1 citations · 5 across the 17 of their papers we have counts for
17 papers
LEDGER: Claim-to-Evidence Trace Graphs for Auditing LLM Agents
Daehong Kim, Haichao Miao, Shusen Liu
Large language model (LLM) agents can now carry out long-horizon technical workflows involving complex tool use, code execution, file edits, and generated artifacts. As agents do m…
A Query-Efficient Stochastic Volume Rendering Framework for Time-Varying Implicit Neural Volumes
Alper Sahistan, Haichao Miao, Zhimin Li +3
Time-varying implicit neural representations (INRs) provide a compact representation of scientific volumes and, for modalities such as dynamic X-ray computed tomography (CT), are o…
SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and Visualization
Kuangshi Ai, Haichao Miao, Kaiyuan Tang +2
Recent advances in agentic visualization have enabled the translation of natural language into executable scientific visualization (SciVis) workflows. While general-purpose coding…
Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks
Haichao Miao, Zhimin Li, Kuangshi Ai +4
The ability to inspect, interpret, and communicate complex data is crucial for virtually any scientific endeavor, but often requires significant expertise outside the core domain r…
Exploring LLM Agent Designs and Interaction Modalities for Scientific Visualization
Jackson Vonderhorst, Kuangshi Ai, Haichao Miao +2
This paper examines how large language model (LLM) agents perform on scientific visualization (SciVis) tasks that require generating visualization workflows from natural-language i…
SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents
Kuangshi Ai, Haichao Miao, Kaiyuan Tang +13
Recent advances in large language models (LLMs) have enabled agentic systems to translate natural-language intent into executable scientific visualization (SciVis) tasks. Despite r…
Exploring Bichronous Collaboration in Virtual Environments
Alexander Giovannelli, Shakiba Davari, Cherelle Connor +7
Virtual environments (VEs) empower geographically distributed teams to collaborate on a shared project regardless of time. Existing research has separately investigated collaborati…
An Evaluation-Centric Paradigm for Scientific Visualization Agents
Kuangshi Ai, Haichao Miao, Zhimin Li +2
Recent advances in multi-modal large language models (MLLMs) have enabled increasingly sophisticated autonomous visualization agents capable of translating user intentions into dat…
ParaView-MCP: An Autonomous Visualization Agent with Direct Tool Use
Shusen Liu, Haichao Miao, Peer-Timo Bremer
While powerful and well-established, tools like ParaView present a steep learning curve that discourages many potential users. This work introduces ParaView-MCP, an autonomous agen…
See or Recall: A Sanity Check for the Role of Vision in Solving Visualization Question Answer Tasks with Multimodal LLMs
Zhimin Li, Haichao Miao, Xinyuan Yan +3
Recent developments in multimodal large language models (MLLM) have equipped language models to reason about vision and language jointly. This permits MLLMs to both perceive and an…
Exploring Multiscale Navigation of Homogeneous and Dense Objects with Progressive Refinement in Virtual Reality
Leonardo Pavanatto, Alexander Giovannelli, Brian Giera +3
Locating small features in a large, dense object in virtual reality (VR) poses a significant interaction challenge. While existing multiscale techniques support transitions between…
Investigating the Influence of Playback Interactivity during Guided Tours for Asynchronous Collaboration in Virtual Reality
Alexander Giovannelli, Leonardo Pavanatto, Shakiba Davari +5
Collaborative virtual environments allow workers to contribute to team projects across space and time. While much research has closely examined the problem of working in different…
Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data
Xuan Huang, Haichao Miao, Hyojin Kim +5
Advanced manufacturing creates increasingly complex objects with material compositions that are often difficult to characterize by a single modality. Our collaborating domain scien…
Visualization Literacy of Multimodal Large Language Models: A Comparative Study
Zhimin Li, Haichao Miao, Valerio Pascucci +1
The recent introduction of multimodal large language models (MLLMs) combine the inherent power of large language models (LLMs) with the renewed capabilities to reason about the mul…
Enabling Additive Manufacturing Part Inspection of Digital Twins via Collaborative Virtual Reality
Vuthea Chheang, Saurabh Narain, Garrett Hooten +6
Digital twins (DTs) are an emerging capability in additive manufacturing (AM), set to revolutionize design optimization, inspection, in situ monitoring, and root cause analysis. AM…
A Virtual Environment for Collaborative Inspection in Additive Manufacturing
Vuthea Chheang, Brian Thomas Weston, Robert William Cerda +4
Additive manufacturing (AM) techniques have been used to enhance the design and fabrication of complex components for various applications in the medical, aerospace, energy, and co…
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making
Shusen Liu, Haichao Miao, Zhimin Li +3
With recent advances in multi-modal foundation models, the previously text-only large language models (LLM) have evolved to incorporate visual input, opening up unprecedented oppor…