Ax Hefei Xu, Le Wu, Yu Wang, Min Hou, Han Wu, Zhen Zhang, Meng Wang 3/20/2026

VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models

VC-Soup: Method for aligning LLMs with multiple conflicting human values using value-consistency guidance for trustworthy AI development.

Ax Jing Wang, Jie Shen, Amar Sra, Qiaomin Xie, Jeremy C Weiss 3/20/2026

LLM-Augmented Computational Phenotyping of Long Covid

Grace Cycle: LLM-augmented computational phenotyping framework for discovering clinical subtypes in Long COVID through iterative hypothesis generation and evidence extraction.

Ax Jianwei Zhang 3/20/2026

Intellectual Stewardship: Re-adapting Human Minds for Creative Knowledge Work in the Age of AI

Conceptual framework proposing intellectual stewardship for how humans should adapt their roles in creative knowledge work alongside AI systems.

Ax Yuhao Dong, Zuyan Liu, Shulin Tian, Yongming Rao, Ziwei Liu 3/20/2026

Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models

Insight-V++: Multi-agent visual reasoning framework for MLLMs enabling long-chain reasoning with high-quality training data and optimized pipelines.

Ax Juan P Wachs 3/20/2026

Final Report for the Workshop on Robotics & AI in Medicine

Workshop report on advancing robotics and AI in healthcare, highlighting coordination needs between engineering and clinical priorities for safety and reliability.

Ax Marwa Abdulhai, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Leibo, Max Kleiman-Weiner, Natasha Jaques 3/20/2026

How LLMs Distort Our Written Language

User study demonstrating that extensive LLM use for writing assistance alters voice, tone, and meaning of human text with 70% increase in essay length.

Ax Mohammad Qazim Bhat, Yufan Huang, Niket Agarwal, Hao Wang, Michael Woods, John Kenyon, Tsung-Yi Lin, Xiaodong Yang, Ming-Yu Liu, Kevin Xie 3/20/2026

VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events

Post-training framework adapting vision-language models for safety-critical autonomous driving event detection in dashcam footage through temporal alignment.

Ax Xavier Cadet, Aditya Vikram Singh, Harsh Mamania, Edward Koh, Alex Fitts, Dirk Van Bruggen, Simona Boboila, Peter Chin, Alina Oprea 3/20/2026

Retrieval-Augmented LLMs for Security Incident Analysis

RAG-based system using LLMs for automated cybersecurity incident analysis through targeted log filtering across multiple data sources.

Ax Wenshuo Wang, Fan Zhang 3/20/2026

Gradient-Informed Temporal Sampling Improves Rollout Accuracy in PDE Surrogate Training

Gradient-informed temporal sampling strategy for training neural PDE surrogates, improving rollout accuracy beyond uniform and augmentation-based sampling.

Ax Philippe Formont, Maxime Darrin, Ismail Ben Ayed, Pablo Piantanida 3/20/2026

MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models

MolRGen benchmark and training framework for evaluating reasoning-based LLMs on de novo molecular generation for drug discovery without ground-truth molecule pairs.

Ax Jiaxin Liu 3/20/2026

Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning

Interventional Boundary Discovery method using causal inference to identify controllable state dimensions in reinforcement learning with confounded distractors.

Ax Haocheng Luo, Zehang Deng, Thanh-Toan Do, Mehrtash Harandi, Dinh Phung, Trung Le 3/20/2026

Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization

Sharpness-aware minimization technique in logit space addressing squeezing effect in Direct Preference Optimization for LLM alignment.

Ax Tamer Shanableh 3/20/2026

LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression

Low-rank convolution optimization for neural video compression (NeRV) reducing computational cost and memory for resource-constrained environments.

Ax Gregory N. Frank 3/20/2026

Detection Is Cheap, Routing Is Learned: Why Refusal-Based Alignment Evaluation Fails

Analysis of LLM alignment through concept routing rather than detection, studying political censorship in Chinese language models across nine open-weight models.

Ax Sara Pohland, Xenofon Foukas, Ganesh Ananthanarayanan, Andrey Kolobov, Sanjeev Mehrotra, Bozidar Radunovic, Ankit Verma 3/20/2026

Offload or Overload: A Platform Measurement Study of Mobile Robotic Manipulation Workloads

Measurement study comparing computational costs of mobile robotic manipulation workloads across onboard, edge, and cloud GPU platforms using foundation models.

Ax Nikhil Gosala, B. Ravi Kiran, Senthil Yogamani, Abhinav Valada 3/20/2026

Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision

Sparse supervised learning framework for monocular 3D object tracking in videos, reducing annotation requirements for autonomous agent perception.

