Papers
Research papers from arXiv and related sources
BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs
Large language models (LLMs) increasingly store user preferences in persistent memory to support personalization across interactions. However, in third-party communication settings governed by soci...
Sangyeon Yoon, Sunkyoung Kim, Hyesoo Hong, Wonje Jeung, Yongil Kim, Wooseok Seo, Heuiyeen Yeen, A...
Applicability of Radiowave Anechoic Chambers for Acoustic Free-Field Measurements on the Example of the Chamber at ITMO University
Acoustic anechoic chambers allow free-field measurements required for the verification of effects under investigation and for the characterization of developing devices. However, the construction o...
Farid Bikmukhametov, Ksenia Razrezova, Roman Smolnitsky, Yuri Shchelokov, Nikolay Kanev, Mariia K...
EmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language Models
Large language models (LLMs) demonstrate strong cognitive intelligence (IQ), yet many real-world interactions also require emotional intelligence (EQ) to produce responses that are both factually r...
Yifei Zhang, Mingyang Li, Henry Gao, Liang Zhao
CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation
Generative models are increasingly used to augment medical imaging datasets for fairer AI. Yet a key assumption often goes unexamined: that generators themselves produce equally high-quality images...
Mahmoud Ibrahim, Bart Elen, Chang Sun, Gokhan Ertaylan, Michel Dumontier
SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation
In light of globalized hardware supply chains, the assurance of hardware components has gained significant interest, particularly in cryptographic applications and high-stakes scenarios. Identifyin...
Christian Gehrmann, Jonas Ricker, Simon Damm, Deruo Cheng, Julian Speith, Yiqiong Shi, Asja Fisch...
DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Intensity Analysis (ABSIA) has garnered increasing attention, though research largely focuses on domain-specific, sentence-level settings. In contrast, document-level ABSIA--...
Lei Wang, Min Huang, Eduard Dragut
How often do Answers Change? Estimating Recency Requirements in Question Answering
Large language models (LLMs) often rely on outdated knowledge when answering time-sensitive questions, leading to confident yet incorrect responses. Without explicit signals indicating whether up-t...
Bhawna Piryani, Zehra Mert, Adam Jatowt
A Pin-Array Structured Climbing Robot for Stable Locomotion on Steep Rocky Terrain
Climbing robots face significant challenges when navigating unstructured environments, where reliable attachment to irregular surfaces is critical. We present a novel mobile climbing robot equipped...
Keita Nagaoka, Kentaro Uno, Kazuya Yoshida
Designing for Disagreement: Front-End Guardrails for Assistance Allocation in LLM-Enabled Robots
LLM-enabled robots prioritizing scarce assistance in social settings face pluralistic values and LLM behavioral variability: reasonable people can disagree about who is helped first, while LLM-medi...
Carmen Ng
Testing the Coexistence of Dark Energy and Dark Matter with Late-time Observational Data
We investigate the viability of a cosmological scenario with interacting dark sector, which can describe the coexistence between dark energy and dark matter. The model possesses an analytical solut...
Shambel Sahlu, Andronikos Paliathanasis, Genly Leon, Amare Abebe
Estimation and Hypothesis Testing of Fixed Effects Models-Based Uncertainty for Factor Designs
To analyze the uncertain data frequently encountered in practice, this paper proposes novel fixed-effects models that incorporate an uncertain measure to investigate variables of interest and nuisa...
Fan Zhang, Zhiming Li
Exploring different approaches to customize language models for domain-specific text-to-code generation
Large language models (LLMs) have demonstrated strong capabilities in generating executable code from natural language descriptions. However, general-purpose models often struggle in specialized pr...
Luís Freire, Fernanda A. Andaló, Nicki Skafte Detlefsen
Consensus in Multi-Agent Systems with Uniform and Nonuniform Communication Delays
This paper analyzes consensus in multi-agent systems under uniform and nonuniform communication delays, a key challenge in distributed coordination with applications to robotic swarms. It investiga...
Shokoufeh Naderi, Maude Blondin, Sébastien Roy
FleetOpt: Analytical Fleet Provisioning for LLM Inference with Compress-and-Route as Implementation Mechanism
Modern LLM GPU fleets are provisioned for worst-case context lengths that the vast majority of requests never approach, wasting GPU capacity on idle KV-cache slots. We present FleetOpt, a framework...
Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang, Bowei He, Xue Liu
Monte Carlo sampling from a projected entangled-pair state in simulations of quantum annealing in the three dimensional random Ising model
Quantum annealing with the D-Wave Advantage system in the random Ising model on a cubic lattice is simulated using a three-dimensional (3D) tensor network. The Hamiltonian is driven across a quantu...
Jacek Dziarmaga
When Rolling Gets Weird: A Curved-Link Tensegrity Robot for Non-Intuitive Behavior
Conventional mobile tensegrity robots constructed with straight links offer mobility at the cost of locomotion speed. While spherical robots provide highly effective rolling behavior, they often la...
Lauren Ervin, Harish Bezawada, Vishesh Vikas
From the Inside Out: Progressive Distribution Refinement for Confidence Calibration
Leveraging the model's internal information as the self-reward signal in Reinforcement Learning (RL) has received extensive attention due to its label-free nature. While prior works have made signi...
Xizhong Yang, Yinan Xia, Huiming Wang, Mofei Song
AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agents
Large language model (LLM) agents increasingly rely on external memory to support long-horizon interaction, personalized assistance, and multi-step reasoning. However, existing memory systems still...
Shannan Yan, Jingchen Ni, Leqi Zheng, Jiajun Zhang, Peixi Wu, Dacheng Yin, Jing Lyu, Chun Yuan, F...
ExpressMind: A Multimodal Pretrained Large Language Model for Expressway Operation
The current expressway operation relies on rule-based and isolated models, which limits the ability to jointly analyze knowledge across different systems. Meanwhile, Large Language Models (LLMs) ar...
Zihe Wang, Yihuan Wang, Haiyang Yu. Zhiyong Cui, Xiaojian Liao, Chengcheng Wang, Yonglin Tian, Yo...
Achieving Sub-Zeptonewton Force Sensitivity and Spin-Motion Entanglement in Levitated Diamond via Pulsed Backaction Evasion
We propose a system to achieve sub-zeptonewton force sensing and robust spin-mechanical entanglement in a levitated diamond system. By coupling a Nitrogen-Vacancy (NV) center spin to the motion of ...
Gayathrini Premawardhana, Jonathan Beaumariage, M. V. Gurudev Dutt, David Pekker, Thomas Purdy, J...