67 citations · 104 across the 5 of their papers we have counts for
5 papers
TRE: Encouraging Exploration in the Trust Region
Chao Huang, Yujing Lu, Quangang Li +8
Entropy regularization is a standard technique in reinforcement learning (RL) to enhance exploration, yet it yields negligible effects or even degrades performance in Large Languag…
Safety Alignment Should Be Made More Than Just A Few Attention Heads
Chao Huang, Zefeng Zhang, Juewei Yue +3
Current safety alignment for large language models(LLMs) continues to present vulnerabilities, given that adversarial prompting can effectively bypass their safety measures.Our inv…
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
Xiaodong Li, Jiawei Sheng, Jiangxia Cao +3
Cross-domain recommendation (CDR) has been proven as a promising way to tackle the user cold-start problem, which aims to make recommendations for users in the target domain by tra…
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck
Shiyao Cui, Jiangxia Cao, Xin Cong +4
This paper studies the multimodal named entity recognition (MNER) and multimodal relation extraction (MRE), which are important for multimedia social platform analysis. The core of…
Event Causality Extraction with Event Argument Correlations
Shiyao Cui, Jiawei Sheng, Xin Cong +3
Event Causality Identification (ECI), which aims to detect whether a causality relation exists between two given textual events, is an important task for event causality understand…