Ax Fenfen Lin, Yesheng Liu, Haiyu Xu, Chen Yue, Zheqi He, Mingxuan Zhao, Miguel Hu Chen, Jiakang Liu, JG Yao, Xi Yang 3/25/2026

Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench

MeasureBench benchmarks vision-language models on visual measurement reading tasks with real-world and synthesized instrument images.

Ax Alina Fastowski, Bardh Prenkaj, Yuxiao Li, Gjergji Kasneci 3/25/2026

Injecting Falsehoods: Adversarial Man-in-the-Middle Attacks Undermining Factual Recall in LLMs

Xmera framework evaluates adversarial man-in-the-middle attacks on LLM factual recall through prompt injection, measuring vulnerability of question-answering systems.

Ax Zhanheng Nie, Chenghan Fu, Daoze Zhang, Junxian Wu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng 3/25/2026

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding

MOON2.0 addresses multimodal imbalance in MLLMs for e-commerce product understanding through dynamic modality-balanced representation learning.

Ax Jiajun Zhang, Shijia Luo, Ruikang Zhang, Qi Su 3/25/2026

HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation

HumorChain: Theory-guided multi-stage reasoning framework for interpretable multimodal humor generation using LLMs.

Ax Yerim Jeon, Miso Lee, WonJun Moon, Jae-Pil Heo 3/25/2026

Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding

Study on spatial reasoning in LLMs for 3D scene understanding, examining attention masking mechanisms for order-agnostic objects.

Ax Haicheng Liao, Huanming Shen, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu, Zhenning Li 3/25/2026

Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles

ThinkDeeper: Framework for autonomous vehicle grounding using world models for 3D spatial reasoning and scene prediction.

Ax Chenyu Zhang, Lanjun Wang, Yiwen Ma, Wenhui Li, Yi Tu, An-An Liu 3/25/2026

Metaphor-based Jailbreak Attacks on Text-to-Image Models

Research on metaphor-based jailbreak attacks against text-to-image models' safety defense mechanisms.

Ax Yu He, Da Huang, Zhenyang Liu, Zixiao Gu, Qiang Sun, Guangnan Ye, Yanwei Fu, Yu-Gang Jiang 3/25/2026

Schr\"odinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation

Zero-shot object navigation for robots using ensemble prediction of future states in unseen, cluttered environments.

Ax Bhanu Prakash Vangala, Ali Adibifar, Ashish Gehani, Tanu Malik 3/25/2026

AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents

Empirical study examining reproducibility gaps in code generated by LLM coding agents and missing dependency specifications.

Ax Guanyuan Pan, Shuai Wang, Yugui Lin, Tiansheng Zhou, Pietro Li\`o, Zhenxin Zhao, Yaqi Wang 3/25/2026

VLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing

VLM-CAD: Collaborative agent design workflow for analog circuit sizing using vision-language models with spatial reasoning.

Ax Arjun Nichani (Richard), Hsiang Hsu (Richard), Chun-Fu (Richard), Chen, Haewon Jeong 3/25/2026

Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation

Information-theoretic analysis of trade-offs between fairness, privacy, and accuracy in machine learning using Chernoff Information.

Ax Xinlei Yin, Xiulian Peng, Xiao Li, Zhiwei Xiong, Yan Lu 3/25/2026

Hierarchical Long Video Understanding with Audiovisual Entity Cohesion and Agentic Search

HAVEN: Framework for long-video understanding using agentic search and audiovisual entity cohesion to maintain global coherence.

Ax Zhiyu An, Wan Du 3/25/2026

Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer Language Model

Analysis of representational homomorphism in transformers to predict and improve compositional generalization in language models.

