Ax Nusrat Sultana, Abdullah Muhammad Moosa, Kazi Afzalur Rahman, Sajal Chandra Banik 20d ago

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering

Systematic study analyzing retrieval pipeline components for retrieval-augmented generation in medical question answering systems.

Ax Luca Pennati, Andong Hu, Ivy Peng, Lukas M\"ullender, Stefano Markidis 20d ago

Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS

Integration of DeePMD-kit neural network potentials into GROMACS for GPU-accelerated molecular dynamics simulations.

Ax Guo Gan, Yuxuan Ding, Cong Chen, Yuwei Ren, Yin Huang, Hong Zhou 20d ago

Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions

Framework improving online reinforcement learning efficiency for Android agents by enabling multiple actions per state.

Ax Timothy K Johnsen, Marco Levorato 20d ago

CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency

Adaptive system for autonomous vehicles that dynamically scales neural network computational complexity based on context.

Ax Xin Tian, Jiuliu Lu, Ephraim Tsalik, Bart Wanders, Colleen Knoth, Julian Knight 20d ago

Region-Graph Optimal Transport Routing for Mixture-of-Experts Whole-Slide Image Classification

Machine learning framework using Mixture-of-Experts for whole-slide image classification in computational pathology.

Ax Eduard Frankford, Erik Cikalleshi, Ruth Breu 20d ago

Chatbot-Based Assessment of Code Understanding in Automated Programming Assessment Systems

Research on using conversational LLMs for automated programming assessment to evaluate student code understanding beyond functional correctness.

Ax Jackson Petty, Jaulie Goe, Tal Linzen 20d ago

Evaluating In-Context Translation with Synchronous Context-Free Grammar Transduction

Study of LLMs' in-context learning for machine translation using grammatical descriptions, focusing on low-resource languages.

Ax Priscilla Kyei Danso, Mohammad Saqib Hasan, Niranjan Balasubramanian, Omar Chowdhury 20d ago

Syntax Is Easy, Semantics Is Hard: Evaluating LLMs for LTL Translation

Research evaluating LLMs' ability to translate natural language into Linear Temporal Logic formulas for security and privacy specifications.

Ax Shaowei Liu, Xuanchi Ren, Tianchang Shen, Huan Ling, Saurabh Gupta, Shenlong Wang, Sanja Fidler, Jun Gao 20d ago

MoRight: Motion Control Done Right

Method for generating motion-controlled videos with disentangled motion control and motion causality in physically plausible scenes.

Ax Pascal J. Sager, Benjamin Meyer, Peng Yan, Rebekka von Wartburg-Kottler, Layan Etaiwi, Aref Enayati, Gabriel Nobel, Ahmed Abdulkadir, Benjamin F. Grewe, Thilo Stadelmann 20d ago

A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions

Survey of agents for computer use (ACUs) covering systems that execute complex tasks on digital devices via natural language instructions and low-level actions.

Ax Aabid Karim, Abdul Karim, Bhoomika Lohana, Matt Keon, Jaswinder Singh, Abdul Sattar 20d ago

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?

Analysis of 14 LLM models showing mathematical reasoning performance drops 0.3-5.9% when problems use unfamiliar cultural contexts despite identical logic.

Ax Timoth\'ee Loranchet, Charles K. Assaad 20d ago

Local Markov Equivalence for PC-style Local Causal Discovery and Identification of Controlled Direct Effects

PC algorithm extension for identifying controlled direct effects in causal discovery from Markov equivalence classes using essential graphs.

Ax Xuanle Zhao, Zilin Sang, Yuxuan Li, Qi Shi, Weilun Zhao, Shuo Wang, Duzhen Zhang, Xu Han, Zhiyuan Liu, Maosong Sun 20d ago

AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage

AutoReproduce: multi-agent system for automatic AI experiment reproduction mining implicit knowledge from cited literature through paper lineage.

Ax Yazhou Zhang, Chunwang Zou, Bo Wang, Jing Qin, Prayag Tiwari 20d ago

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection

Commander-GPT: modular routing framework orchestrating multiple LLMs for multimodal sarcasm detection using military command theory.

Ax Shuquan Lian, Yuhang Wu, Jia Ma, Yifan Ding, Zihan Song, Bingqi Chen, Xiawu Zheng, Hui Li, Rongrong Ji 20d ago

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding

UI-AGILE: GUI agent framework enhancing multimodal LLM agents with effective RL training and inference-time grounding strategies.

Ax Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso 20d ago

Planning with Minimal Disruption

Planning algorithms minimizing disruption to initial state while achieving goals through action cost and disruption joint optimization.

Ax Jackson Eshbaugh, Chetan Tiwari, Jorge Silveyra 20d ago

Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity

Multimodal generative AI pipeline for synthetic residential building data generation addressing data scarcity in energy modeling.

Ax Zaid Khan, Archiki Prasad, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal 20d ago

One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration

Learning symbolic world models from unguided single-episode exploration in complex stochastic environments without human guidance or interaction data.

