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20192024
most citedImproving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

4 citations · 18 across the 19 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024★ 1 cited

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment

Kaishuai Xu, Yi Cheng, Wenjun Hou +2

Medical dialogue systems have attracted significant attention for their potential to act as medical assistants. Enabling these medical systems to emulate clinicians' diagnostic rea…

cs.CL2024★ 3 cited

AutoPal: Autonomous Adaptation to Users for Personal AI Companionship

Yi Cheng, Wenge Liu, Kaishuai Xu +6

Previous research has demonstrated the potential of AI agents to act as companions that can provide constant emotional support for humans. In this paper, we emphasize the necessity…

cs.CL2024

No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks

Chak Tou Leong, Yi Cheng, Kaishuai Xu +3

The existing safety alignment of Large Language Models (LLMs) is found fragile and could be easily attacked through different strategies, such as through fine-tuning on a few harmf…

cs.CV2024

ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation

Wenjun Hou, Yi Cheng, Kaishuai Xu +3

Previous research on radiology report generation has made significant progress in terms of increasing the clinical accuracy of generated reports. In this paper, we emphasize anothe…

cs.CL2024

Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis

Kaishuai Xu, Wenjun Hou, Yi Cheng +2

Medical dialogue systems have attracted growing research attention as they have the potential to provide rapid diagnoses, treatment plans, and health consultations. In medical dial…