Georgia Institute of Technology（佐治亚理工学院）

MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces

Reuben A. Luera, Ryan Rossi, Franck Dernoncourt, Samyadeep Basu, Sungchul Kim, Subhojyoti Mukherjee, Puneet Mathur, Ruiyi Zhang, Jihyung Kil, Nedim Lipka, Seunghyun Yoon, Jiuxiang Gu, Zichao Wang, Cindy Xiong Bearfield, Branislav Kveton

机构 * University of California, Berkeley（加州大学伯克利分校） ； Adobe Research（Adobe研究） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings

Shikun Liu, Haoyu Wang, Mufei Li, Pan Li

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

Whole Body Model Predictive Control for Spin-Aware Quadrupedal Table Tennis

David Nguyen, Zulfiqar Zaidi, Kevin Karol, Jessica Hodgins, Zhaoming Xie

机构 * Department of Mechanical Engineering, Massachusetts Institute of Technology（麻省理工学院机械工程系） ； Department of Mechanical Engineering, Georgia Institute of Technology（佐治亚理工学院机械工程系） ； RAI Institute（RAI研究所） 纠错

Comments Submitted to appear in IEEE ICRA 2026

Enhancing Biomedical Named Entity Recognition using GLiNER-BioMed with Targeted Dictionary-Based Post-processing for BioASQ 2025 task 6

Ritesh Mehta

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

Comments Paper published to CLEF 2025 CEUR-WS

Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation

Mufei Li, Dongqi Fu, Limei Wang, Si Zhang, Hanqing Zeng, Kaan Sancak, Ruizhong Qiu, Haoyu Wang, Xiaoxin He, Xavier Bresson, Yinglong Xia, Chonglin Sun, Pan Li

机构 * Georgia Institute of Technology（佐治亚理工学院） ； Meta AI ； University of Illinois Urbana–Champaign（伊利诺伊大学厄巴纳-香槟分校） ； National University of Singapore（新加坡国立大学） 纠错

Comments Code available at https://github.com/Graph-COM/HaystackCraft

Game of Trust: How Trustworthy Does Your Blockchain Think You Are?

Petros Drineas, Rohit Nema, Rafail Ostrovsky, Vassilis Zikas

机构 * Purdue University（普渡大学） ； Stanford University（斯坦福大学） ； UCLA（加州大学洛杉矶分校） ； Georgia Tech（佐治亚理工学院） 纠错

COSMOS: A Hybrid Adaptive Optimizer for Memory-Efficient Training of LLMs

Liming Liu, Zhenghao Xu, Zixuan Zhang, Hao Kang, Zichong Li, Chen Liang, Weizhu Chen, Tuo Zhao

机构 * Georgia Tech（佐治亚理工学院） ； Microsoft（微软公司） 纠错

Comments 23 pages, 9 figures, 6 tables