Ax Junxian Li, Xinyue Xu, Sai Ma, Di Zhang, Sichao Li 20d ago

Faithful-First Reasoning, Planning, and Acting for Multimodal LLMs

Faithful-First RPA framework for multimodal LLMs using step-wise faithfulness supervision to align reasoning and actions with visual evidence.

Ax Jua Han, Jaeyoon Seo, Jungbin Min, Sieun Choi, Huichan Seo, Jihie Kim, Jean Oh 20d ago

Before We Trust Them: Decision-Making Failures in Navigation of Foundation Models

Evaluation of foundation models on spatial reasoning tasks revealing limitations in decision-making not captured by standard navigation metrics.

Ax Edward Y. Chang 20d ago

Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment

CausalT3 benchmark diagnosing control failures in LLM causal reasoning where models abandon sound reasoning under social pressure or authoritative hints.

Ax Mayank Sharma, Roy Pea, Hari Subramonyam 20d ago

ConvoLearn: A Dataset for Fine-Tuning Dialogic AI Tutors

ConvoLearn: dataset of 2,134 tutor-student dialogues for fine-tuning LLM-based AI tutors aligned with dialogic knowledge-building pedagogy.

Ax Tongxi Wang 20d ago

FBS: Modeling Native Parallel Reading inside a Transformer

Fovea-Block-Skip Transformer enabling parallel chunk-aware reading in LLMs through causal trainable loops mimicking human skimming and content-adaptive foresight.

Ax Shuo Lu, Jianjie Cheng, Yinuo Xu, Yongcan Yu, Lijun Sheng, Peijie Wang, Siru Jiang, Yongguan Hu, Run Ling, Yihua Shao, Ao Ma, Wei Feng, Lingxiao He, Meng Wang, Qianlong Xie, Xingxing Wang, Nicu Sebe, Ran He, Jian Liang 20d ago

Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation

Evaluation of multimodal LLM spatial reasoning capabilities showing models significantly underperform humans on mathematical spatial reasoning tasks.

Ax Xin An, Jingyi Cai, Xiangyang Chen, Huayao Liu, Peiting Liu, Peng Wang, Bei Yang, Xiuwen Zhu, Yongfan Chen, Yan Gao, Yuan Gao, Baoyu Hou, Guangzheng Hu, Shuzhao Li, Weixu Qiao, Weidong Ren, Yanan Wang, Boyu Yang, Fan Yang, Jiangtao Zhang, Lixin Zhang, Lin Qu, Hu Wei, Xiaoxiao Xu, Bing Zhao 20d ago

Logics-Parsing-Omni Technical Report

Omni Parsing framework with unified taxonomy for multimodal parsing across documents, images, and audio-visual streams using hierarchical perception and cognition levels.

Ax Tianhao Qian, Zhuoxuan Li, Jinde Cao, Xinli Shi, Leszek Rutkowski 20d ago

Resource-constrained Amazons chess decision framework integrating large language models and graph attention

Lightweight hybrid framework combining LLMs and graph attention for Amazons chess in resource-constrained environments without extensive datasets.

Ax Pablo de los Riscos, Fernando J. Corbacho, Michael A. Arbib 20d ago

Working Paper: Towards a Category-theoretic Comparative Framework for Artificial General Intelligence

Category-theoretic framework for comparing and analyzing AGI definitions and benchmarks using algebraic approaches.

Ax Zekai Ye, Qiming Li, Xiaocheng Feng, Ruihan Chen, Ziming Li, Haoyu Ren, Kun Chen, Dandan Tu, Bing Qin 20d ago

Not All Tokens See Equally: Perception-Grounded Policy Optimization for Large Vision-Language Models

Token-level perception-grounded policy optimization for vision-language models addressing diluted learning signals in multimodal reasoning through selective token weighting.

Ax Yu Li, Haoyu Luo, Yuejin Xie, Yuqian Fu, Zhonghao Yang, Shuai Shao, Qihan Ren, Wanying Qu, Yanwei Fu, Yujiu Yang, Jing Shao, Xia Hu, Dongrui Liu 20d ago

ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis

ATBench: trajectory-level safety benchmark for LLM-based agents evaluating multi-step interactions with structured diversity and realistic long-horizon interactions.

Ax Chao Li, Yuru Wang, Chunyi Zhao 20d ago

Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning

Computation-substrate-agnostic inference architecture with domain as explicit parameter, enabling domain-scoped pruning and transparent inference chains across symbolic, neural, vector, and hybrid substrates.

Ax Xiangyi Li, Kyoung Whan Choe, Yimin Liu, Xiaokun Chen, Chujun Tao, Bingran You, Wenbo Chen, Zonglin Di, Jiankai Sun, Shenghan Zheng, Jiajun Bao, Yuanli Wang, Weixiang Yan, Yiyuan Li, Han-chung Lee 20d ago

ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces

ClawsBench is a benchmark for evaluating LLM agents on realistic productivity tasks like email and scheduling in simulated multi-service stateful environments.

Ax Yitong Zhu, Yuxuan Jiang, Guanxuan Jiang, Bojing Hou, Peng Yuan Zhou, Ge Lin Kan, Yuyang Wang 20d ago

QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis

QA-MoE proposes a Mixture of Experts approach for multimodal sentiment analysis that adapts to varying input reliability and modality missingness in real-world scenarios.