Ax Wenxuan Huang, Yu Zeng, Qiuchen Wang, Zhen Fang, Shaosheng Cao, Zheng Chu, Qingyu Yin, Shuang Chen, Zhenfei Yin, Lin Chen, Zehui Chen, Xu Tang, Yao Hu, Shaohui Lin, Philip Torr, Feng Zhao, Wanli Ouyang 3/25/2026

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

Vision-DeepResearch: Framework augmenting multimodal LLMs with tool-calling capabilities for visual and textual search.

Ax Yunwei Bai, Ying Kiat Tan, Yao Shu, Tsuhan Chen 3/25/2026

1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization

1S-DAug: One-shot data augmentation method for improved few-shot learning generalization using generative synthesis.

Ax Xinrong Chen, Xu Chu, Yingmin Qiu, Hengyuan Zhang, Jing Xiong, Shiyu Tang, Shuai Liu, Shaokang Yang, Cheng Yang, Hayden Kwok-Hay So, Ngai Wong 3/25/2026

Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance

Residual Decoding: Training method to reduce hallucinations in vision-language models using history-aware residual guidance.

Ax Hongwei Yan, Guanglong Sun, Kanglei Zhou, Qian Li, Liyuan Wang, Yi Zhong 3/25/2026

FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning

FlyPrompt: Brain-inspired routing method for continual learning from non-stationary data streams without task boundaries.

Ax Zeping Li, Guancheng Wan, Keyang Chen, Yu Chen, Yiwen Zhao, Philip Torr, Guangnan Ye, Zhenfei Yin, Hongfeng Chai 3/25/2026

Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation

Study evaluating behavioral consistency of LLM agents in stock market simulations against real market participant behavior.

Ax Xiaowen Tao, Yinuo Wang, Haitao Ding, Yuanyang Qi, Ziyu Song 3/25/2026

Energy-Aware Reinforcement Learning for Robotic Manipulation of Articulated Components in Infrastructure Operation and Maintenance

Energy-aware reinforcement learning for robotic manipulation of articulated objects in infrastructure maintenance and smart cities.

Ax Songming Zhang, Xue Zhang, Tong Zhang, Bojie Hu, Yufeng Chen, Jinan Xu 3/25/2026

KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models

KDFlow: Framework for efficient knowledge distillation of large language models into smaller models with heterogeneous training backends.

Ax Wenhao Wu, Zhentao Tang, Yafu Li, Shixiong Kai, Mingxuan Yuan, Chunlin Chen, Zhi Wang 3/25/2026

From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG

MA-RAG: Multi-round agentic RAG system for medical reasoning with LLMs, addressing hallucinations and outdated knowledge through iterative refinement.

Ax Kevin Vogt-Lowell, Theodoros Tsiligkaridis, Rodney Lafuente-Mercado, Surabhi Ghatti, Shanghua Gao, Marinka Zitnik, Daniela Rus 3/25/2026

When Sensors Fail: Temporal Sequence Models for Robust PPO under Sensor Drift

Augmenting Proximal Policy Optimization with temporal sequence models for robust reinforcement learning under sensor drift and partial observability.

Ax Amos Goldman (NVIDIA Corporation), Nimrod Boker (NVIDIA Corporation), Maayan Sheraizin (NVIDIA Corporation), Nimrod Admoni (NVIDIA Corporation), Artem Polyakov (NVIDIA Corporation), Subhadeep Bhattacharya (NVIDIA Corporation), Fan Yu (NVIDIA Corporation), Kai Sun (NVIDIA Corporation), Georgios Theodorakis (NVIDIA Corporation), Hsin-Chun Yin (NVIDIA Corporation), Peter-Jan Gootzen (NVIDIA Corporation), Aamir Shafi (NVIDIA Corporation), Assaf Ravid (NVIDIA Corporation), Salvatore Di Girolamo (NVIDIA Corporation), Manjunath Gorentla Venkata (NVIDIA Corporation), Gil Bloch (NVIDIA Corporation) 3/25/2026

NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL

NCCL EP, unified communication API for mixture-of-experts architectures in large language models built on NCCL with GPU-initiated RDMA.

