Papers
Research papers from arXiv and related sources
Dual Prompt-Driven Feature Encoding for Nighttime UAV Tracking
Robust feature encoding constitutes the foundation of UAV tracking by enabling the nuanced perception of target appearance and motion, thereby playing a pivotal role in ensuring reliable tracking. ...
Yiheng Wang, Changhong Fu, Liangliang Yao, Haobo Zuo, Zijie Zhang
A Concept of Next-Generation Atmospheric Cherenkov Telescope Array (NG-ACTA)
The Next-Generation Atmospheric Cherenkov Telescope Array (NG-ACTA) is proposed as a prospective infrastructure for very high energy (VHE) gamma-ray astronomy, consisting of a mixed-aperture array ...
Jiancheng Wang, Jirong Mao
Blow-up of solutions to the Euler-Poisson-Darbox equation with critical power nonlinearity
In our recent precious work, we established the finite time blow up result and upper bound of lifespan estimate to the singular Cauchy problem of semilinear Euler-Poisson-Darboux equation in R^n wi...
Mengting Fan, Ning-An Lai, Hiroyuki Takamura
Universal method for optimized robustness in self-testing of quantum resources
Self-testing is a phenomenon where the use of specific quantum states or measurements can be inferred solely from the correlations they generate. We introduce a universal method for conducting robu...
Shin-Liang Chen, Nikolai Miklin
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
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
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
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
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
A Lanczos-based algorithm for sum-over-states calculations of NMR spin--spin coupling constants at the RPA level of theory: The Fermi-contact term
The analysis of nuclear magnetic resonance parameters, such as the indirect nuclear spin-spin coupling constants, in terms of contributions from localised molecular orbitals is a commonly used appr...
Sarah L. V. Zahn, Luna Zamok, Sonia Coriani, Stephan P. A. Sauer
Narrative Aligned Long Form Video Question Answering
Recent progress in multimodal large language models (MLLMs) has led to a surge of benchmarks for long-video reasoning. However, most existing benchmarks rely on localized cues and fail to capture n...
Rahul Jain, Keval Doshi, Burak Uzkent, Garin Kessler
Listen First, Then Answer: Timestamp-Grounded Speech Reasoning
Large audio-language models (LALMs) can generate reasoning chains for their predictions, but it remains unclear whether these reasoning chains remain grounded in the input audio. In this paper, we ...
Jihoon Jeong, Pooneh Mousavi, Mirco Ravanelli, Cem Subakan
ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models
Effective collaboration begins with knowing when to ask for help. For example, when trying to identify an occluded object, a human would ask someone to remove the obstruction. Can MLLMs exhibit a s...
Thomas De Min, Subhankar Roy, Stéphane Lathuilière, Elisa Ricci, Massimiliano Mancini
Computer-Orchestrated Design of Algorithms: From Join Specification to Implementation
Equipping query processing systems with provable theoretical guarantees has been a central focus at the intersection of database theory and systems in recent years. However, the divergence between ...
Zeyuan Hu
Is Evaluation Awareness Just Format Sensitivity? Limitations of Probe-Based Evidence under Controlled Prompt Structure
Prior work uses linear probes on benchmark prompts as evidence of evaluation awareness in large language models. Because evaluation context is typically entangled with benchmark format and genre, i...
Viliana Devbunova
Investigating In-Context Privacy Learning by Integrating User-Facing Privacy Tools into Conversational Agents
Supporting users in protecting sensitive information when using conversational agents (CAs) is crucial, as users may undervalue privacy protection due to outdated, partial, or inaccurate knowledge ...
Mohammad Hadi Nezhad, Francisco Enrique Vicente Castro, Ivon Arroyo
Ringdown modeling for effective-one-body waveforms in the test-mass limit for eccentric equatorial orbits around a Kerr black hole
We study the plunge and merger of a non-spinning particle falling into a Kerr black hole following an eccentric planar inspiral. The dynamics is driven by an effective-one-body radiation reaction, ...
Simone Albanesi, Sebastiano Bernuzzi, Alessandro Nagar
DePro: Understanding the Role of LLMs in Debugging Competitive Programming Code
Debugging consumes a substantial portion of the software development lifecycle, yet the effectiveness of Large Language Models(LLMs) in this task is not well understood. Competitive programming off...
Nabiha Parvez, Tanvin Sarkar Pallab, Mia Mohammad Imran, Tarannum Shaila Zaman
Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning
Non-pharmaceutical interventions (NPIs), such as diagnostic testing and quarantine, are crucial for controlling infectious disease outbreaks but are often constrained by limited resources, particul...
Xueqiao Peng, Andrew Perrault
Understanding Bell locality tests at colliders
For decades, it has been known that local hidden variable theories cannot be disproved by collider experiments involving decaying particles. However, if these theories satisfy a small set of mild a...
J. A. Aguilar-Saavedra, J. A. Casas, J. M. Moreno