11 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.CL2023★ 11 cited
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Keheng Wang, Feiyu Duan, Sirui Wang +5
Equipped with Chain-of-Thought (CoT), Large language models (LLMs) have shown impressive reasoning ability in various downstream tasks. Even so, suffering from hallucinations and t…
cs.IR2022★ 2 cited
Causal Intervention for Fairness in Multi-behavior Recommendation
Xi Wang, Wenjie Wang, Fuli Feng +3
Recommender systems usually learn user interests from various user behaviors, including clicks and post-click behaviors (e.g., like and favorite). However, these behaviors inevitab…
cs.HC2010
Contextual Mobile Learning Strongly Related to Industrial Activities: Principles and Case Study
Bertrand David, Chuantao Yin, René Chalon
M-learning (mobile learning) can take various forms. We are interested in contextualized M-learning, i.e. the training related to the situation physically or logically localized. C…