1 citations · 2 across the 7 of their papers we have counts for
7 papers
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
Lei Ding, Bin He, Chenguang Wang +1
Proactive task-oriented agents must autonomously anticipate user needs, identify actionable opportunities, and trigger software actions at appropriate moments - fundamentally shift…
PeopleSearchBench: Evaluating AI-Powered People Search Platforms with Criteria-Grounded Verification
Tianyu Shi, Wei Wang, Zequn Xie +10
AI-powered people search platforms are increasingly deployed for recruiting, sales prospecting, and professional networking, yet no standardized benchmark exists for their rigorous…
Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning
Rui Jerry Huang, Wendy Liu, Anastasia Miin +1
Inference-time computation is a critical yet challenging paradigm for enhancing the reasoning performance of large language models (LLMs). While existing strategies improve reasoni…
Right this way: Can VLMs Guide Us to See More to Answer Questions?
Li Liu, Diji Yang, Sijia Zhong +4
In question-answering scenarios, humans can assess whether the available information is sufficient and seek additional information if necessary, rather than providing a forced answ…
Dual-Model Distillation for Efficient Action Classification with Hybrid Edge-Cloud Solution
Timothy Wei, Hsien Xin Peng, Elaine Xu +3
As Artificial Intelligence models, such as Large Video-Language models (VLMs), grow in size, their deployment in real-world applications becomes increasingly challenging due to har…
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
Yue Fan, Lei Ding, Ching-Chen Kuo +6
Graphical User Interfaces (GUIs) are central to our interaction with digital devices and growing efforts have been made to build models for various GUI understanding tasks. However…
Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
Lei Ding, Jeshwanth Bheemanpally, Yi Zhang
Many people use search engines to find online guidance to solve computer or mobile device problems. Users frequently encounter challenges in identifying effective solutions from se…