activity
20232026
most citedMindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention

40 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research

Tingjia Miao, Wenkai Jin, Muhua Zhang +19

The paradigm of agentic science requires AI systems to conduct robust reasoning and engage in long-horizon, autonomous exploration. However, current scientific benchmarks remain co…

cs.AI2025

PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research

Tingjia Miao, Wenkai Jin, Jinxin Tan +22

Advances in LLM reasoning and tool use have enabled agentic science, yet frontier theoretical and computational physics remains challenging because research requires deep domain ex…

cs.HC2025

LLMartini: Seamless and Interactive Leveraging of Multiple LLMs through Comparison and Composition

Yingtian Shi, Jinda Yang, Yuhan Wang +4

The growing diversity of large language models (LLMs) means users often need to compare and combine outputs from different models to obtain higher-quality or more comprehensive res…

cs.HC2024

G-VOILA: Gaze-Facilitated Information Querying in Daily Scenarios

Zeyu Wang, Yuanchun Shi, Yuntao Wang +6

Modern information querying systems are progressively incorporating multimodal inputs like vision and audio. However, the integration of gaze -- a modality deeply linked to user in…

cs.CL2023★ 40 cited

MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention

Ruolan Wu, Chun Yu, Xiaole Pan +9

Problematic smartphone use negatively affects physical and mental health. Despite the wide range of prior research, existing persuasive techniques are not flexible enough to provid…