Ax Zhenghang Song, Tang Qian, Lu Chen, Yushuai Li, Zhengke Hu, Bingbing Fang, Yumeng Song, Junbo Zhao, Sheng Zhang, Tianyi Li 3/18/2026

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data

FEAT foundation model with linear complexity for structured data in healthcare, finance, and e-commerce with improved scalability.

Ax Lei Wang, Min Huang, Eduard Dragut 3/18/2026

DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis

DanceHA multi-agent framework for document-level aspect-based sentiment analysis, extracting ACOSI tuples from documents.

Ax Mahmoud Ibrahim, Bart Elen, Chang Sun, Gokhan Ertaylan, Michel Dumontier 3/18/2026

CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation

CompDiff uses hierarchical compositional diffusion to generate fair medical images across demographic groups and intersections.

Ax Yifei Zhang, Mingyang Li, Henry Gao, Liang Zhao 3/18/2026

EmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language Models

EmoLLM framework integrates appraisal-grounded cognitive-emotional reasoning into LLMs for contextually appropriate responses.

Ax Jared Moore, Ashish Mehta, William Agnew, Jacy Reese Anthis, Ryan Louie, Yifan Mai, Peggy Yin, Myra Cheng, Samuel J Paech, Kevin Klyman, Stevie Chancellor, Eric Lin, Nick Haber, Desmond C. Ong 3/18/2026

Characterizing Delusional Spirals through Human-LLM Chat Logs

Analysis of human-LLM chat logs characterizing delusional spirals and negative psychological effects from extended chatbot interactions.

Ax Laurent Cheret, Vincent L\'etourneau, Isar Nejadgholi, Chris Drummond, Hussein Al Osman, Maia Fraser 3/18/2026

Manifold-Matching Autoencoders

Manifold-Matching Autoencoders regularize autoencoders by aligning pairwise distances between latent and input spaces.

Ax Florian Holzbauer, David Schmidt, Gabriel Gegenhuber, Sebastian Schrittwieser, Johanna Ullrich 3/18/2026

Malicious Or Not: Adding Repository Context to Agent Skill Classification

Research on classifying malicious AI agent skills using repository context to improve detection in skill marketplaces.

Ax Yong Zou, Haoran Li, Fanxiao Li, Shenyang Wei, Yunyun Dong, Li Tang, Wei Zhou, Renyang Liu 3/18/2026

REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models

REFORGE reveals vulnerabilities in image generation model unlearning through multi-modal adversarial attacks in black-box settings.

Ax Ji-Fu Li, Manyi Zhang, Xiaobo Xia, Han Bao, Haoli Bai, Zhenhua Dong, Xianzhi Yu 3/18/2026

BATQuant: Outlier-resilient MXFP4 Quantization via Learnable Block-wise Optimization

BATQuant proposes outlier-resilient MXFP4 quantization via learnable block-wise optimization for deploying MLLMs and LLMs on accelerators.

Ax Redwan Sony, Anil K Jain, Ross Arun 3/18/2026

MLLM-based Textual Explanations for Face Comparison

Analysis of multimodal LLM-generated natural language explanations for face verification on unconstrained face images.

Ax Xiaojie Gu, Sherry T. Tong, Aosong Feng, Sophia Simeng Han, Jinghui Lu, Yingjian Chen, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Rex Ying, Irene Li 3/18/2026

Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models

Omanic, a benchmark for step-wise evaluation of multi-hop reasoning in LLMs with step-level annotations for diagnosing failures.

Ax Aishwarya Ramasethu, Niyathi Allu, Rohin Garg, Harshwardhan Fartale, Dun Li Chan 3/18/2026

Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?

Investigation of linguistically related language guidance for LLM translation in low-resource settings without large parallel data.

Ax Eason Chen, Ce Guan, Ahmed Elshafiey, Zhonghao Zhao, Joshua Zekeri, Afeez Edeifo Shaibu, Emmanuel Osadebe Prince, Cyuan-Jhen Wu 3/18/2026

When Openclaw Agents Learn from Each Other: Insights from Emergent AI Agent Communities for Human-AI Partnership in Education

Study of emergent AI agent communities on platforms, analyzing 167k+ agents learning from each other without researcher intervention.

