activity
20192025
most citedProactive Human-Machine Conversation with Explicit Conversation Goals

40 citations · 96 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

VideoVerse: Does Your T2V Generator Have World Model Capability to Synthesize Videos?

Zeqing Wang, Xinyu Wei, Bairui Li +5

The recent rapid advancement of Text-to-Video (T2V) generation technologies are engaging the trained models with more world model ability, making the existing benchmarks increasing…

cs.CL2023★ 11 cited

Improving Small Language Models on PubMedQA via Generative Data Augmentation

Zhen Guo, Peiqi Wang, Yanwei Wang +1

Large Language Models (LLMs) have made remarkable advancements in the field of natural language processing. However, their increasing size poses challenges in terms of computationa…

cs.CL2022★ 1 cited

CDConv: A Benchmark for Contradiction Detection in Chinese Conversations

Chujie Zheng, Jinfeng Zhou, Yinhe Zheng +6

Dialogue contradiction is a critical issue in open-domain dialogue systems. The contextualization nature of conversations makes dialogue contradiction detection rather challenging.…

cs.CL2022

Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes

Hua Lu, Zhen Guo, Chanjuan Li +3

In recent years, Internet memes have been widely used in online chatting. Compared with text-based communication, conversations become more expressive and attractive when Internet…

cs.CL2021★ 17 cited

PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation

Siqi Bao, Huang He, Fan Wang +11

To explore the limit of dialogue generation pre-training, we present the models of PLATO-XL with up to 11 billion parameters, trained on both Chinese and English social media conve…

cs.CL2020★ 27 cited

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

Siqi Bao, Huang He, Fan Wang +6

To build a high-quality open-domain chatbot, we introduce the effective training process of PLATO-2 via curriculum learning. There are two stages involved in the learning process.…

cs.CL2019★ 40 cited

Proactive Human-Machine Conversation with Explicit Conversation Goals

Wenquan Wu, Zhen Guo, Xiangyang Zhou +4

Though great progress has been made for human-machine conversation, current dialogue system is still in its infancy: it usually converses passively and utters words more as a matte…