Papers
Research papers from arXiv and related sources
Experimental Analysis of Microbubble Propagation for In-Body Data Transmission
In-body communication is an upcoming field with significant implications for medical diagnostics and therapeutic interventions. Microbubbles have gained attention due to their distinct physical pro...
Annika Tjabben, Lea Bergkemper, Carolin Conrad, Michael Gundall, Hans D. Schotten
Factored Levenberg-Marquardt for Diffeomorphic Image Registration: An efficient optimizer for FireANTs
FireANTs introduced a novel Eulerian descent method for plug-and-play behavior with arbitrary optimizers adapted for diffeomorphic image registration as a test-time optimization problem, with a GPU...
Rohit Jena, Pratik Chaudhari, James C. Gee
AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis
Ultrasound images vary widely across scanners, operators, and anatomical targets, which often causes models trained in one setting to generalize poorly to new hospitals and clinical conditions. The...
Ufaq Khan, L. D. M. S. Sai Teja, Ayuba Shakiru, Mai A. Shaaban, Yutong Xie, Muhammad Bilal, Muham...
Survival of the most compact: the life and death of satellite halos in self-interacting dark matter
Self-interacting dark matter (SIDM) models feature short-range interactions between dark matter (DM) particles that lead to larger diversity in the inner parts of galactic rotation curves and poten...
David Klemmer, Moritz S. Fischer, Kimberly K. Boddy, Manoj Kaplinghat, Laura Sagunski
Towards a Refinement of Krylov Complexity: Scrambling, Classical Operator Growth and Replicas
We propose and test logarithmic Krylov (logK) complexity, an operator growth measure akin to Krylov complexity defined through a replica approach, as a viable probe of early-time operator scramblin...
Hugo A. Camargo, Yichao Fu, Keun-Young Kim, Yeong Han Park
Toward universal coalescence models for antideuteron production
Cosmic-ray (CR) antinuclei, especially antideuteron $\overline{\rm D}$ and antihelium-3 nuclei ${}^3\overline{\rm He}$, are among the most promising messengers for indirect dark matter (DM) searche...
Mattia di Mauro, Jordan Koechler, Lorenzo Stefanuto, Francesca Bellini, Fiorenza Donato, Nicolao ...
Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models
Vision-Language-Action (VLA) models combine perception, language, and motor control in a single architecture, yet how they translate multimodal inputs into actions remains poorly understood. We app...
Bryce Grant, Xijia Zhao, Peng Wang
FinTradeBench: A Financial Reasoning Benchmark for LLMs
Real-world financial decision-making is a challenging problem that requires reasoning over heterogeneous signals, including company fundamentals derived from regulatory filings and trading signals ...
Yogesh Agrawal, Aniruddha Dutta, Md Mahadi Hasan, Santu Karmaker, Aritra Dutta
F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
We present F2LLM-v2, a new family of general-purpose, multilingual embedding models in 8 distinct sizes ranging from 80M to 14B. Trained on a newly curated composite of 60 million publicly availabl...
Ziyin Zhang, Zihan Liao, Hang Yu, Peng Di, Rui Wang
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
We introduce Nemotron-Cascade 2, an open 30B MoE model with 3B activated parameters that delivers best-in-class reasoning and strong agentic capabilities. Despite its compact size, its mathematical...
Zhuolin Yang, Zihan Liu, Yang Chen, Wenliang Dai, Boxin Wang, Sheng-Chieh Lin, Chankyu Lee, Yangy...
LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs
Recent advancements in omnimodal large language models (OmniLLMs) have significantly improved the comprehension of audio and video inputs. However, current evaluations primarily focus on short audi...
Keda Tao, Yuhua Zheng, Jia Xu, Wenjie Du, Kele Shao, Hesong Wang, Xueyi Chen, Xin Jin, Junhan Zhu...
$R$-equivalence on Cubic Surfaces I: Existing Cases with Non-Trivial Universal Equivalence
Let $V$ be a smooth cubic surface over a $p$-adic field $k$ with good reduction. Swinnerton-Dyer (1981) proved that $R$-equivalence is trivial on $V(k)$ except perhaps if $V$ is one of three specia...
Dimitri Kanevsky, Julian Salazar, Matt Harvey
Constitutive vs. Corrective: A Causal Taxonomy of Human Runtime Involvement in AI Systems
As AI systems increasingly permeate high-stakes decision-making, the terminology regarding human involvement - Human-in-the-Loop (HITL), Human-on-the-Loop (HOTL), and Human Oversight - has become v...
Kevin Baum, Johann Laux
Tinted Frames: Question Framing Blinds Vision-Language Models
Vision-Language Models (VLMs) have been shown to be blind, often underutilizing their visual inputs even on tasks that require visual reasoning. In this work, we demonstrate that VLMs are selective...
Wan-Cyuan Fan, Jiayun Luo, Declan Kutscher, Leonid Sigal, Ritwik Gupta
How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation
Large language models (LLMs) have been widely used as knowledge backbones of Large Audio Language Models (LALMs), yet how much auditory knowledge they encode through text-only pre-training and how ...
Ke-Han Lu, Szu-Wei Fu, Chao-Han Huck Yang, Zhehuai Chen, Sung-Feng Huang, Chih-Kai Yang, Yi-Cheng...
Box Maze: A Process-Control Architecture for Reliable LLM Reasoning
Large language models (LLMs) demonstrate strong generative capabilities but remain vulnerable to hallucination and unreliable reasoning under adversarial prompting. Existing safety approaches -- su...
Zou Qiang
SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
As agentic AI systems become increasingly capable of generating and optimizing GPU kernels, progress is constrained by benchmarks that reward speedup over software baselines rather than proximity t...
Edward Lin, Sahil Modi, Siva Kumar Sastry Hari, Qijing Huang, Zhifan Ye, Nestor Qin, Fengzhe Zhou...
Evaluating Counterfactual Strategic Reasoning in Large Language Models
We evaluate Large Language Models (LLMs) in repeated game-theoretic settings to assess whether strategic performance reflects genuine reasoning or reliance on memorized patterns. We consider two ca...
Dimitrios Georgousis, Maria Lymperaiou, Angeliki Dimitriou, Giorgos Filandrianos, Giorgos Stamou
cuGenOpt: A GPU-Accelerated General-Purpose Metaheuristic Framework for Combinatorial Optimization
Combinatorial optimization problems arise in logistics, scheduling, and resource allocation, yet existing approaches face a fundamental trade-off among generality, performance, and usability. We pr...
Yuyang Liu
$S^3$ partition functions and Equivariant CY$_4 $/ CY$_3$ correspondence from Quantum curves
We study the perturbative large-$N$ expansion of the round three-sphere partition function in a class of M2-brane theories, including flavored SYM and ABJM theories as well as more general 3d theor...
Kiril Hristov, Naotaka Kubo, Yi Pang