Ax Jiawei Mao, Hardy Chen, Haoqin Tu, Yuhan Wang, Letian Zhang, Zeyu Zheng, Huaxiu Yao, Zirui Wang, Cihang Xie, Yuyin Zhou 3/18/2026

Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation

Kestrel, a training-free method for mitigating hallucinations in large vision-language models using grounding and self-refinement.

Ax Tianyuan Yuan, Zibin Dong, Yicheng Liu, Hang Zhao 3/18/2026

Fast-WAM: Do World Action Models Need Test-time Future Imagination?

World action models for embodied control that eliminate test-time future imagination while maintaining action performance.

Ax Jun Liu, Pu Zhao, Zhenglun Kong, Xuan Shen, Peiyan Dong, Fan Yang, Lin Cui, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Gaowen Liu, Yanzhi Wang, Dong Huang 3/18/2026

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Resource-aware LLM-based agent reasoning for embodied robots using reinforcement learning to balance computation and action execution.

Ax Guangzhi Xiong, Sanchit Sinha, Zhenghao He, Aidong Zhang 3/18/2026

Retrieving Counterfactuals Improves Visual In-Context Learning

In-context learning improvement for vision-language models using retrieved counterfactuals for better visual reasoning.

Ax D. Darankoum, C. Habermacher, J. Volle, S. Grudinin 3/18/2026

SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding

SpecMoE mixture-of-experts foundation model for cross-species EEG decoding with spectral-temporal fusion.

Ax Jay Chooi, Paul G\"olz, Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang 3/18/2026

Finding Common Ground in a Sea of Alternatives

Formal model for selecting statements that find common ground across diverse preferences using generative AI.

Ax Victoria Graf, Valentina Pyatkin, Nouha Dziri, Nathan Lambert, Hannaneh Hajishirzi 3/18/2026

TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities

TurnWiseEval benchmark and analysis of multi-turn vs single-turn LLM capabilities with step-level evaluation.

Ax Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Shawn Guo, Haowen Wang, Weicheng Gu, Yaxin Du, Joseph Li, Fanglin Xu, Yizhi Li, Lin Jing, Yuanbo Wang, Yuhan Gao, Ruihao Gong, Chuan Hao, Ran Tao, Aishan Liu, Tuney Zheng, Ganqu Cui, Zhoujun Li, Mingjie Tang, Chenghua Lin, Wayne Xin Zhao, Xianglong Liu, Ming Zhou, Bryan Dai, Weifeng Lv 3/18/2026

InCoder-32B: Code Foundation Model for Industrial Scenarios

InCoder-32B, a 32B code foundation model optimized for industrial programming tasks with hardware semantics and resource constraints.

Ax Yuliang Wu, Yanhan Lin, WengKit Lao, Yuhao Lin, Yi-Lin Wei, Wei-Shi Zheng, Ancong Wu 3/18/2026

DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping

Cross-embodiment dexterous grasping policy enabling zero-shot transfer across different robot hand morphologies without retraining.

Ax Yishuai Cai, Xinglin Chen, Yunxin Mao, Kun Hu, Minglong Li, Yaodong Yang, Yuanpei Chen 3/18/2026

CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation

Behavior tree planning for robot manipulation using context-aware grounding to automate controller design without extensive manual effort.

Ax Ruisi Wang, Zhongang Cai, Fanyi Pu, Junxiang Xu, Wanqi Yin, Maijunxian Wang, Ran Ji, Chenyang Gu, Bo Li, Ziqi Huang, Hokin Deng, Dahua Lin, Ziwei Liu, Lei Yang 3/18/2026

Demystifing Video Reasoning

Study examining reasoning mechanisms in diffusion-based video models, challenging chain-of-frames assumptions about how reasoning emerges.

Ax Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, Peifeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty 3/18/2026

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems

Comprehensive survey of LLM reasoning covering inference scaling, learning to reason, and agentic systems as key advancement areas.

Ax Xiao Zhu, Chenmien Tan, Pinzhen Chen, Rico Sennrich, Huiming Wang, Yanlin Zhang, Hanxu Hu 3/18/2026

CHARM: Calibrating Reward Models With Chatbot Arena Scores

CHARM method calibrates reward models using Chatbot Arena scores to mitigate model preference bias and reward hacking in RLHF.

