Ax Prince Zizhuang Wang, Shuli Jiang 2d ago

AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks

AgentSocialBench evaluates privacy risks in collaborative multi-agent social networks with persistent LLM agents.

Ax Chao Li, Yuru Wang, Chunyi Zhao 2d ago

Domain-constrained knowledge representation: A modal framework

Modal framework for knowledge representation handling domain-specific concept meaning shifts in knowledge graphs.

Ax Xue Liu, Xin Ma, Yuxin Ma, Yongchang Peng, Duo Wang, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, Xinyu Chen, Tianci He, Jiani Hou, Liang Hu, Ziyun Huang, Yongzhe Hui, Jianpeng Jiao, Chennan Ju, Yingru Kong, Yiran Li, Mengyun Liu, Luyao Ma, Fei Ni, Yiqing Ni, Yueyan Qiu, Yanle Ren, Zilin Shi, Zaiyuan Wang, Wenjie Yue, Shiyu Zhang, Xinyi Zhang, Kaiwen Zhao, Zhenwei Zhu, Shanshan Wu, Qi Zhao, Wenhao Huang 2d ago

Xpertbench: Expert Level Tasks with Rubrics-Based Evaluation

XpertBench evaluates LLM performance on expert-level open-ended tasks with rubrics-based assessment.

Ax Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin Talvitie, Micheal Bowling, Martha White 2d ago

Mitigating Value Hallucination in Dyna Planning via Multistep Predecessor Models

Addresses value hallucination in Dyna reinforcement learning agents through multistep predecessor models.

Ax Sibo Wang, Xiangkui Cao, Jie Zhang, Zheng Yuan, Shiguang Shan, Xilin Chen, Wen Gao 2d ago

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

VLBiasBench evaluates biases in large vision-language models across diverse domains and question formats.

Ax D. Denipitiyage, B. Silva, K. Gunathilaka, S. Seneviratne, A. Mahanti, A. Seneviratne, S. Chawla 2d ago

Detecting and Characterising Mobile App Metamorphosis in Google Play Store

Study of app metamorphosis phenomenon where mobile apps undergo significant market repositioning.

Ax Lionel Z. Wang, Ka Chung Ng, Yiming Ma, Wenqi Fan 2d ago

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models

MegaFake dataset of LLM-generated fake news for understanding mechanisms behind AI-generated misinformation.

Ax Lechen Zhang, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens 2d ago

SPRIG: Improving Large Language Model Performance by System Prompt Optimization

SPRIG optimizes system prompts for LLMs using genetic algorithms to improve general task performance.

Ax Qintong Zhang, Bin Wang, Victor Shea-Jay Huang, Junyuan Zhang, Zhengren Wang, Hao Liang, Conghui He, Wentao Zhang 2d ago

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction

Comprehensive survey of document parsing techniques for extracting structured information from unstructured documents.

Ax Zhouxing Shi, Haoyu Li, Cho-Jui Hsieh, Huan Zhang 2d ago

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control

Certified Training with Branch-and-Bound for learning verifiably stable neural control systems.

Ax Feijie Wu, Zitao Li, Fei Wei, Yaliang Li, Bolin Ding, Jing Gao 2d ago

Talk to Right Specialists: Iterative Routing in Multi-agent Systems for Question Answering

RIRS framework for multi-agent RAG systems to route complex questions across distributed knowledge bases.

Ax Boran Zhang, Muhan Xu, Zhijun Pan 2d ago

Human-AI Collaborative Game Testing with Vision Language Models

Human-AI collaboration for game testing using vision language models to enhance manual testing efficiency.

Ax Aytijhya Saha, Aaditya Ramdas 2d ago

Post-detection inference for sequential changepoint localization

Framework for statistical inference on detected changepoints in sequential analysis with confidence sets.

Ax Danial Abshari, Meera Sridhar 2d ago

Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques

Review of anomaly detection techniques for cyber-physical systems security in critical infrastructure.

Ax Messi H. J. Lee, Calvin K. Lai 2d ago

Implicit Bias-Like Patterns in Reasoning Models

Reasoning Model Implicit Association Test studies implicit bias-like patterns in LLMs that use step-by-step reasoning.

Ax Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal 2d ago

BalancedDPO: Adaptive Multi-Metric Alignment

BalancedDPO method aligns diffusion models with multiple conflicting evaluation metrics for text-to-image generation.

Ax Yunqi Shi, Chengrui Gao, Wanqi Ren, Peng Xie, Siyuan Xu, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou 2d ago

Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation

Open-source benchmark for 3D chip design using OpenROAD framework, evaluates power, performance, area, and thermal metrics.

Ax Felipe Azua, Leopoldo Bertossi 2d ago

Causality-Based Scores Alignment in Explainable Data Management

Investigates alignment of causal attribution scores (Shapley, Banzhaf, Causal Responsibility) for database tuple relevance in data management.

