7 papers
Mem-PAL: Towards Memory-based Personalized Dialogue Assistants for Long-term User-Agent Interaction
Zhaopei Huang, Qifeng Dai, Guozheng Wu +7
With the rise of smart personal devices, service-oriented human-agent interactions have become increasingly prevalent. This trend highlights the need for personalized dialogue assi…
ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing
Liangyu Chen, Yichen Xu, Jianzhe Ma +5
Chart editing reduces manual effort in visualization design. Typical benchmarks limited in data diversity and assume access to complete chart code, which is seldom in real-world sc…
UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning
Liangyu Chen, Hanzhang Zhou, Chenglin Cai +10
GUI grounding, which maps natural-language instructions to actionable UI elements, is a core capability of GUI agents. Prior works largely treats instructions as a static proxy for…
ChartM: Benchmarking Chart Editing with Multimodal Instructions
Donglu Yang, Liang Zhang, Zihao Yue +4
Charts are a fundamental visualization format widely used in data analysis across research and industry. While enabling users to edit charts based on high-level intentions is of gr…
POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
Yichen Xu, Liangyu Chen, Liang Zhang +3
Charts are a universally adopted medium for data communication, yet existing chart understanding benchmarks are overwhelmingly English-centric, limiting their accessibility and rel…
IntentionESC: An Intention-Centered Framework for Enhancing Emotional Support in Dialogue Systems
Xinjie Zhang, Wenxuan Wang, Qin Jin
In emotional support conversations, unclear intentions can lead supporters to employ inappropriate strategies, inadvertently imposing their expectations or solutions on the seeker.…