Ax Jingxiao Yang, DaLin He, Miao Pan, Ge Su, Wenqi Zhang, Yifeng Hu, Tangwei Li, Yuke Li, Xuhong Zhang 3/25/2026

SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition

Training-free fine-grained visual recognition using large vision-language models with sample-wise adaptive reasoning for subordinate-level category disambiguation.

Ax Ruixiang Wang, Qingming Liu, Yueci Deng, Guiliang Liu, Zhen Liu, Kui Jia 3/25/2026

EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards

Video world models for robotics using inverse dynamics rewards to align generated trajectories with executable robot actions.

Ax Xuan Liu, Xiaobin Chang 3/25/2026

Elastic Weight Consolidation Done Right for Continual Learning

Systematic analysis of Elastic Weight Consolidation for continual learning showing suboptimal performance and proposing improvements to weight importance estimation.

Ax Ye Kyaw Thu, Thazin Myint Oo, Thepchai Supnithi 3/25/2026

myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition

Benchmark comparing PETNN, KAN, and classical deep learning models on Burmese handwritten digit recognition dataset.

Ax KT Tech innovation Group 3/25/2026

Mi:dm K 2.5 Pro

Mi:dm K 2.5 Pro, 32B parameter enterprise LLM supporting multi-step reasoning, long-context understanding, and agentic workflows in Korean and domain-specific applications.

Ax Marcelo Fernandez (TraslaIA) 3/25/2026

Agent Control Protocol: Admission Control for Agent Actions

Formal specification for admission control governance of autonomous agents in institutional B2B environments with cryptographic validation.

Ax Tianyang Luo, Tao Feng, Zhigang Hua, Yan Xie, Shuang Yang, Ge Liu, Jiaxuan You 3/25/2026

MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels

Graph-based memory system for LLM reward prediction requiring limited labeled data for reinforcement learning post-training.

Ax Richard J. Young 3/25/2026

Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought Evaluation

Research on chain-of-thought faithfulness in LLMs showing measurement methodology significantly affects reported faithfulness scores across 12 open-weight models.

Ax Hengwei Ye, Yuanting Guan, Yuxuan Ge, Tianying Zhu, Zhenhan Guan, Yijia Zhong, Yijing Zhang, Han Zhang, Yingna Wu, Zheng Tian 3/25/2026

Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs

KidGym: 2D grid-based reasoning benchmark evaluating MLLMs on spatial intelligence inspired by Wechsler Intelligence Scales.

Ax Roy Uziel, Omer Belhasin, Itay Levi, Akhiad Bercovich, Ran El-Yaniv, Ran Zilberstein, Michael Elad 3/25/2026

CRoCoDiL: Continuous and Robust Conditioned Diffusion for Language

CRoCoDiL: Continuous semantic space diffusion model for non-autoregressive language generation with improved coherence.

Ax Muhammad Khalid, Yilmaz Uygun 3/25/2026

An Industrial-Scale Retrieval-Augmented Generation Framework for Requirements Engineering: Empirical Evaluation with Automotive Manufacturing Data

Industrial-scale RAG framework evaluated on automotive manufacturing requirements engineering with unstructured heterogeneous documentation.

Ax Dong Liu, Yanxuan Yu, Ben Lengerich, Ying Nian Wu 3/25/2026

MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning

Memory-Keyed Attention: Efficient attention mechanism reducing KV cache memory for long-context LLM inference and training.

Ax Feng Liu, Jian Xu, Xin Cui, Xinghao Wang, Zijie Guo, Jiong Wang, S. Mostafa Mousavi, Xinyu Gu, Hao Chen, Ben Fei, Lihua Fang, Fenghua Ling, Zefeng Li, Lei Bai 3/25/2026

TRACE: A Multi-Agent System for Autonomous Physical Reasoning in Seismological

TRACE: Multi-agent system using autonomous reasoning for seismological analysis of earthquake mechanisms from geophysical observations.

