output
20072026
most citedE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials

1.9k citations

97 papers

cs.HC2026

Scaling Expert Feedback with Reflective Edit Propagation in Compositional Knowledge Bases

Jiajing Guo, Xueming Li, Jorge Piazentin Ono +2

Domain-specific knowledge bases (KBs) encode vertical expertise and proprietary information that organizations depend on, but curating them at scale is a persistent challenge. Alth…

cs.HC2026

ConSearcher: Supporting Conversational Information Seeking in Online Communities with Member Personas

Shiwei Wu, Xinyue Chen, Yuheng Liu +5

Many people browse online communities to learn from others' experiences and opinions, e.g., for constructing travel plans. Conversational search powered by large language models (L…

cs.CV2025★ 7 cited

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels

Xiwei Xuan, Xiaoqi Wang, Wenbin He +4

The advances in multi-modal foundation models (FMs) (e.g., CLIP and LLaVA) have facilitated the auto-labeling of large-scale datasets, enhancing model performance in challenging do…

cs.RO2025★ 1 cited

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning

Jiaxun Cui, Chen Tang, Jarrett Holtz +4

Past work has demonstrated that autonomous vehicles can drive more safely if they communicate with each other. However, this communication is usually not human-understandable. Usin…

cs.HC2025★ 5 cited

InterChat: Enhancing Generative Visual Analytics using Multimodal Interactions

Juntong Chen, Jiang Wu, Jiajing Guo +6

The rise of Large Language Models (LLMs) and generative visual analytics systems has transformed data-driven insights, yet significant challenges persist in accurately interpreting…

cond-mat.soft2024★ 17 cited

Polymer Composites Informatics for Flammability, Thermal, Mechanical and Electrical Property Predictions

Huan Tran, Chiho Kim, Rishi Gurnani +8

Polymer composite performance depends significantly on the polymer matrix, additives, processing conditions, and measurement setups. Traditional physics-based optimization methods…