Papers
Research papers from arXiv and related sources
Kraus Constrained Sequence Learning For Quantum Trajectories from Continuous Measurement
Real-time reconstruction of conditional quantum states from continuous measurement records is a fundamental requirement for quantum feedback control, yet standard stochastic master equation (SME) s...
Priyanshi Singh, Krishna Bhatia
FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling
Attention, as a core layer of the ubiquitous Transformer architecture, is the bottleneck for large language models and long-context applications. While FlashAttention-3 optimized attention for Hopp...
Ted Zadouri, Markus Hoehnerbach, Jay Shah, Timmy Liu, Vijay Thakkar, Tri Dao
Distributed Partial Information Puzzles: Examining Common Ground Construction Under Epistemic Asymmetry
Establishing common ground, a shared set of beliefs and mutually recognized facts, is fundamental to collaboration, yet remains a challenge for current AI systems, especially in multimodal, multipa...
Yifan Zhu, Mariah Bradford, Kenneth Lai, Timothy Obiso, Videep Venkatesha, James Pustejovsky, Nik...
TILARA: Template-Independent Line-by-line Algorithm for Radial velocity Analysis. I. Description of the code and application on a Sun-like star
Precise radial velocities (RVs) are commonly derived through cross-correlation or template-matching methods, both of which rely on a reference spectrum that can introduce biases when the data are v...
C. San Nicolas Martinez, N. C. Santos, V. Adibekyan, K. Al Moulla, A. M. Silva, S. G. Sousa
High-Pressure Inelastic Neutron Spectroscopy: A true test of Machine-Learned Interatomic Potential energy landscapes
Machine-learned interatomic potentials (MLIPs) promise to provide near density-functional theory accuracy at a fraction of the computational cost, offering a transformative route toward genuinely p...
Jeff Armstrong, Adam Jackson, Alin Elena
SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning
Weakly-Supervised Dense Video Captioning aims to localize and describe events in videos trained only on caption annotations, without temporal boundaries. Prior work introduced an implicit supervisi...
Ye-Chan Kim, SeungJu Cha, Si-Woo Kim, Minju Jeon, Hyungee Kim, Dong-Jin Kim
Ensembling Language Models with Sequential Monte Carlo
Practitioners have access to an abundance of language models and prompting strategies for solving many language modeling tasks; yet prior work shows that modeling performance is highly sensitive to...
Robin Shing Moon Chan, Tianyu Liu, Samuel Kiegeland, Clemente Pasti, Jacob Hoover Vigly, Timothy ...
RelaxFlow: Text-Driven Amodal 3D Generation
Image-to-3D generation faces inherent semantic ambiguity under occlusion, where partial observation alone is often insufficient to determine object category. In this work, we formalize text-driven ...
Jiayin Zhu, Guoji Fu, Xiaolu Liu, Qiyuan He, Yicong Li, Angela Yao
MobileFetalCLIP: Selective Repulsive Knowledge Distillation for Mobile Fetal Ultrasound Analysis
Fetal ultrasound AI could transform prenatal care in low-resource settings, yet current foundation models exceed 300M visual parameters, precluding deployment on point-of-care devices. Standard kno...
Numan Saeed, Fadillah Adamsyah Maani, Mohammad Yaqub
Dissociating Direct Access from Inference in AI Introspection
Introspection is a foundational cognitive ability, but its mechanism is not well understood. Recent work has shown that AI models can introspect. We study their mechanism of introspection, first ex...
Harvey Lederman, Kyle Mahowald
Building Enterprise Realtime Voice Agents from Scratch: A Technical Tutorial
We present a technical tutorial for building enterprise-grade realtime voice agents from first principles. While over 25 open-source speech-to-speech models and numerous voice agent frameworks exis...
Jielin Qiu, Zixiang Chen, Liangwei Yang, Ming Zhu, Zhiwei Liu, Juntao Tan, Wenting Zhao, Rithesh ...
ROScopter: A Multirotor Autopilot based on ROSflight 2.0
ROScopter is a lean multirotor autopilot built for researchers. ROScopter seeks to accelerate simulation and hardware testing of research code with an architecture that is both easy to understand a...
Jacob Moore, Ian Reid, Phil Tokumaru, Tim McLain
An Exploration-Analysis-Disambiguation Reasoning Framework for Word Sense Disambiguation with Low-Parameter LLMs
Word Sense Disambiguation (WSD) remains a key challenge in Natural Language Processing (NLP), especially when dealing with rare or domain-specific senses that are often misinterpreted. While modern...
Deshan Sumanathilaka, Nicholas Micallef, Julian Hough
Judge Reliability Harness: Stress Testing the Reliability of LLM Judges
We present the Judge Reliability Harness, an open source library for constructing validation suites that test the reliability of LLM judges. As LLM based scoring is widely deployed in AI benchmarks...
Sunishchal Dev, Andrew Sloan, Joshua Kavner, Nicholas Kong, Morgan Sandler
Loop Closure via Maximal Cliques in 3D LiDAR-Based SLAM
Reliable loop closure detection remains a critical challenge in 3D LiDAR-based SLAM, especially under sensor noise, environmental ambiguity, and viewpoint variation conditions. RANSAC is often used...
Javier Laserna, Saurabh Gupta, Oscar Martinez Mozos, Cyrill Stachniss, Pablo San Segundo
Harnessing Synthetic Data from Generative AI for Statistical Inference
The emergence of generative AI models has dramatically expanded the availability and use of synthetic data across scientific, industrial, and policy domains. While these developments open new possi...
Ahmad Abdel-Azim, Ruoyu Wang, Xihong Lin
Legal interpretation and AI: from expert systems to argumentation and LLMs
AI and Law research has encountered legal interpretation in different ways, in the context of its evolving approaches and methodologies. Research on expert system has focused on legal knowledge eng...
Václav Janeček, Giovanni Sartor
Fusion-CAM: Integrating Gradient and Region-Based Class Activation Maps for Robust Visual Explanations
Interpreting the decision-making process of deep convolutional neural networks remains a central challenge in achieving trustworthy and transparent artificial intelligence. Explainable AI (XAI) tec...
Hajar Dekdegue, Moncef Garouani, Josiane Mothe, Jordan Bernigaud
Temperature-Dependent Dielectric Function of Tantalum Nitride Formed by Atomic Layer Deposition for Tunnel Barriers in Josephson Junctions
We report the dielectric functions of insulating tantalum nitride (TaN) films, deposited using atomic layer deposition (ALD) on 300 mm Si/SiO2 substrates, to demonstrate their suitability as tunnel...
Ekta Bhatia, Aaron Lopez Gonzalez, Yoshitha Hettige, Tuan Vo, Sandra Schujman, Kevin Musick, Thom...
Integral Formulation and the Brézis-Ekeland-Nayroles-Type Principle for Prox-Regular Sweeping Processes
We study sweeping processes in a Hilbert space driven by time-dependent uniformly prox-regular sets, allowing the moving constraint to exhibit discontinuities of bounded variation. We introduce a n...
Juan Guillermo Garrido, Emilio Vilches