Papers
Research papers from arXiv and related sources
All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolution
Lifelong interactive agents are expected to assist users over months or years, which requires continually writing long term memories while retrieving the right evidence for each new query under fix...
Can Lv, Heng Chang, Yuchen Guo, Shengyu Tao, Shiji Zhou
ARMOR: Adaptive Resilience Against Model Poisoning Attacks in Continual Federated Learning for Mobile Indoor Localization
Indoor localization has become increasingly essential for applications ranging from asset tracking to delivering personalized services. Federated learning (FL) offers a privacy-preserving approach ...
Danish Gufran, Akhil Singampalli, Sudeep Pasricha
Widefield Nanodiamond Quantum Sensing Based on Light-Sheet Microscopy
Nanodiamonds containing nitrogen-vacancy (NV) centers are promising quantum sensors for biological applications thanks to their sub-micron spatial resolution, biocompatibility, and versatile multi-...
Shuo Wang, Ming-Zhong Ai, Jing-Wei Fan, Junchen Ye, Chao Lin, Quan Li, Ren-Bao Liu
SaFRO: Satisfaction-Aware Fusion via Dual-Relative Policy Optimization for Short-Video Search
Multi-Task Fusion plays a pivotal role in industrial short-video search systems by aggregating heterogeneous prediction signals into a unified ranking score. However, existing approaches predominan...
Renzhe Zhou, Songyang Li, Feiran Zhu, Chenglei Dai, Yi Zhang, Yi Wang, Jingwei Zhuo
PowerLens: Taming LLM Agents for Safe and Personalized Mobile Power Management
Battery life remains a critical challenge for mobile devices, yet existing power management mechanisms rely on static rules or coarse-grained heuristics that ignore user activities and personal pre...
Xingyu Feng, Chang Sun, Yuzhu Wang, Zhangbing Zhou, Chengwen Luo, Zhuangzhuang Chen, Xiaomin Ouya...
Skilled AI Agents for Embedded and IoT Systems Development
Large language models (LLMs) and agentic systems have shown promise for automated software development, but applying them to hardware-in-the-loop (HIL) embedded and Internet-of-Things (IoT) systems...
Yiming Li, Yuhan Cheng, Mingchen Ma, Yihang Zou, Ningyuan Yang, Wei Cheng, Hai "Helen" Li, Yiran ...
Multibeam Phased Arrays with Spherical Gold Spatio-temporal Coding for Fading-Resilient and Delay Robust Beam Isolations
Future integrated sensing and communication (ISAC) systems require simultaneous multibeam operation with low-latency hardware and robust isolation under synchronization error and fading. Convention...
Yuan Ma, Mike Ballou, Kyle Richard, Hessam Mahdavifar, Najme Ebrahimi
AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?
Conversational AI systems are increasingly used for personal reflection and emotional disclosure, raising concerns about their effects on vulnerable users. Recent anecdotal reports suggest that pro...
Soorya Ram Shimgekar, Vipin Gunda, Jiwon Kim, Violeta J. Rodriguez, Hari Sundaram, Koustuv Saha
AI as Relational Translator: Rethinking Belonging and Mutual Legibility in Cross-Cultural Contexts
Against rising global loneliness, AI companions promise connection, yet accumulating evidence suggests that, for some users and contexts, intensive companion-style use can correlate with increased ...
Yao Xiao, Rafael A. Calvo
Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination
Adversarial vulnerability in vision and hallucination in large language models are conventionally viewed as separate problems, each addressed with modality-specific patches. This study first reveal...
Dong-Xiao Zhang, Hu Lou, Jun-Jie Zhang, Jun Zhu, Deyu Meng
TextReasoningBench: Does Reasoning Really Improve Text Classification in Large Language Models?
Eliciting explicit, step-by-step reasoning traces from large language models (LLMs) has emerged as a dominant paradigm for enhancing model capabilities. Although such reasoning strategies were orig...
Xinyu Guo, Yazhou Zhang, Jing Qin
SpecZoo: An AI-Powered Platform for Spectral Analysis and Visualization in Science and Education
Astronomical spectra, which encode rich astrophysical and chemical information, are fundamental to understanding celestial objects and universal laws. The advent of large-scale spectroscopic survey...
Yuan-Hao Pu, Guo-Hong Lei, Yang Xu, Xun-Zhou Chen, Hai-Jun Tian
Learning to Bet for Horizon-Aware Anytime-Valid Testing
We develop horizon-aware anytime-valid tests and confidence sequences for bounded means under a strict deadline $N$. Using the betting/e-process framework, we cast horizon-aware betting as a finite...
Ege Onur Taga, Samet Oymak, Shubhanshu Shekhar
Plagiarism or Productivity? Students Moral Disengagement and Behavioral Intentions to Use ChatGPT in Academic Writing
This study examined how moral disengagement influences Filipino college students' intention to use ChatGPT in academic writing. The model tested five mechanisms: moral justification, euphemistic la...
John Paul P. Miranda, Rhiziel P. Manalese, Mark Anthony A. Castro, Renen Paul M. Viado, Vernon Gr...
FDARxBench: Benchmarking Regulatory and Clinical Reasoning on FDA Generic Drug Assessment
We introduce an expert curated, real-world benchmark for evaluating document-grounded question-answering (QA) motivated by generic drug assessment, using the U.S. Food and Drug Administration (FDA)...
Betty Xiong, Jillian Fisher, Benjamin Newman, Meng Hu, Shivangi Gupta, Yejin Choi, Lanyan Fang, R...
Pedestrian Crossing Intent Prediction via Psychological Features and Transformer Fusion
Pedestrian intention prediction needs to be accurate for autonomous vehicles to navigate safely in urban environments. We present a lightweight, socially informed architecture for pedestrian intent...
Sima Ashayer, Hoang H. Nguyen, Yu Liang, Mina Sartipi
EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models
Large Language Models (LLMs) are fluent but prone to hallucinations, producing answers that appear plausible yet are unsupported by available evidence. This failure is especially problematic in hig...
J. Ben Tamo, Yuxing Lu, Benoit L. Marteau, Micky C. Nnamdi, May D. Wang
Depictions of Depression in Generative AI Video Models: A Preliminary Study of OpenAI's Sora 2
Generative video models are increasingly capable of producing complex depictions of mental health experiences, yet little is known about how these systems represent conditions like depression. This...
Matthew Flathers, Griffin Smith, Julian Herpertz, Zhitong Zhou, John Torous
Inducing Sustained Creativity and Diversity in Large Language Models
We address a not-widely-recognized subset of exploratory search, where a user sets out on a typically long "search quest" for the perfect wedding dress, overlooked research topic, killer company id...
Queenie Luo, Gary King, Michael Puett, Michael D. Smith
ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models
Large language models (LLMs) with advanced cognitive capabilities are emerging as agents for various reasoning and planning tasks. Traditional evaluations often focus on specific reasoning or plann...
Tianlong Wang, Pinqiao Wang, Weili Shi, Sheng li