activity
20222026
most citedUnstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey

21 citations · 56 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

10 papers · 1 filter

cs.CL2026

PolyAlign: Conditional Human-Distribution Alignment

L. D. M. S. Sai Teja, Ufaq Khan, Sathira Silva +2

Post-training methods such as supervised fine-tuning (SFT) and preference optimization typically align language models toward a single global assistant behavior. While effective fo…

cs.CL202421 cited

Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey

Longxuan Ma, Mingda Li, Weinan Zhang +2

Incorporating external knowledge into dialogue generation has been proven to benefit the performance of an open-domain Dialogue System (DS), such as generating informative or styli…

cs.CL202415 cited

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation

Wei-Nan Zhang, Yiming Cui, Kaiyan Zhang +4

Recently, research on open domain dialogue systems have attracted extensive interests of academic and industrial researchers. The goal of an open domain dialogue system is to imita…

cs.CL2024

Visualizing attention zones in machine reading comprehension models

Yiming Cui, Wei-Nan Zhang, Ting Liu

The attention mechanism plays an important role in the machine reading comprehension (MRC) model. Here, we describe a pipeline for building an MRC model with a pretrained language…

cs.CL20245 cited

A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation

Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang +1

With the resurgent interest in building open-domain dialogue systems, the dialogue generation task has attracted increasing attention over the past few years. This task is usually…

cs.CL20241 cited

Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue

Longxuan Ma, Jiapeng Li, Mingda Li +2

Document-grounded dialogue (DGD) uses documents as external knowledge for dialogue generation. Correctly understanding the dialogue context is crucial for selecting knowledge from…