Ax Jasmine Rienecker, Katarina Mpofu, Naman Goel, Siddhartha Datta, Jun Zhao, Oscar Danielsson, Fredrik Thorsen 3/20/2026

Auditing Preferences for Brands and Cultures in LLMs

ChoiceEval framework for auditing brand and cultural preference biases in LLMs used as market intermediaries affecting consumer choices.

Ax Kaiyang Li, Shihao Ji, Zhipeng Cai, Wei Li 3/20/2026

Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning

Neural graph representation method using reinforcement learning to solve approximate subgraph matching, an NP-hard problem in graph analysis.

Ax Zilin Huang, Zihao Sheng, Zhengyang Wan, Yansong Qu, Junwei You, Sicong Jiang, Sikai Chen 3/20/2026

DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving

Reinforcement learning approach combining vision-language models with neuroscience-inspired reward signals for safe autonomous driving without manual reward engineering.

Ax Zichen Xie, Wenxi Wang 3/20/2026

Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought

Evaluation framework (VCoT-Bench) measuring LLM reasoning ability for Rust program verification through intermediate verification steps, not just pass/fail outcomes.

Ax Yanchuan Tang, Taowen Wang, Yuefei Chen, Boxuan Zhang, Qiang Guan, Ruixiang Tang 3/20/2026

Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model

Uncertainty quantification method for Vision-Language-Action robotic models that detects safety-critical moments during continuous control rather than averaging uncertainty signals.

Ax Ruishuo Chen, Yu Chen, Zhuoran Li, Longbo Huang 3/20/2026

PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching

PowerFlow: principled RLIF framework for unsupervised LLM capability elicitation via distribution matching instead of heuristic rewards.

Ax Guangsheng Yu, Qin Wang, Rui Lang, Shuai Su, Xu Wang 3/20/2026

PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents

Privacy-preserving LLM agent planning via abstractions preventing exposure of local environment data to cloud services.

Ax Sam Ganzfried 3/20/2026

Evolutionarily Stable Stackelberg Equilibrium

Game theory: evolutionarily stable Stackelberg equilibrium solution concept with leader-follower dynamics.

Ax Linfeng Zhang, Taoyong Cui, Dongzhan Zhou, Lei Bai, Sufei Zhang, Luca Rossi, Mao Su, Wanli Ouyang, Pheng-Ann Heng 3/20/2026

An SO(3)-equivariant reciprocal-space neural potential for long-range interactions

Neural potential with SO(3) equivariance for molecular systems with long-range electrostatic interactions.

Ax Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao 3/20/2026

TARo: Token-level Adaptive Routing for LLM Test-time Alignment

Token-level Adaptive Routing: inference-time alignment method for freezing LLMs toward structured reasoning without post-training.

Ax Li Wenxiu, Wen Zhanjie, Xia Jiechang, Guo Jingqiao 3/20/2026

The Spillover Effects of Peer AI Rinsing on Corporate Green Innovation

Economics study analyzing spillover effects of AI washing in corporate sustainability claims via semantic analysis.

Ax Arundhathi Dev, Justin Zhan 3/20/2026

Self-Tuning Sparse Attention: Multi-Fidelity Hyperparameter Optimization for Transformer Acceleration

Automated hyperparameter optimization framework for sparse attention mechanisms using Bayesian optimization and multi-fidelity search.

Ax Yang Liu, Jiyao Yang, Hongjin Zhao, Xiaoyong Li, Yanzhe Ji, Xingjian Li, Runmin Jiang, Tianyang Wang, Saeed Anwar, Dongwoo Kim, Yue Yao, Zhenyue Qin, Min Xu 3/20/2026

Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?

Benchmark evaluating large vision-language models on rare skin disease diagnosis with long-context reasoning.

Ax Li Wenxiu, Wen Zhanjie, Xia Jiechang, Guo Jingqiao 3/20/2026

The Impact of Corporate AI Washing on Farmers' Digital Financial Behavior Response -- An Analysis from the Perspective of Digital Financial Exclusion

Economics paper analyzing corporate AI washing claims and impact on farmers' fintech adoption using CHFS data.

Ax Huy Che, Dinh-Duy Phan, Duc-Khai Lam 3/20/2026

R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation

Synthetic data augmentation using generative models for semantic segmentation balancing reliability and diversity.

Ax Asmita Bhardwaj, Yuya Jeremy Ong, Eelaaf Zahid, Basel Shbita 3/20/2026

Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation

RL-based adaptive decoder for LLMs that learns task-specific generation policies at test-time for improved output quality.

Ax Haechan Kim, Soohyun Ryu, Gyouk Chu, Doohyuk Jang, Eunho Yang 3/20/2026

Discounted Beta--Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards

Sample-efficient reinforcement learning with verifiable rewards for improving LLM reasoning with Bayesian reward estimation.