Ax Tongrui Su, Qingbin Li, Shengyu Zhu, Wei Chen, Xueqi Cheng 2d ago

RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning

RaPA improves transferable targeted adversarial attacks by identifying and pruning redundant surrogate model parameters.

Ax Kejie Zhao, Wenjia Hua, Aiersi Tuerhong, Luziwei Leng, Yuxin Ma, Qinghai Guo 2d ago

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks

Online test-time adaptation method for spiking neural networks via threshold modulation, enabling edge deployment with distribution shift handling.

Ax Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, Yan Zheng, Jianye Hao 2d ago

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

FSD bridges reasoning and decision-making in robotic manipulation by combining Vision-Language Models with action prediction for zero-shot generalization.

Ax Andrew Nam, Declan Campbell, Thomas Griffiths, Jonathan Cohen, Sarah-Jane Leslie 2d ago

Understanding Task Representations in Neural Networks via Bayesian Ablation

Bayesian ablation framework for interpreting latent task representations in neural networks, enabling probabilistic analysis of learned representations.

Ax Bowen Feng, Zhiting Mei, Julian Ost, Filippo Ghilotti, Baiang Li, Roger Girgis, Anirudha Majumdar, Felix Heide 2d ago

VERDI: VLM-Embedded Reasoning for Autonomous Driving

VERDI uses Vision-Language Models embedded in autonomous driving stack for reasoning-based trajectory planning under partial observability.

Ax Gordana Ispirova, Michael Sebek, Giulia Menichetti 2d ago

Informatics for Food Processing

Chapter reviewing ML/AI applications in food processing, covering classification frameworks and data science approaches to food informatics.

Ax Fengqing Jiang, Fengbo Ma, Zhangchen Xu, Yuetai Li, Zixin Rao, Bhaskar Ramasubramanian, Luyao Niu, Bo Li, Xianyan Chen, Zhen Xiang, Radha Poovendran 2d ago

SoSBench: Benchmarking Safety Alignment on Six Scientific Domains

SoSBench evaluates LLM safety alignment across six scientific domains with sophisticated, knowledge-intensive adversarial prompts.

Ax Patrick Vossler, Fan Xia, Yifan Mai, Adarsh Subbaswamy, Jean Feng 2d ago

LLMs Judging LLMs: A Simplex Perspective

Framework for evaluating LLM judges of LLM outputs, accounting for both sampling and judge quality uncertainty without gold-standard scores.

Ax Narmeen Oozeer, Luke Marks, Shreyans Jain, Fazl Barez, Amirali Abdullah 2d ago

Beyond Linear Steering: Unified Multi-Attribute Control for Language Models

K-Steering enables unified multi-attribute control of LLM behavior at inference time using non-linear steering on hidden activations.

Ax Mijeong Kim, Gunhee Kim, Jungyoon Choi, Wonjae Roh, Bohyung Han 2d ago

PhysGaia: A Physics-Aware Benchmark with Multi-Body Interactions for Dynamic Novel View Synthesis

PhysGaia benchmark for dynamic novel view synthesis with physics-aware evaluation of multi-body interactions and realistic collisions.

Ax Shuo Jiang, Min Xie, Jianxi Luo 2d ago

Large Language Models for Combinatorial Optimization of Design Structure Matrix

LLMs applied to combinatorial optimization of Design Structure Matrices in engineering, demonstrating reasoning capabilities for complex system reorganization.

Ax Yuiga Wada, Kazuki Matsuda, Komei Sugiura, Graham Neubig 2d ago

ZINA: Multimodal Fine-grained Hallucination Detection and Editing

ZINA detects and edits fine-grained hallucinations in multimodal LLMs, proposing a novel evaluation task for MLLM quality.

Ax Lujun Li, Yiqun Wang, Radu State 2d ago

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications

Vision Transformer-based framework reconstructs multispectral satellite imagery obscured by clouds using SAR data for crop mapping.

Ax Federico Zucchi, Thomas Lampert 2d ago

PRISM: Lightweight Multivariate Time-Series Classification through Symmetric Multi-Resolution Convolutional Layers

PRISM: lightweight fully convolutional model for multivariate time-series classification on edge devices.

Ax Ugur Cetintemel, Shu Chen, Alexander W. Lee, Deepti Raghavan, Duo Lu, Andrew Crotty 2d ago

Making Prompts First-Class Citizens for Adaptive LLM Pipelines

Framework treating prompts as first-class citizens in LLM pipelines to enable reuse, optimization, and runtime adaptation in complex agent systems.

Ax Dixon Domfeh, Saeid Safarveisi 2d ago

CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market

CATNet applies geometric deep learning (R-GCN) to catastrophe bond spread prediction in financial markets.

Ax Yifu Yuan, Haiqin Cui, Yaoting Huang, Yibin Chen, Fei Ni, Zibin Dong, Pengyi Li, Yan Zheng, Hongyao Tang, Jianye Hao 2d ago

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

Embodied-R1 introduces a 3B VLM using "pointing" as unified intermediate representation to address the seeing-to-doing gap in robotic manipulation across different embodiments.