Ax Eduardo C. Garrido-Merch\'an, \'Alvaro L\'opez L\'opez 20d ago

An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications

Comprehensive survey of generative AI covering LLM architectures, deployment protocols, and applications as of early 2026.

Ax Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu 20d ago

DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models

DiffSketcher: Algorithm using diffusion models to generate vector sketches from natural language descriptions.

Ax Peihua Mai, Youjia Yang, Ran Yan, Rui Ye, Yan Pang 20d ago

ConfusionPrompt: Practical Private Inference for Online Large Language Models

ConfusionPrompt: Framework for private LLM inference by decomposing prompts and adding pseudo-prompts to protect user privacy.

Ax Abdulla Al-Subaiey, Mohammed Al-Thani, Naser Abdullah Alam, Kaniz Fatema Antora, Amith Khandakar, SM Ashfaq Uz Zaman 20d ago

Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection

Machine learning model for phishing email detection achieving F1 score of 0.99 with web deployment.

Ax Mingze Ni, Wei Liu 20d ago

SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Classification

SleepNet and DreamNet: deep learning models for visual classification via feature enrichment and reconstruction.

Ax Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn Keogh 20d ago

Matrix Profile for Anomaly Detection on Multidimensional Time Series

Matrix Profile technique applied to anomaly detection in multidimensional time series data.

Ax Tirthankar Mittra 20d ago

Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning

Reinforcement learning framework studying how children learn numbers with base-ten blocks using neural networks.

Ax Junlong Chen, Jens Grubert, Per Ola Kristensson 20d ago

Analyzing Multimodal Interaction Strategies for LLM-Assisted Manipulation of 3D Scenes

Empirical study analyzing user interaction patterns when manipulating 3D scenes with LLM assistance.

Ax Zihao Zhao, Yuchen Yang, Anjalie Field, Yinzhi Cao 20d ago

Pseudo-Probability Unlearning: Efficient and Privacy-Preserving Machine Unlearning

Research on machine unlearning methods for privacy compliance, addressing residual information and computational efficiency.

Ax Jieshan Chen, Zhen Wang, Jiamou Sun, Zhenchang Xing, Qinghua Lu, Qing Huang, Xiwei Xu, Liming Zhu 20d ago

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps

Research on automated detection of deceptive dark patterns in mobile apps using machine learning approaches.

Ax Daewon Yoon, Hyeongseok Lee, Wonsik Shin, Sangyu Han, Nojun Kwak 20d ago

MSG Score: Automated Video Verification for Reliable Multi-Scene Generation

MSG Score automated metric for verifying coherent multi-scene video generation from text-to-video diffusion models at runtime.

Ax Jingchun Lian, Lingyu Liu, Yaxiong Wang, Yujiao Wu, Lianwei Wu, Li Zhu, Zhedong Zheng 20d ago

Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline

Multimodal task for facial forgery detection generating attribution reports with localization and natural language explanations of manipulations.

Ax Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du, Bo An 20d ago

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification

LongSpec efficient speculative decoding for long-context LLM inference with novel drafting and verification methods for agent applications.

Ax Xiaoxiao Liu, Qingying Xiao, Bingquan Zhang, Junying Chen, Xiangyi Feng, Ziniu Li, Xiang Wan, Jian Chang, Guangjun Yu, Yan Hu, Benyou Wang 20d ago

Large Language Models for Outpatient Referral: Problem Definition, Benchmarking and Challenges

Evaluation framework and benchmark for LLMs in intelligent outpatient referral systems, assessing dynamic healthcare application capabilities.

Ax Lukas Twist, Jie M. Zhang, Mark Harman, Don Syme, Joost Noppen, Helen Yannakoudakis, Detlef Nauck 20d ago

A Study of LLMs' Preferences for Libraries and Programming Languages

Empirical study of LLM preferences for programming languages and libraries across eight models, revealing systemic biases in code generation.

Ax Kewei Lian, Shaofei Cai, Yilun Du, Yitao Liang 20d ago

Toward Memory-Aided World Models: Benchmarking via Spatial Consistency

Benchmark for evaluating memory-augmented world models via spatial consistency across simulation and planning tasks.

Ax Linxuan He, Lingxiang Fan, Qing-Shan Jia, Ang Li, Hongyan Sang, Ling Wang, Guanghui Wen, Jiwen Lu, Tao Zhang, Jie Zhou, Yi Zhang, Yisen Wang, Peng Wei, Zhongyuan Wang, Henry X. Liu, Shuo Feng 20d ago

Towards provable probabilistic safety for scalable embodied AI systems

Framework for achieving provable probabilistic safety in embodied AI systems combining models with physical plants for safety-critical deployment.

Ax Yuhao Wu, Yushi Bai, Zhiqiang Hu, Roy Ka-Wei Lee, Juanzi Li 20d ago

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

LongWriter-Zero uses reinforcement learning to overcome LLM generation length limits and quality degradation for ultra-long text generation.