activity
20232026
most citedXNLI: Explaining and Diagnosing NLI-based Visual Data Analysis

33 citations · 40 across the 13 of their papers we have counts for

collaborators

13 papers

cs.AI2026

LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent

Bince Qu, Wanli Li, Bo Pan +5

Reinforcement Learning (RL) has emerged as a powerful training paradigm for LLM-based agents. However, scaling agentic RL for deep research remains constrained by two coupled chall…

cs.IR2026

InterDeepResearch: Enabling Human-Agent Collaborative Information Seeking through Interactive Deep Research

Bo Pan, Lunke Pan, Yitao Zhou +4

Deep research systems powered by LLM agents have transformed complex information seeking by automating the iterative retrieval, filtering, and synthesis of insights from massive-sc…

cs.LG2026

IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation

Yinghao Tang, Xueding Liu, Boyuan Zhang +13

Infographics are composite visual artifacts that combine data visualizations with textual and illustrative elements to communicate information. While recent text-to-image (T2I) mod…

cs.CV2025

DreamJourney: Perpetual View Generation with Video Diffusion Models

Bo Pan, Yang Chen, Yingwei Pan +3

Perpetual view generation aims to synthesize a long-term video corresponding to an arbitrary camera trajectory solely from a single input image. Recent methods commonly utilize a p…

cs.CV2025★ 1 cited

VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation

Bo Pan, Yixiao Fu, Ke Wang +15

Data visualization generation using Large Language Models (LLMs) has shown promising results but often produces suboptimal visualizations that require human intervention for improv…

cs.IR2025

XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation

Ke Wang, Bo Pan, Yingchaojie Feng +4

Graph-based Retrieval-Augmented Generation (RAG) has shown great capability in enhancing Large Language Model (LLM)'s answer with an external knowledge base. Compared to traditiona…

cs.GR2025

IntuiTF: MLLM-Guided Transfer Function Optimization for Direct Volume Rendering

Yiyao Wang, Bo Pan, Ke Wang +8

Direct volume rendering (DVR) is a fundamental technique for visualizing volumetric data, where transfer functions (TFs) play a crucial role in extracting meaningful structures. Ho…

cs.CL2025

Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports From Scratch with Agentic Framework

Zhaorui Yang, Bo Pan, Han Wang +8

Visualizations play a crucial part in effective communication of concepts and information. Recent advances in reasoning and retrieval augmented generation have enabled Large Langua…

cs.LG2025

Scorpio: Serving Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference

Yinghao Tang, Tingfeng Lan, Bo Pan +3

Large Language Model (LLM) serving increasingly underpins online Web services such as conversational agents, Web search, and programming assistants, where requests carry heterogene…

cs.HC2025

Exploring Multimodal Prompt for Visualization Authoring with Large Language Models

Zhen Wen, Luoxuan Weng, Yinghao Tang +5

Recent advances in large language models (LLMs) have shown great potential in automating the process of visualization authoring through simple natural language utterances. However,…

cs.HC2024★ 6 cited

AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration

Bo Pan, Jiaying Lu, Ke Wang +5

The potential of automatic task-solving through Large Language Model (LLM)-based multi-agent collaboration has recently garnered widespread attention from both the research communi…

cs.HC2024

AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems

Jiaying Lu, Bo Pan, Jieyi Chen +4

Recently, Large Language Model based Autonomous system(LLMAS) has gained great popularity for its potential to simulate complicated behaviors of human societies. One of its main ch…

cs.HC2023★ 33 cited

XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis

Yingchaojie Feng, Xingbo Wang, Bo Pan +7

Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in data visualization. However, diagnosing the visualization results without understanding…