2/2026

Provably Safe Generative Sampling with Constricting Barrier Functions

Safety filtering framework for flow-based generative models providing formal guarantees that generated samples satisfy hard constraints.

Ax Chengrui Qu, Yizhou Zhang, Nicolas Lanzetti, Eric Mazumdar 3/2/2026

Training Generalizable Collaborative Agents via Strategic Risk Aversion

Training approach for collaborative AI agents using strategic risk aversion to improve generalization when paired with new partners.

Ax Yicheng Bao, Xuhong Wang, Qiaosheng Zhang, Chaochao Lu, Xia Hu, Xin Tan 3/2/2026

To Deceive is to Teach? Forging Perceptual Robustness via Adversarial Reinforcement Learning

Adversarial dataset and training method to improve multimodal LLM robustness when handling visually complex scenes.

Ax Sarthak Munshi, Manish Bhatt, Vineeth Sai Narajala, Idan Habler, Ammar Al-Kahfah, Ken Huang, Blake Gatto 3/2/2026

Manifold of Failure: Behavioral Attraction Basins in Language Models

Framework for systematically mapping unsafe regions in LLMs using MAP-Elites quality diversity approach to characterize failure modes.

Ax Zezhou Wang, Youjie Li, Zhiqi Lin, Jiacheng Yang, Cong Xie, Guanyu Feng, Zheng Zhong, Ziyue Huang, Hongyu Zhu, Zhi Zhang, Yanghua Peng, Xin Liu 3/2/2026

veScale-FSDP: Flexible and High-Performance FSDP at Scale

Improved FSDP implementation supporting structure-aware training and non-element-wise optimizers for large-scale model training.

Ax Bangrui Xu, Qihang Yao, Zirui Tang, Xuanhe Zhou, Yeye He, Shihan Yu, Qianqian Xu, Bin Wang, Guoliang Li, Conghui He, Fan Wu 3/2/2026

MoDora: Tree-Based Semi-Structured Document Analysis System

Document analysis system for semi-structured documents with tables, charts, and hierarchical content for question-answering tasks.

Ax Pengxiang Li, Dilxat Muhtar, Tianlong Chen, Lu Yin, Shiwei Liu 3/2/2026

Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?

Analysis of why diffusion language models converge to autoregressive decoding instead of truly parallel generation despite theoretical advantages.

Ax Nazanin Mohammadi Sepahvand, Eleni Triantafillou, Hugo Larochelle, Doina Precup, Daniel M. Roy, Gintare Karolina Dziugaite 3/2/2026

Detoxifying LLMs via Representation Erasure-Based Preference Optimization

Defense method for LLMs against toxic outputs using representation erasure-based preference optimization, more robust than DPO/NPO approaches.

Ax Zezheng Wu, Rui Wang, Xinghe Cheng, Yang Shao, Qing Yang, Jiapu Wang, Jingwei Zhang 3/2/2026

U-CAN: Utility-Aware Contrastive Attenuation for Efficient Unlearning in Generative Recommendation

Machine unlearning technique for generative recommendation systems using LLMs to remove sensitive user attributes from model parameters.

Ax Shu Liu, Shubham Agarwal, Monishwaran Maheswaran, Mert Cemri, Zhifei Li, Qiuyang Mang, Ashwin Naren, Ethan Boneh, Audrey Cheng, Melissa Z. Pan, Alexander Du, Kurt Keutzer, Alexandros G. Dimakis, Koushik Sen, Matei Zaharia, Ion Stoica 3/2/2026

EvoX: Meta-Evolution for Automated Discovery

EvoX framework combines LLM-driven optimization with evolutionary search for automated discovery of programs, prompts, and algorithms.

Ax Alejandro Rodriguez Dominguez 3/2/2026

Human Supervision as an Information Bottleneck: A Unified Theory of Error Floors in Human-Guided Learning

Information-theoretic analysis of human supervision as bottleneck explaining persistent LLM errors from annotation noise and subjectivity.

Ax Yangyi Li, Mengdi Huai 3/2/2026

Uncertainty-aware Language Guidance for Concept Bottleneck Models

Framework using LLM guidance to annotate concepts for interpretable Concept Bottleneck Models with uncertainty awareness.

Ax Anik Pramanik, Murat Kantarcioglu, Vincent Oria, Shantanu Sharma 3/2/2026

FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments

FedDAG improves federated learning under data heterogeneity by combining data and gradient similarity for client clustering.

Ax Yicen Li, Jose Antonio Lara Benitez, Ruiyang Hong, Anastasis Kratsios, Paul David McNicholas, Maarten Valentijn de Hoop 3/2/2026

Neural Operators Can Discover Functional Clusters

Theoretical work proving neural operators can discover functional clusters in infinite-dimensional spaces.

Ax Martin \v{C}ern\'y, David Sychrovsk\'y, Filip \'Uradn\'ik, Jakub \v{C}ern\'y 3/2/2026

Active Value Querying to Minimize Additive Error in Subadditive Set Function Learning

Active learning approach for querying values of subadditive set functions with applications to combinatorial optimization.

Ax Aishwarya Sarkar, Sayan Ghosh, Nathan Tallent, Aman Chadha, Tanya Roosta, Ali Jannesari 3/2/2026

Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents

Rudder uses LLM agents to steer prefetching optimization in distributed GNN training for adaptive performance.

Ax Adhyyan Narang, Sarah Dean, Lillian J Ratliff, Maryam Fazel 3/2/2026

Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing

Analysis of learning dynamics when multiple platforms compete for users, showing convergence to poor models under certain conditions.

Ax Asiri Wijesinghe, Sevvandi Kandanaarachchi, Daniel M. Steinberg, Cheng Soon Ong 3/2/2026

Flowette: Flow Matching with Graphette Priors for Graph Generation

Flowette uses flow matching with graph neural networks to generate graphs with recurring subgraph motifs.