most citedInterChat: Enhancing Generative Visual Analytics using Multimodal Interactions

5 citations · 5 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Plover: Steering GUI Agents through Plan-Centric Interaction

Madhumitha Venkatesan, Shicheng Wen, Jiajing Guo +3

Graphical user interface (GUI) automation remains challenging in real-world environments, where dynamic layouts, unexpected dialogs, and evolving interface states can cause autonom…

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.CL2025

Rethinking Agentic Workflows: Evaluating Inference-Based Test-Time Scaling Strategies in Text2SQL Tasks

Jiajing Guo, Kenil Patel, Jorge Piazentin Ono +2

Large language models (LLMs) are increasingly powering Text-to-SQL (Text2SQL) systems, enabling non-expert users to query industrial databases using natural language. While test-ti…

cs.CV2025

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.CV2025

VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis

Xinyuan Yan, Xiwei Xuan, Jorge Piazentin Ono +6

Real-world machine learning models require rigorous evaluation before deployment, especially in safety-critical domains like autonomous driving and surveillance. The evaluation of…

cs.HC20255 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…