Papers
Research papers from arXiv and related sources
SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia
The vision of an inclusive World Wide Web is impeded by a severe linguistic divide, particularly for communities in low-resource regions of Southeast Asia. While large language models (LLMs) offer ...
Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, ...
Modeling the merger-ringdown of an eccentric test-mass inspiral into a Kerr black hole using the effective-one-body framework
We characterize and phenomenologically model the merger-ringdown of gravitational waves emitted by a small compact object that plunges and merges into a Kerr black hole from equatorial-eccentric in...
Guglielmo Faggioli, Alessandra Buonanno, Maarten van de Meent, Gaurav Khanna
DALI: LLM-Agent Enhanced Dual-Stream Adaptive Leadership Identification for Group Recommendations
Group recommendation systems play a pivotal role in supporting collective decisions across various contexts, from leisure activities to organizational team-building. Existing group recommendation a...
Boxun Song, Min Gao, Jiawei Cheng
DSC curve fingerprints directly encode mechanical properties of aluminum alloys
Differential scanning calorimetry (DSC) is a standard tool for studying precipitation and phase transformations in aluminum alloys, yet its relation to mechanical performance has so far remained mo...
Lukas Pichlmann, Samuel Studer, Aurel R. Arnoldt, Paul Oberhauser, Johannes A. Österreicher
Utility-Guided Agent Orchestration for Efficient LLM Tool Use
Tool-using large language model (LLM) agents often face a fundamental tension between answer quality and execution cost. Fixed workflows are stable but inflexible, while free-form multi-step reason...
Boyan Liu, Gongming Zhao, Hongli Xu
Constraints on the $^{12}$C$(α, γ)^{16}$O and $^{16}$O+$^{16}$O Reaction Rates from Binary Black Holes Detected via Gravitational Wave Signals
Gravitational-wave observations of binary black hole (BH) mergers provide a novel avenue for testing massive-star evolution and the resulting BH mass spectrum. Recent population analyses under the ...
Wenyu Xin, Xiaokun Hou, Xianfei Zhang, Shaolan Bi, Gang Zhao
Modeling Quasar Photo-$z$ Distribution and Uncertainty. A Study Based on the Kilo-Degree Survey
We aim to determine the most effective approach for estimating uncertainties in quasar photo-$z$ and to evaluate the ability of different models to reconstruct the true redshift distribution under ...
Kacper Drabicki, Szymon J. Nakoneczny, Maciej Bilicki
What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time
Test-Time Reinforcement Learning (TTRL) enables Large Language Models (LLMs) to enhance reasoning capabilities on unlabeled test streams by deriving pseudo-rewards from majority voting consensus. H...
Dong Yan, Jian Liang, Yanbo Wang, Shuo Lu, Ran He, Tieniu Tan
NASimJax: GPU-Accelerated Policy Learning Framework for Penetration Testing
Penetration testing, the practice of simulating cyberattacks to identify vulnerabilities, is a complex sequential decision-making task that is inherently partially observable and features large act...
Raphael Simon, José Carrasquel, Wim Mees, Pieter Libin
MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment
Medical image quality assessment (Med-IQA) is a prerequisite for clinical AI deployment, yet multimodal large language models (MLLMs) still fall substantially short of human experts, particularly w...
Jiyao Liu, Junzhi Ning, Wanying Qu, Lihao Liu, Chenglong Ma, Junjun He, Ningsheng Xu
Beyond detection: cooperative multi-agent reasoning for rapid onboard EO crisis response
Rapid identification of hazardous events is essential for next-generation Earth Observation (EO) missions supporting disaster response. However, current monitoring pipelines remain largely ground-c...
Alejandro D. Mousist, Pedro Delgado de Robles Martín, Raquel Lladró Climent, Julian Cobos Aparicio
Dynamically Reprogrammable Runtime Monitors for Bounded-time MTL
A Runtime Verification (RV) framework that supports online, at-speed verification of properties that can change dynamically (during in-field operations) will benefit a large variety of applications...
Chirantan Hebballi, Akash Poptani, Amrutha Benny, Rajshekar Kalayappan, Sandeep Chandran, Ramchan...
Semantic Delta: An Interpretable Signal Differentiating Human and LLMs Dialogue
Do LLMs talk like us? This question intrigues a multitude of scholar and it is relevant in many fields, from education to academia. This work presents an interpretable statistical feature for disti...
Riccardo Scantamburlo, Mauro Mezzanzana, Giacomo Buonanno, Francesco Bertolotti
Overreliance on AI in Information-seeking from Video Content
The ubiquity of multimedia content is reshaping online information spaces, particularly in social media environments. At the same time, search is being rapidly transformed by generative AI, with la...
Anders Giovanni Møller, Elisa Bassignana, Francesco Pierri, Luca Maria Aiello
Modeling subgrid scale production rates on complex meshes using graph neural networks
Large-eddy simulations (LES) require closures for filtered production rates because the resolved fields do not contain all correlations that govern chemical source terms. We develop a graph neural ...
Priyabrat Dash, Mathis Bode, Konduri Aditya
Gesture2Speech: How Far Can Hand Movements Shape Expressive Speech?
Human communication seamlessly integrates speech and bodily motion, where hand gestures naturally complement vocal prosody to express intent, emotion, and emphasis. While recent text-to-speech (TTS...
Lokesh Kumar, Nirmesh Shah, Ashishkumar P. Gudmalwar, Pankaj Wasnik
FormalEvolve: Neuro-Symbolic Evolutionary Search for Diverse and Prover-Effective Autoformalization
Autoformalization aims to translate natural-language mathematics into compilable, machine-checkable statements. However, semantic consistency does not imply prover effectiveness: even semantically ...
Haijian Lu, Wei Wang, Jing Liu
HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks
Existing UAV vision-language navigation (VLN) benchmarks have enabled language-guided flight, but they largely focus on long, step-wise route descriptions with goal-centric evaluation, making them ...
Jingyu Guo, Ziye Chen, Ziwen Li, Zhengqing Gao, Jiaxin Huang, Hanlue Zhang, Fengming Huang, Yu Ya...
Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization
Quantum machine learning offers promising advantages for classification tasks, but noise, decoherence, and connectivity constraints in current devices continue to limit the efficient execution of f...
F. Rodríguez-Díaz, D. Gutiérrez-Avilés, A. Troncoso, F. Martínez-Álvarez
Borderless Long Speech Synthesis
Most existing text-to-speech (TTS) systems either synthesize speech sentence by sentence and stitch the results together, or drive synthesis from plain-text dialogues alone. Both approaches leave m...
Xingchen Song, Di Wu, Dinghao Zhou, Pengyu Cheng, Hongwu Ding, Yunchao He, Jie Wang, Shengfan She...