Ax Zhengxian Wu, Kai Shi, Chuanrui Zhang, Zirui Liao, Jun Yang, Ni Yang, Qiuying Peng, Luyuan Zhang, Hangrui Xu, Tianhuang Su, Zhenyu Yang, Haonan Lu, Haoqian Wang 3/25/2026

When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning

Unsupervised self-evolution training framework for multimodal LLMs achieving reasoning improvements without annotated data.

Ax Trung V. Phan, Thomas Bauschert 3/25/2026

DeepXplain: XAI-Guided Autonomous Defense Against Multi-Stage APT Campaigns

DeepXplain: Explainable deep reinforcement learning framework for multi-stage APT cyber defense with provenance graphs.

Ax Shuai Wang, Yinan Yu, Earl Barr, Dhasarathy Parthasarathy 3/25/2026

LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study

Case study on LLM-powered workflow optimization for multidisciplinary software development in automotive industry.

Ax Woosung Koh, Jeyoung Jeon, Youngjin Song, Yujin Cheon, Soowon Oh, Jaehyeong Choi, Se-Young Yun 3/25/2026

mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT

mSFT: Iterative algorithm addressing overfitting in multi-task supervised fine-tuning by heterogeneous data mixture optimization.

Ax Janaka Chathuranga Brahmanage, Akshat Kumar 3/25/2026

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning

arXiv paper on safe offline reinforcement learning with budget constraints. Addresses safety-reward trade-offs in sequential decision making.

Ax Srideepika Jayaraman, Achille Fokoue, Dhaval Patel, Jayant Kalagnanam 3/25/2026

Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks

Research on synthetic data generation using LLMs to improve smaller model fine-tuning. Analyzes diversity and distribution in embedding space.

Ax Zvi N. Badash, Yonatan Belinkov, Moti Freiman 3/25/2026

Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores

Uncertainty estimation method for LLMs using intra-layer local information scores from cross-layer agreement patterns.

Ax Yan Xie, Tiansheng Wen, Tangda Huang, Bo Chen, Chenyu You, Stefanie Jegelka, Yifei Wang 3/25/2026

Scaling Attention via Feature Sparsity

Sparse Feature Attention method reducing transformer self-attention complexity through feature-level sparsity instead of sequence-level sparsity.

Ax Mohamed A. Mabrok 3/25/2026

Latent Semantic Manifolds in Large Language Models

Mathematical framework interpreting LLM hidden states as points on latent semantic manifolds with Riemannian geometry.

Ax Zeyang Ding, Xinglin Hu, Jicong Fan 3/25/2026

Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models

Training-free hallucination detector for LLMs using sample transform cost to measure output distribution complexity.

Ax Wenhao Zhao, Qiran Zou, Zhouhan Lin, Dianbo Liu 3/25/2026

Mitigating Premature Discretization with Progressive Quantization for Robust Vector Tokenization

Progressive Quantization method for robust vector tokenization in multimodal LLMs and diffusion models.

Ax Liyuan Chen, Shilong Li, Jiangpeng Yan, Shuoling Liu, Qiang Yang, Xiu Li 3/25/2026

CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News

Chinese financial news dataset and benchmark for evaluating LLMs as autonomous agents in macro and sector asset allocation.

Ax Haosen Li, Qi Meng, Jiahao Li, Rui Zhang, Ruihua Song, Liang Ma, Zhi-Ming Ma 3/25/2026

UniFluids: Unified Neural Operator Learning with Conditional Flow-matching

UniFluids: conditional flow-matching framework using diffusion Transformers to unify learning solution operators across diverse PDEs.

Ax Haoran Su, Hanxiao Deng, Yandong Sun 3/25/2026

Emergency Preemption Without Online Exploration: A Decision Transformer Approach

Decision Transformer approach for offline emergency vehicle signal preemption optimization without online exploration.