4 citations · 5 across the 5 of their papers we have counts for
5 papers
Preference is More Than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback
Shengbo Wang, Hong Sun, Ke Li
Interactive preference elicitation (IPE) aims to substantially reduce human effort while acquiring human preferences in wide personalization systems. Dueling bandit (DB) algorithms…
Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
Zefeng Qian, Xincheng Yao, Yifei Huang +3
Few-shot action recognition (FSAR) aims to classify human actions in videos with only a small number of labeled samples per category. The scarcity of training data has driven recen…
WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models
Guitao Chen, Yunshen Wang, Hongye Sun +1
Generative language models (LMs) offer numerous advantages but may produce inappropriate or harmful outputs due to the harmful knowledge acquired during pre-training. This knowledg…
AutoHint: Automatic Prompt Optimization with Hint Generation
Hong Sun, Xue Li, Yinchuan Xu +5
This paper presents AutoHint, a novel framework for automatic prompt engineering and optimization for Large Language Models (LLM). While LLMs have demonstrated remarkable ability i…
AutoADR: Automatic Model Design for Ad Relevance
Yiren Chen, Yaming Yang, Hong Sun +7
Large-scale pre-trained models have attracted extensive attention in the research community and shown promising results on various tasks of natural language processing. However, th…