2 citations · 3 across the 4 of their papers we have counts for
4 papers
Can Language Models Follow Multiple Turns of Entangled Instructions?
Chi Han, Xin Liu, Haodong Wang +12
Despite significant achievements in improving the instruction-following capabilities of large language models (LLMs), the ability to process multiple potentially entangled or confl…
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
Yuji Zhang, Sha Li, Cheng Qian +8
Hallucination is a persistent challenge in large language models (LLMs), where even with rigorous quality control, models often generate distorted facts. This paradox, in which err…
LDC: Learning to Generate Research Idea with Dynamic Control
Ruochen Li, Liqiang Jing, Chi Han +2
Recent advancements in large language models (LLMs) have demonstrated their potential in automating the scientific research ideation. Existing approaches primarily focus on prompti…
Team Intro to AI team8 at CoachAI Badminton Challenge 2023: Advanced ShuttleNet for Shot Predictions
Shih-Hong Chen, Pin-Hsuan Chou, Yong-Fu Liu +1
In this paper, our objective is to improve the performance of the existing framework ShuttleNet in predicting badminton shot types and locations by leveraging past strokes. We part…