Ax Jieren Deng, Zhizhang Hu, Ziyan He, Aleksandar Cvetkovic, Pak Kiu Chung, Dragomir Yankov, Chiqun Zhang 3/18/2026

IMAIA: Interactive Maps AI Assistant for Travel Planning and Geo-Spatial Intelligence

IMAIA interactive maps assistant enables natural language interaction with vector maps and satellite imagery with geospatial intelligence.

Ax Le Liang, Hao Ye, Yucheng Sheng, Ouya Wang, Jiacheng Wang, Shi Jin, Geoffrey Ye Li 3/18/2026

Large Language Models for Wireless Communications: From Adaptation to Autonomy

Survey of LLM applications in wireless communications covering adaptation, autonomy, and intelligent system design for complex communication networks.

Ax Chenguang Wang, Xiang Yan, Yilong Dai, Ziyi Wang, Susu Xu 3/18/2026

From Image Generation to Infrastructure Design: a Multi-agent Pipeline for Street Design Generation

Multi-agent pipeline for street design generation combining image generation and infrastructure design for urban planning visualization.

Ax Sumanth Varambally, Thomas Voice, Yanchao Sun, Zhifeng Chen, Rose Yu, Ke Ye 3/18/2026

Hilbert: Recursively Building Formal Proofs with Informal Reasoning

Hilbert system combines informal LLM reasoning with formal theorem proving in Lean 4 for verifiable mathematical proofs.

Ax Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long T. Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister 3/18/2026

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

ReasoningBank memory framework enables LLM agents to learn from interaction history and distill generalizable reasoning strategies for continuous tasks.

Ax Sumanth Varambally, Marshall Fisher, Jas Thakker, Yiwei Chen, Zhirui Xia, Yasaman Jafari, Ruijia Niu, Manas Jain, Veeramakali Vignesh Manivannan, Zachary Novack, Luyu Han, Srikar Eranky, Salva R\"uhling Cachay, Taylor Berg-Kirkpatrick, Duncan Watson-Parris, Yi-An Ma, Rose Yu 3/18/2026

Zephyrus: An Agentic Framework for Weather Science

Zephyrus agentic framework combines weather foundation models with LLM reasoning for interactive scientific workflows in meteorology.

Ax Muyu He, Anand Kumar, Tsach Mackey, Meghana Rajeev, James Zou, Nazneen Rajani 3/18/2026

Impatient Users Confuse AI Agents: High-fidelity Simulations of Human Traits for Testing Agents

Study showing AI agents fail under realistic user behavior variations; proposes high-fidelity human trait simulations for robust agent testing.

Ax Kentaro Ueda, Takehiro Takayanagi 3/18/2026

PREFINE: Personalized Story Generation via Simulated User Critics and User-Specific Rubric Generation

PREFINE framework enables personalized story generation using simulated user critics and rubric generation without explicit user feedback.

Ax Dachuan Lin, Guobin Shen, Zihao Yang, Tianrong Liu, Dongcheng Zhao, Yi Zeng 3/18/2026

Efficient LLM Safety Evaluation through Multi-Agent Debate

Multi-agent debate framework using small language models for cost-efficient LLM safety evaluation, with HAJailBench benchmark for jailbreak testing.

Ax Sunghyun Wee, Suyoung Kim, Hyeonjin Kim, Kyomin Hwang, Nojun Kwak 3/18/2026

Alignment-Aware Quantization for LLM Safety

Alignment-Aware Quantization: PTQ method for efficient LLM deployment that preserves behavioral alignment and safety properties, not just minimizing reconstruction error.

Ax Peiran Xu, Sudong Wang, Yao Zhu, Jianing Li, Gege Qi, Yunjian Zhang 3/18/2026

SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition

SpatialBench: benchmark measuring multimodal LLM spatial cognition across hierarchical abilities for real-world physical environment interaction.

Ax Jingtian Yan, Zhifei Li, William Kang, Stephen F. Smith, Jiaoyang Li 3/18/2026

Analyzing Planner Design Trade-offs for MAPF under ADG-based Realistic Execution

Analysis of multi-agent path finding algorithm design trade-offs under realistic robot execution constraints for warehouse and manufacturing applications.

