1 citations · 2 across the 10 of their papers we have counts for
7 papers · 1 filter
RALI@iKAT 2026: Retrieval-aware User Profile Denoising via Personalized Conversational Dense Retrieval
Yuchen Hui, Fengran Mo, Jia Ao Sun +3
Modern conversational information access systems continuously extract user information from conversations to build user profiles for personalized retrieval. As user profiles accumu…
ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents
Yong Du, Tongbo Chen, Zhengxi Lu +5
Online training enables computer-use agents (CUAs) to improve through interaction with executable environments. However, existing methods primarily rely on sparse outcome rewards,…
Learning from Reliable Negatives: Confidence-Anchored Test-Time Adaptation for GUI Grounding
Yizhou Liu, Fei Tang, Yuchen Yan +8
Graphical User Interface (GUI) grounding is essential for autonomous agents to map natural language instructions to precise screen coordinates. However, existing supervised fine-tu…
Dense Process Supervision for Search Agents via Fact Utility Estimation
Rongzhi Zhu, Xiangyu Liu, Yi Liu +7
Reinforcement learning (RL) for search agents typically relies on outcome rewards. However, it often fails to achieve effective credit assignment, due to the unclear value of inter…
MoCA: Implicit Social Context Analysis
Wenhao Xu, Kaiwen Zhang, Hao Li +10
Human social communication, such as affection and intent, is often conveyed in highly implicit ways, where underlying meanings are expressed through indirect, socially and cultural…
UI-Zoomer: Uncertainty-Driven Adaptive Zoom-In for GUI Grounding
Fei Tang, Bofan Chen, Zhengxi Lu +8
GUI grounding, which localizes interface elements from screenshots given natural language queries, remains challenging for small icons and dense layouts. Test-time zoom-in methods…
DOne: Decoupling Structure and Rendering for High-Fidelity Design-to-Code Generation
Xinhao Huang, Jinke Yu, Wenhao Xu +5
While Vision Language Models (VLMs) have shown promise in Design-to-Code generation, they suffer from a "holistic bottleneck-failing to reconcile high-level structural hierarchy wi…