Ax Wangsong Yin, Daliang Xu, Mengwei Xu, Gang Huang, Xuanzhe Liu 2d ago

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference

ShadowNPU system co-design for efficient on-device LLM inference on NPUs, addressing quantization sensitivity in attention operators.

Ax Phongsakon Mark Konrad, Andrei-Alexandru Popa, Yaser Sabzehmeidani, Liang Zhong, Madhulika Tripathy, Andrei Constantinescu, Elisa A. Liehn, Serkan Ayvaz 2d ago

Challenges in Deep Learning-Based Small Organ Segmentation: A Benchmarking Perspective for Medical Research with Limited Datasets

Benchmarking study of deep learning segmentation models for carotid artery structures in histopathological images with limited datasets.

Ax Tao Long, Xuanming Zhang, Sitong Wang, Zhou Yu, Lydia B Chilton 2d ago

DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow

DoubleAgents system for human-agent alignment in coordination tasks using a coordination agent and dashboard for preference elicitation and feedback.

Ax Miao Jing, Mengting Jia, Junling Lin, Zhongxia Shen, Huan Gao, Mingkun Xu, Shangyang Li 2d ago

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks

Neural-MedBench reasoning-intensive benchmark for evaluating clinical reasoning ability of vision-language models beyond classification accuracy.

Ax Rohit Chowdhury, Aniruddha Bala, Rohan Jaiswal, Siddharth Roheda 2d ago

Vid-Freeze: Protecting Images from Malicious Image-to-Video Generation via Temporal Freezing

Vid-Freeze defense mechanism against malicious image-to-video generation using temporal freezing adversarial techniques.

Ax Zhimeng Luo, Lixin Wu, Adam Frisch, Daqing He 2d ago

Measuring Competency, Not Performance: Item-Aware Evaluation Across Medical Benchmarks

MedIRT psychometric framework for evaluating LLM medical competency rather than benchmark-specific performance using Item Response Theory.

Ax Vincent Grari, Tim Arni, Thibault Laugel, Sylvain Lamprier, James Zou, Marcin Detyniecki 2d ago

ACT: Agentic Classification Tree

ACT system combines decision trees with LLMs to provide transparent, interpretable, and auditable AI decisions on unstructured data.

Ax Zhiping Zhang, Yi Evie Zhang, Freda Shi, Tianshi Li 2d ago

Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents

Study of how autonomy levels in LLM agents affect user privacy concerns and trust, with implications for personalization design.

Ax Haotian Wu, Shufan Jiang, Chios Chen, Yiyang Feng, Hehai Lin, Heqing Zou, Yao Shu, Chengwei Qin 2d ago

FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline

FURINA-Builder multi-agent pipeline for automatically constructing customizable role-playing benchmarks at scale for evaluating LLM agent behavior.

Ax Kazuki Egashira, Robin Staab, Thibaud Gloaguen, Mark Vero, Martin Vechev 2d ago

Fewer Weights, More Problems: A Practical Attack on LLM Pruning

Security analysis of LLM pruning methods showing vulnerabilities in popular inference engines like vLLM when models are pruned before deployment.

Ax Vijay M. Galshetwar, Praful Hambarde, Prashant W. Patil, Akshay Dudhane, Sachin Chaudhary 2d ago

Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation

Survey of image and video restoration techniques for adverse weather conditions in intelligent transportation systems and autonomous driving.

Ax Muhammad Junaid Asif, Abdul Rehman, Asim Mehmood, Rana Fayyaz Ahmad, Shazia Saqib 2d ago

Leveraging Wireless Sensor Networks for Real-Time Monitoring and Control of Industrial Environments

IoT and wireless sensor networks for industrial monitoring and control using NRF transceivers and Arduino microcontrollers.

Ax Shinwoo Park, Hyejin Park, Hyeseon Ahn, Yo-Sub Han 2d ago

A Linguistics-Aware LLM Watermarking via Syntactic Predictability

Watermarking technique for LLMs using syntactic predictability to balance text quality against detection robustness for governance and trustworthiness.

Ax Xingrui Wang, Jiang Liu, Chao Huang, Xiaodong Yu, Ze Wang, Ximeng Sun, Jialian Wu, Alan Yuille, Emad Barsoum, Zicheng Liu 2d ago

XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models

XModBench benchmark measures cross-modal consistency and modality-specific biases in omni-modal large language models across audio, vision, and text.

Ax Gao Yang, Yuhang Liu, Siyu Miao, Xinyue Liang, Zhengyang Liu, Heyan Huang 2d ago

LLMs Judge Themselves: A Game-Theoretic Framework for Human-Aligned Evaluation

Game-theoretic framework for evaluating LLMs on subjective and open-ended tasks beyond fixed-format benchmarks with reference answers.