Papers with Response Generator

2 papers
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues (2020.emnlp-main)

Copied to clipboard

Challenge: Existing approaches to training dialogue agents separately are not optimized for multi-domain task-oriented dialogues.
Approach: They propose a unified neural architecture for end-to-end conversational systems in multi-domain task-oriented dialogues that jointly trains a bi-level state tracker and a joint dialogue act and response generator.
Outcome: The proposed system outperforms existing systems on the MultiWOZ2.1 benchmark in dialogue state tracking, context-to-text, and end-to end settings.
PsyProbe: Proactive and Interpretable Dialogue through User State Modeling for Exploratory Counseling (2026.findings-eacl)

Copied to clipboard

Challenge: Existing approaches to mental health dialogue are reactive and lack systematic user state modeling for proactive therapeutic exploration.
Approach: They propose a dialogue system designed for the exploration phase of counseling that systematically tracks user psychological states through the PPPPPI framework augmented with cognitive error detection.
Outcome: The proposed system outperforms baseline and ablation modes in automatic evaluation and expert evaluation by a certified counselor.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations