Ax Bing Wang, Rui Miao, Chen Shen, Shaotian Yan, Kaiyuan Liu, Ximing Li, Xiaosong Yuan, Sinan Fan, Jun Zhang, Jieping Ye 24d ago

On the Step Length Confounding in LLM Reasoning Data Selection

Analysis of step length confounding bias in LLM reasoning dataset selection pipelines used for fine-tuning complex reasoning models on chain-of-thought tasks.

Ax Yijie Zhong, Yunfan Gao, Haofen Wang 24d ago

HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues

Memory architecture for long-term dialogue systems using boundary-guided event segmentation and query-adaptive retrieval to improve scalability and personalization.

Ax Xiaotian Luo, Xun Jiang, Jiangcheng Wu 24d ago

MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors

Benchmark for evaluating LLM diagnostic robustness in medical dialogue with adversarial patient behaviors at varying severity levels and cross-dimension interactions.

Ax Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng 24d ago

Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings

Large-scale study examining bias in skin-toned emoji representations across LLMs and embedding models, addressing societal bias perpetuation in AI systems.

Ax Miguel A. DelaCruz, Patricia Mae Santos, Rafael T. Navarro 24d ago

Physical Adversarial Attacks on AI Surveillance Systems:Detection, Tracking, and Visible--Infrared Evasion

Research on physical adversarial attacks against surveillance systems including person detection, multi-object tracking, and visible-infrared evasion techniques.

Ax Bajian Xiang, Tingwei Guo, Xuan Chen, Yang Han 24d ago

Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models

Research on redundancy in Large Speech Language Models reveals structured token-level redundancy to reduce inference costs while maintaining semantic fidelity.

Ax Nikolaos D. Tantaroudas, Ilias Karachalios, Andrew J. McCracken 24d ago

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training

SentinelSphere combines ML-based threat detection with LLM-powered security training to address cybersecurity skill gaps and human vulnerabilities.

Ax N. D. Tantaroudas, A. J. McCracken, I. Karachalios, E. Papatheou, V. Pastrikakis 24d ago

XR-CareerAssist: An Immersive Platform for Personalised Career Guidance Leveraging Extended Reality and Multimodal AI

Extended reality platform combining XR and multimodal AI for personalized career guidance and coaching.

Ax Rudra Jadhav, Janhavi Danve 24d ago

The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Era

Benchmark measuring occupational skill susceptibility to LLM automation across 263 tasks and 35 O*NET skill categories.

Ax Yuheng Shi, Xiaohuan Pei, Linfeng Wen, Minjing Dong, Chang Xu 24d ago

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models

Query-aware adaptive perception method for reducing tokens in multimodal LLM inference while maintaining fine-grained understanding.

Ax Yitong Li, Junsong Chen, Shuchen Xue, Pengcuo Zeren, Siyuan Fu, Dinghao Yang, Yangyang Tang, Junjie Bai, Ping Luo, Song Han, Enze Xie 24d ago

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling

Efficient scaling method for diffusion model reinforcement learning using mixed precision and selective rollout quantization.

Ax Milad Moradi, Ke Yan, David Colwell, Matthias Samwald, Rhona Asgari 24d ago

Multi-modal user interface control detection using cross-attention

Multi-modal UI control detection combining YOLO vision with GPT-generated text descriptions via cross-attention.

Ax Andoni Irazusta Garmendia 24d ago

A First Guess is Rarely the Final Answer: Learning to Search in the Travelling Salesperson Problem

Neural improvement method learning local search policies for TSP, generalizing beyond single-solution outputs.

Ax Milad Moradi, Ke Yan, David Colwell, Rhona Asgari 24d ago

An empirical study of LoRA-based fine-tuning of large language models for automated test case generation

Empirical study of LoRA fine-tuning LLMs for automated test case generation from natural language requirements.

Ax Ioannis Kyprakis, Vasileios Skaramagkas, Georgia Karanasiou, Lampros Lakkas, Andri Papakonstantinou, Domen Ribnikar, Kalliopi Keramida, Dorothea Tsekoura, Ketti Mazzocco, Anastasia Constantinidou, Konstantinos Marias, Dimitrios I. Fotiadis, Manolis Tsiknakis 24d ago

Frailty Estimation in Elderly Oncology Patients Using Multimodal Wearable Data and Multi-Instance Learning

Multimodal wearable framework for frailty estimation in elderly breast cancer patients.

Ax Renyang Liu, Jiale Li, Jie Zhang, Cong Wu, Xiaojun Jia, Shuxin Li, Wei Zhou, Kwok-Yan Lam, See-kiong Ng 24d ago

CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models

Adversarial patch attacks on palmprint recognition systems in physical settings.

Ax Jaeyoung Chung, Hyunjin Son, Kyoung Mu Lee 24d ago

Generative Phomosaic with Structure-Aligned and Personalized Diffusion

Generative approach to photomosaic creation using diffusion models with structure alignment.

Ax Ioannis Kyprakis, Vasileios Skaramagkas, Georgia Karanasiou, Vasilis Bouratzis, Andri Papakonstantinou, Dimitar Stefanovski, Kalliopi Keramida, Aristofania Simatou, Ketti Mazzocco, Anastasia Constantinidou, Konstantinos Marias, Dimitrios I. Fotiadis, Manolis Tsiknakis 24d ago

Stress Estimation in Elderly Oncology Patients Using Visual Wearable Representations and Multi-Instance Learning

Machine learning approach for stress estimation in elderly cancer patients using multimodal wearable sensor data.

Ax Jos\'e Pombal, Ricardo Rei, Andr\'e F. T. Martins 24d ago

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models

Study of self-preference bias in LLM-as-judge evaluation, showing models favor outputs from themselves or related models.

Ax Anbang Ruan, Xing Zhang 24d ago

AgentCity: Constitutional Governance for Autonomous Agent Economies via Separation of Power

Framework for governing autonomous AI agent economies through constitutional separation of powers architecture.

Ax Philipp D. Siedler 24d ago

Strategic Persuasion with Trait-Conditioned Multi-Agent Systems for Iterative Legal Argumentation

Multi-agent LLM simulation framework for legal argumentation with trait-conditioned agents in adversarial game-theoretic setting.

Ax Mehdi Hosseinzadeh, King Hang Wong, Feras Dayoub 24d ago

KITE: Keyframe-Indexed Tokenized Evidence for VLM-Based Robot Failure Analysis

Training-free method using vision-language models to analyze robot execution failures via keyframe tokenization.

Ax Xue Qin, Simin Luan, Cong Yang, Zhijun Li 24d ago

AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules

Single-agent robotic architecture with modular capabilities for unified intelligence organization and execution control.

Ax Minh Tam Pham, Trinh Pham, Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen 24d ago

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views

Agentic approach using LLM agents to decompose complex text-to-SQL queries into simpler steps for multi-table reasoning.

Ax Davood Soleymanzadeh, Xiao Liang, Minghui Zheng 24d ago

Flow Motion Policy: Manipulator Motion Planning with Flow Matching Models

Neural motion planning for robotic manipulators using flow matching models for open-loop trajectory generation.

Ax Hongru Ji, Yuyin Fan, Meng Zhao, Xianghua Li, Lianwei Wu, Chao Gao 24d ago

STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue Systems

Framework for empathetic dialogue systems using strategy-aware multi-stage reasoning and LLM-based response generation.

Ax Qizhou Wang, Guansong Pang, Christopher Leckie 24d ago

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation

Dataset for detecting and localizing AI-generated forgeries in surveillance imagery to address deepfake risks.

Ax Yongchao Wu, Aron Henriksson 24d ago

The Impact of Steering Large Language Models with Persona Vectors in Educational Applications

Study on persona vector steering for personalizing LLM outputs in educational settings; shows reduced answer quality on open-ended tasks.

Ax Radu Negulescu 24d ago

Information as Structural Alignment: A Dynamical Theory of Continual Learning

Informational Buildup Framework addressing catastrophic forgetting in continual learning through alternative parameter storage mechanisms.

Ax Parampuneet Kaur Thind, Charles Mwangi, Giovanni Varetto, Lorenzo Sarti, Andrea Papa, Andrea Taramelli 24d ago

Assessing the Added Value of Onboard Earth Observation Processing with the IRIDE HEO Service Segment

Analysis of onboard Earth observation processing for satellite imagery with reduced latency and bandwidth constraints.

Ax Haichang Li, Qinshi Zhang, Piaohong Wang, Zhicong Lu 24d ago

Mixed-Initiative Context: Structuring and Managing Context for Human-AI Collaboration

Framework for dynamically organizing and managing context in multi-turn human-AI collaboration workflows with hierarchical structure awareness.

Ax Diyi Liu, Zihan Niu, Tu Xu, Lishan Sun 24d ago

Self-Discovered Intention-aware Transformer for Multi-modal Vehicle Trajectory Prediction

Transformer-based network for vehicle trajectory prediction in autonomous driving using multi-modal data without explicit graph structures.

Ax Carlos Caetano, Camila Laranjeira, Clara Ernesto, Artur Barros, Jo\~ao Macedo, Leo S. F. Ribeiro, Jefersson A. dos Santos, Sandra Avila 24d ago

CSA-Graphs: A Privacy-Preserving Structural Dataset for Child Sexual Abuse Research

Privacy-preserving structural dataset of child sexual abuse imagery as graphs for computer vision research.

Ax Qichen Wang, Keyu Li, Ozan Alp Topal, \"Ozlem Tugfe Demir, Mustafa Ozger, Cicek Cavdar 24d ago

Energy Saving for Cell-Free Massive MIMO Networks: A Multi-Agent Deep Reinforcement Learning Approach

Multi-agent deep reinforcement learning algorithm for energy optimization in cell-free massive MIMO networks.

Ax Ryan Lingo, Rajeev Chhajer 24d ago

Dynamic Context Evolution for Scalable Synthetic Data Generation

Framework addressing cross-batch mode collapse in LLM synthetic data generation through Dynamic Context Evolution.

Ax Sonja Adomeit, Kartikay Tehlan, Lukas F\"orner, Katharina Weisser, Helen Scholtiseek, David Kaufmann, Julie Steinestel, Constantin Lapa, Thomas Kr\"oncke, Thomas Wendler 24d ago

Bridging MRI and PET physiology: Untangling complementarity through orthogonal representations

Subspace decomposition framework for multimodal MRI and PET imaging fusion with orthogonal representation separation.

Ax Kartikay Tehlan, Lukas F\"orner, Nico Schmutzenhofer, Michael Fr\"uhwald, Matthias Wagner, Nassir Navab, Thomas Wendler 24d ago

Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis

Geometric framework for longitudinal MRI analysis using energy-based implicit neural representations.

Ax Rafi Ahamed, Sidratul Moon Nafsin, Md Abir Rahman, Tasnia Tarannum Roza, Munaia Jannat Easha, Abu Raihan 24d ago

TeaLeafVision: An Explainable and Robust Deep Learning Framework for Tea Leaf Disease Classification

Deep learning framework for tea leaf disease classification using CNN models.

Ax Nathan Lambert, Florian Brand 24d ago

The ATOM Report: Measuring the Open Language Model Ecosystem

Comprehensive ecosystem analysis of ~1.5K open language models, documenting adoption trends and builders of leading models.

Ax Yushi Hirose, Akito Narahara, Takafumi Kanamori 24d ago

Mixture Proportion Estimation and Weakly-supervised Kernel Test for Conditional Independence

Statistical method for mixture proportion estimation and conditional independence testing in weakly supervised learning.

Ax Yen-Shan Chen, Sian-Yao Huang, Cheng-Lin Yang, Yun-Nung Chen 24d ago

TraceSafe: A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories

Benchmark assessing safety guardrails for LLMs in multi-step tool-calling agent trajectories, introducing TraceSafe-Bench.

Ax Kirill Brilliantov, Etienne Bamas, Emmanuel Abb\'e 24d ago

$k$-server-bench: Automating Potential Discovery for the $k$-Server Conjecture

Automated discovery benchmark for mathematical problems based on the k-server conjecture using code-based challenge.

Ax Hamayoon Behmanush, Freshta Akhtari, Ingmar Weber, Vikram Kamath Cannanure 24d ago

Designing Safe and Accountable GenAI as a Learning Companion with Women Banned from Formal Education

Research on designing safe and accountable generative AI as learning companion for women in surveillance-restricted contexts.

Ax Yuanhang Li 24d ago

Validated Intent Compilation for Constrained Routing in LEO Mega-Constellations

System translating natural language operator intents into routing constraints for LEO satellite networks using GNN and LLM components.

Ax Nusrat Sultana, Abdullah Muhammad Moosa, Kazi Afzalur Rahman, Sajal Chandra Banik 24d 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 24d 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 24d 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 24d 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 24d 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 24d 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.