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From the 1 of 12 linked papers with an AI index.

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12 papers

cs.HC2026

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…

cs.GR2026

A Query-Efficient Stochastic Volume Rendering Framework for Time-Varying Implicit Neural Volumes

Alper Sahistan, Haichao Miao, Zhimin Li +3

The paper introduces a stochastic volume rendering framework that efficiently renders time‑varying implicit neural volumes by reducing neural network queries with delta tracking, r…

cs.AI2026

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…

cs.AI2026

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…

cs.AI2026

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…

cs.AI2026

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…