most citedNeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification

9 citations · 9 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2026

ChipLingo: A Systematic Training Framework for Large Language Models in EDA

Lei Li, Xingwen Yu, Jianguo Ni +4

With the rapid advancement of semiconductor technology, Electronic Design Automation (EDA) has become an increasingly knowledge-intensive and document-driven engineering domain. Al…

cs.HC2026

MindTrellis: Co-Creating Knowledge Structures with AI through Interactive Visual Exploration

Xiang Li, Cara Li, Emily Kuang +2

Knowledge workers face increasing challenges in synthesizing information from multiple documents into structured conceptual understanding. This process is inherently iterative: use…

cs.AI2026

GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation

Wei Zeng, Fengwei An, Zhen Liu +1

Game UI design requires consistent visual assets across rarity tiers yet remains a predominantly manual process. We present GameUIAgent, an LLM-powered agentic framework that trans…

cs.HC2025

NoteEx: Interactive Visual Context Manipulation for LLM-Assisted Exploratory Data Analysis in Computational Notebooks

Mohammad Hasan Payandeh, Lin-Ping Yuan, Jian Zhao

Computational notebooks have become popular for Exploratory Data Analysis (EDA), augmented by LLM-based code generation and result interpretation. Effective LLM assistance hinges o…

cs.CL2025

The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution

Junlong Li, Wenshuo Zhao, Jian Zhao +18

Real-world language agents must handle complex, multi-step workflows across diverse Apps. For instance, an agent may manage emails by coordinating with calendars and file systems,…

cs.HC20259 cited

NeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification

Wenshuo Zhang, Leixian Shen, Shuchang Xu +4

Conversational LLMs have been widely adopted by domain users with limited programming experience to solve domain problems. However, these users often face misalignment between thei…