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Papers
Mind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs
ACL 2026
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos
ICCV 2023
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions
ACL 2023
Using In-Context Learning to Improve Dialogue Safety
EMNLP 2023
C3KG: A Chinese Commonsense Conversation Knowledge Graph
ACL 2022
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
NAACL 2022
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark
ACL 2022
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog
EMNLP 2021
The Adapter-Bot: All-In-One Controllable Conversational Model
AAAI 2021
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
EMNLP 2020
Plug-and-Play Conversational Models
EMNLP 2020
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
AAAI 2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
ACL 2020
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations
ACL 2020
Towards Persona-Based Empathetic Conversational Models
EMNLP 2020
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss
AAAI 2019
Improving Neural Conversational Models with Entropy-Based Data Filtering
ACL 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
ACL 2019
Adaboost with Auto-Evaluation for Conversational Models
IJCAI 2018
Concorde: Morphological Agreement in Conversational Models
ACML 2018
Extending Neural Generative Conversational Model using External Knowledge Sources
EMNLP 2018
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
NeurIPS 2018
Learning to Control the Specificity in Neural Response Generation
ACL 2018