most citedTransparent and Scrutable Recommendations Using Natural Language User Profiles

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

1 paper · 1 filter

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).…