Ax Jiaqi Xu, Cuiling Lan, Xuejin Chen, Yan LU 3/18/2026

Stepwise Think-Critique: A Unified Framework for Robust and Interpretable LLM Reasoning

Stepwise Think-Critique: unified framework integrating reasoning and verification in LLMs for robust, interpretable problem-solving with intertwined evaluation.

Ax Nuoya Xiong, Yuhang Zhou, Hanqing Zeng, Zhaorun Chen, Furong Huang, Shuchao Bi, Lizhu Zhang, Zhuokai Zhao 3/18/2026

Token-Level LLM Collaboration via FusionRoute

FusionRoute: token-level collaboration method enabling multiple specialized LLMs to work together, combining domain expertise efficiency with generalization.

Ax Saeed Khaki, Ashudeep Singh, Nima Safaei, Kamal Ginotra 3/18/2026

VisTIRA: Closing the Image-Text Modality Gap in Visual Math Reasoning via Structured Tool Integration

VisTIRA: tool integration approach addressing modality gap where VLMs underperform on visual math problems compared to text-based versions.

Ax Brian Rabern, Philipp Mondorf, Barbara Plank 3/18/2026

LogicSkills: A Structured Benchmark for Formal Reasoning in Large Language Models

LogicSkills: benchmark isolating three fundamental logical reasoning skills in LLMs: formal symbolization, countermodel construction, and logical inference.

Ax Zirui Li, Xuefeng Bai, Kehai Chen, Yizhi Li, Jian Yang, Chenghua Lin, Min Zhang 3/18/2026

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure

Empirical study of latent chain-of-thought in LLMs using structural causal models to analyze intermediate computation steps beyond correlation-based probes.

Ax Jittarin Jetwiriyanon, Teo Susnjak, Surangika Ranathunga 3/18/2026

Zero-Shot Time Series Foundation Models for Annual Institutional Forecasting Under Data Sparsity

Benchmark comparing zero-shot Time Series Foundation Models against classical methods for annual institutional demand forecasting under data sparsity.

Ax Ruoran Li, Xinghua Zhang, Haiyang Yu, Shitong Duan, Xiang Li, Wenxin Xiang, Chonghua Liao, Xudong Guo, Yongbin Li, Jinli Suo 3/18/2026

MemPO: Self-Memory Policy Optimization for Long-Horizon Agents

MemPO: self-memory policy optimization approach enabling long-horizon agents to proactively manage memory content aligned with task objectives.

Ax Jihoon Jeong 3/18/2026

Model Medicine: A Clinical Framework for Understanding, Diagnosing, and Treating AI Models

Model Medicine: framework for understanding, diagnosing, and treating AI model disorders using biological organism principles as analogy for model analysis.

Ax Chang Liu, Chuqiao Kuang, Tianyi Zhuang, Yuxin Cheng, Huichi Zhou, Xiaoguang Li, Lifeng Shang 3/18/2026

UIS-Digger: Towards Comprehensive Research Agent Systems for Real-world Unindexed Information Seeking

UIS-Digger: LLM-based research agent system for unindexed information seeking, addressing blind spots where vital information isn't captured by search engines.

Ax Linus Folkerts, Will Payne, Simon Inman, Philippos Giavridis, Joe Skinner, Sam Deverett, James Aung, Ekin Zorer, Michael Schmatz, Mahmoud Ghanem, John Wilkinson, Alan Steer, Vy Hong, Jessica Wang 3/18/2026

Measuring AI Agents' Progress on Multi-Step Cyber Attack Scenarios

Evaluation of frontier AI models' autonomous cyber-attack capabilities on multi-step scenarios, tracking capability trends across 18 months of model releases.

Ax Shuzhen Bi, Mengsong Wu, Hao Hao, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, Aimin Zhou 3/18/2026

Automating Skill Acquisition through Large-Scale Mining of Open-Source Agentic Repositories: A Framework for Multi-Agent Procedural Knowledge Extraction

Framework for automated skill acquisition in modular AI agents through mining open-source repositories to extract procedural knowledge and specialized expertise.

Ax Vishnu Narayanan Anilkumar, Abhijith Sreesylesh Babu, Trieu Hai Vo, Mohankrishna Kolla, Alexander Cuneo 3/18/2026

Relationship-Aware Safety Unlearning for Multimodal LLMs

Framework for unlearning relational safety failures in multimodal LLMs where combinations of benign concepts become unsafe when linked by specific relations.