Papers
Research papers from arXiv and related sources
Theory Discovery in Social Networks: Automating ERGM Specification with Large Language Models
Understanding how social networks form, whether through reciprocity, shared attributes, or triadic closure, is central to computational social science. Exponential Random Graph Models (ERGMs) offer...
Yidan Sun, Mayank Kejriwal
$V_1$: Unifying Generation and Self-Verification for Parallel Reasoners
Test-time scaling for complex reasoning tasks shows that leveraging inference-time compute, by methods such as independently sampling and aggregating multiple solutions, results in significantly be...
Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan, Xiaoxia Wu, Junxiong Wan...
Compliant In-hand Rolling Manipulation Using Tactile Sensing
We investigate in-hand rolling manipulation using a multifingered robot hand, where each finger is compliant and equipped with a tactile fingertip providing contact location and wrench information....
Huan Weng, Yifei Chen, Kevin M. Lynch
The Company You Keep: How LLMs Respond to Dark Triad Traits
Large Language Models (LLMs) often exhibit highly agreeable and reinforcing conversational styles, also known as AI-sycophancy. Although this behavior is encouraged, it may become problematic when ...
Zeyi Lu, Angelica Henestrosa, Pavel Chizhov, Ivan P. Yamshchikov
LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance
The advancement of Machine learning (ML), Large Audio Language Models (LALMs), and autonomous AI agents in Music Information Retrieval (MIR) necessitates a shift from static tagging to rich, human-...
Ioannis Prokopiou, Ioannis Sina, Agisilaos Kounelis, Pantelis Vikatos, Themos Stafylakis
Position: Vector Prompt Interfaces Should Be Exposed to Enable Customization of Large Language Models
As large language models (LLMs) transition from research prototypes to real-world systems, customization has emerged as a central bottleneck. While text prompts can already customize LLM behavior, ...
Liangwei Yang, Shiyu Wang, Haolin Chen, Rithesh Murthy, Ming Zhu, Jielin Qiu, Zixiang Chen, Junta...
The effect of chemical vapor infiltration process parameters on flexural strength of porous α-SiC: A numerical model
The flexural strength variability of α-SiC based ceramics at elevated temperatures creates the need for an Integrated Computational Materials Engineering (ICME) framework that relates the strength ...
Joseph J. Marziale, Jason Sun, Eric A. Walker, Yu Chen, David Salac, James Chen
VANGUARD: Vehicle-Anchored Ground Sample Distance Estimation for UAVs in GPS-Denied Environments
Autonomous aerial robots operating in GPS-denied or communication-degraded environments frequently lose access to camera metadata and telemetry, leaving onboard perception systems unable to recover...
Yifei Chen, Xupeng Chen, Feng Wang, Niangang Jiao, Jiayin Liu
Causality Elicitation from Large Language Models
Large language models (LLMs) are trained on enormous amounts of data and encode knowledge in their parameters. We propose a pipeline to elicit causal relationships from LLMs. Specifically, (i) we s...
Takashi Kameyama, Masahiro Kato, Yasuko Hio, Yasushi Takano, Naoto Minakawa
Statistical Inference for Score Decompositions
We introduce inference methods for score decompositions, which partition scoring functions for predictive assessment into three interpretable components: miscalibration, discrimination, and uncerta...
Timo Dimitriadis, Marius Puke
Grid-agnostic volume of fluid approach with interface sharpening and surface tension for compressible multiphase flows
The interfacial diffusion associated with finite volume method (FVM) discretizations of multiphase flows creates the need for an interface sharpening mechanism. Such solutions for structured quadri...
J. Marziale, J. Sun, D. Salac, J. Chen
ViterbiPlanNet: Injecting Procedural Knowledge via Differentiable Viterbi for Planning in Instructional Videos
Procedural planning aims to predict a sequence of actions that transforms an initial visual state into a desired goal, a fundamental ability for intelligent agents operating in complex environments...
Luigi Seminara, Davide Moltisanti, Antonino Furnari
Atmospheric neutrino constraints on Lorentz invariance violation with the first six detection units of KM3NeT/ORCA
Lorentz invariance is a fundamental symmetry underlying both the Standard Model of particle physics and General Relativity. Testing its validity provides a direct means of searching for new physics...
KM3NeT Collaboration, O. Adriani, A. Albert, A. R. Alhebsi, S. Alshalloudi, S. Alves Garre, F. A...
When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies
Large language models (LLMs) are increasingly embedded in high-stakes workflows, where failures propagate beyond isolated model errors into systemic breakdowns that can lead to legal exposure, repu...
Evgenija Popchanovska, Ana Gjorgjevikj, Maryan Rizinski, Lubomir Chitkushev, Irena Vodenska, Dimi...
Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory
Large language model (LLM) agents are fundamentally bottlenecked by finite context windows on long-horizon tasks. As trajectories grow, retaining tool outputs and intermediate reasoning in-context ...
Zhenting Wang, Huancheng Chen, Jiayun Wang, Wei Wei
Learning Read-Once Determinants and the Principal Minor Assignment Problem
A symbolic determinant under rank-one restriction computes a polynomial of the form $\det(A_0+A_1y_1+\ldots+A_ny_n)$, where $A_0,A_1,\ldots,A_n$ are square matrices over a field $\mathbb{F}$ and $r...
Abhiram Aravind, Abhranil Chatterjee, Sumanta Ghosh, Rohit Gurjar, Roshan Raj, Chandan Saha
Cluster-Level Experiments using Temporal Switchback Designs: Precision Gains in Pricing A/B Tests at LATAM Airlines
Experimentation is central to modern digital businesses, but many operational decisions cannot be randomized at the user level. In such cases, cluster-level experiments, where clusters are usually ...
Nicolás Ferrari-Ortiz, Sebastián Orellana-Montini, Timur Abbiasov, Marie Garkavenko, Rutger Lit
Predicting oscillations in complex networks with delayed feedback
Oscillatory dynamics are common features of complex networks, often playing essential roles in regulating function. Across scales from gene regulatory networks to ecosystems, delayed feedback mecha...
Shijie Liu, Jinliang Han, Tim Rogers, Yongzheng Sun
LikeThis! Empowering App Users to Submit UI Improvement Suggestions Instead of Complaints
User feedback is crucial for the evolution of mobile apps. However, research suggests that users tend to submit uninformative, vague, or destructive feedback. Unlike recent AI4SE approaches that fo...
Jialiang Wei, Ali Ebrahimi Pourasad, Walid Maalej
Agentics 2.0: Logical Transduction Algebra for Agentic Data Workflows
Agentic AI is rapidly transitioning from research prototypes to enterprise deployments, where requirements extend to meet the software quality attributes of reliability, scalability, and observabil...
Alfio Massimiliano Gliozzo, Junkyu Lee, Nahuel Defosse