activity
20242026
most citedInvestigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis

17 citations · 30 across the 8 of their papers we have counts for

collaborators

9 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★ 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.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.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…

cs.CV2024

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation

Xiaoqi Wang, Wenbin He, Xiwei Xuan +8

The open-vocabulary image segmentation task involves partitioning images into semantically meaningful segments and classifying them with flexible text-defined categories. The recen…

cs.HC2024★ 17 cited

Investigating Interaction Modes and User Agency in Human-LLM Collaboration for Domain-Specific Data Analysis

Jiajing Guo, Vikram Mohanty, Jorge Piazentin Ono +3

Despite demonstrating robust capabilities in performing tasks related to general-domain data-operation tasks, Large Language Models (LLMs) may exhibit shortcomings when applied to…

cs.CV2024★ 1 cited

AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding

Xiwei Xuan, Jorge Piazentin Ono, Liang Gou +2

Data slice finding is an emerging technique for validating machine learning (ML) models by identifying and analyzing subgroups in a dataset that exhibit poor performance, often cha…