Ax Chuxuan Hu, Philip Li, Maxwell Yang, Daniel Kang 3/20/2026

SODIUM: From Open Web Data to Queryable Databases

Research task: automatically extracting and querying structured databases from open web sources for analytical questions.

Ax Xiangxu Zhang, Xiao Zhou, Hongteng Xu, Jianxun Lian 3/20/2026

HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships

Hypergraph neural network for medication recommendations leveraging patient relationships and clinical history.

Ax Vahid Monfared, Mohammad Hadi Gharib, Ali Sabri, Maryam Shahali, Farid Rashidi, Amit Mehta, Reza Rawassizadeh 3/20/2026

Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images

ML research on prostate cancer detection using Vision Transformers on small 162-image dataset with transfer learning.

Ax Haonan Yu, Junhao Liu, Zhenyu Yan, Haoran Lin, Xin Zhang 3/20/2026

WASD: Locating Critical Neurons as Sufficient Conditions for Explaining and Controlling LLM Behavior

WASD framework identifies critical neurons as sufficient conditions for explaining and controlling LLM behavior with natural language directives.

Ax Ziyi Wang, Qizan Guo, Rishitosh Singh, Xiyang Hu 3/20/2026

Do Vision Language Models Understand Human Engagement in Games?

Evaluation of vision-language models on inferring human engagement from gameplay video across multiple prompting strategies and games.

Ax Mingde Zhou, Zheng Chen, Yulun Zhang 3/20/2026

Efficient Video Diffusion with Sparse Information Transmission for Video Compression

Video compression method using diffusion models with sparse information transmission to improve perceptual quality at ultra-low bitrates.

Ax Teerapong Panboonyuen 3/20/2026

Foundations and Architectures of Artificial Intelligence for Motor Insurance

Handbook formalizing AI architectures for motor insurance, covering perception, multimodal reasoning, and production infrastructure for risk assessment.

Ax Elad Yoshai, Ariel D. Yoshai, Natan T. Shaked 3/20/2026

CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution

CAFlow framework applies adaptive-depth flow matching for efficient histopathology image super-resolution with reduced computational costs.

Ax Liwei Che, Zhiyu Xue, Yihao Quan, Benlin Liu, Zeru Shi, Michelle Hurst, Jacob Feldman, Ruixiang Tang, Ranjay Krishna, Vladimir Pavlovic 3/20/2026

Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models

Mechanistic study of how large vision-language models implement counting behavior, combining synthetic benchmarks with interpretability analysis.

Ax Abhinaba Basu, Pavan Chakraborty 3/20/2026

When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making

ICE-Guard framework detects spurious feature reliance in LLMs for high-stakes decisions through intervention consistency testing on demographic, authority, and framing biases.

Ax Andrew Choi, Xinjie Wang, Zhizhong Su, Wei Xu 3/20/2026

Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds

Method for scaling vision-language-action robot learning using generative 3D worlds to address sim-to-real gap.

Ax Haonan Ping, Jian Jiang, Cheng Yuan, Qizhen Sun, Lv Wu, Yutong Ban 3/20/2026

SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement

SCISSR: Scribble-based interactive framework for surgical scene segmentation using SAM-style prompting.

Ax Xiang Chen, Fangfang Yang, Chunlei Meng, Chengyin Hu, Ang Li, Yiwei Wei, Jiahuan Long, Jiujiang Guo 3/20/2026

CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models

CoDA explores adversarial attacks on medical vision-language models and proposes token-space repair methods.

Ax Dan Ben-Ami, Gabriele Serussi, Kobi Cohen, Chaim Baskin 3/20/2026

HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering

HiMu hierarchical frame selection method for long video question answering with vision-language models.

Ax Hoang T. H. Cao, Hai D. V. Trinh, Tho Quan, Lan V. Truong 3/20/2026

Transformers Learn Robust In-Context Regression under Distributional Uncertainty

Study showing Transformers learn robust in-context regression under distributional uncertainty without restrictive assumptions.

Ax Shenggui Li, Chao Wang, Yikai Zhu, Yubo Wang, Fan Yin, Shuai Shi, Yefei Chen, Xiaomin Dong, Qiaoling Chen, Jin Pan, Ji Li, Laixin Xie, Yineng Zhang, Lei Yu, Yonggang Wen, Ivor Tsang, Tianwei Zhang 3/20/2026

SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding

SpecForge: Open-source production framework for training draft models used in speculative decoding to reduce LLM inference latency.

Ax Abhinaba Basu, Pavan Chakraborty 3/20/2026

ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs

ICE framework evaluates LLM explanation faithfulness using statistical intervention testing with randomization baselines.