University of Maryland, College Park（马里兰大学帕克分校）

EREBUS: End-to-end Robust Event Based Underwater Simulation

Hitesh Kyatham, Arjun Suresh, Aadi Palnitkar, Yiannis Aloimonos

机构 * Maryland Robotics Center, University of Maryland, College Park, MD 20742, USA（马里兰大学机器人中心，马里兰大学，学院公园，MD 20742，美国） 纠错

Comments Accepted to ICRA AQUA2SIM Workshop 2025, 6 pages, 3 figures, conference paper

Safer in Translation? Presupposition Robustness in Indic Languages

Aadi Palnitkar, Arjun Suresh, Rishi Rajesh, Puneet Puli

机构 * University of Maryland, College Park (UMD) College Park, MD, USA（马里兰大学 College Park 分校） 纠错

Comments This is a submission to LREC 2026 (Language Resources and Evaluation Conference 2026). Corresponding author: aadipalnitkar96@gmail.com

ChartAB: A Benchmark for Chart Grounding & Dense Alignment

Aniruddh Bansal, Davit Soselia, Dang Nguyen, Tianyi Zhou

机构 * University of Maryland, College Park（马里兰大学学院公园分校） 纠错

ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation

Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang

机构 * University of Maryland, College Park（马里兰大学学院公园分校） ； University of Pennsylvania（宾夕法尼亚大学） ； The Hong Kong University of Science and Technology（香港科学与技术大学） ； University of Michigan（密歇根大学） ； University of Southern California（南加州大学） 纠错

Comments Project Page: https://roverbench.github.io/

SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains

Krithika Ramesh, Daniel Smolyak, Zihao Zhao, Nupoor Gandhi, Ritu Agarwal, Margrét Bjarnadóttir, Anjalie Field

机构 * Johns Hopkins University（约翰霍普金斯大学） ； University of Maryland, College Park（马里兰大学学院公园分校） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments EMNLP 2025 System Demonstration

A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models

Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi

机构 * Department of Computer Science University of Maryland, College Park（计算机科学系马里兰大学 College Park） 纠错

Comments Accepted in EMNLP 2025, 34 pages, 25 figures