1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation
Junqing He, Liang Zhu, Rui Wang +3
Long-term memory is important for chatbots and dialogue systems (DS) to create consistent and human-like conversations, evidenced by numerous developed memory-augmented DS (MADS).…
cs.IR2024★ 1 cited
Transparent and Scrutable Recommendations Using Natural Language User Profiles
Jerome Ramos, Hossen A. Rahmani, Xi Wang +2
Recent state-of-the-art recommender systems predominantly rely on either implicit or explicit feedback from users to suggest new items. While effective in recommending novel option…