Search Results for author: Junpeng Liu

Found 7 papers, 1 papers with code

Summarizing Dialogues with Negative Cues

no code implementations COLING 2022 Junpeng Liu, Yanyan Zou, Yuxuan Xi, Shengjie Li, Mian Ma, Zhuoye Ding

In this work, rather than directly forcing a summarization system to merely pay more attention to the salient pieces, we propose to explicitly have the model perceive the redundant parts of an input dialogue history during the training phase.

Abstractive Dialogue Summarization

Lexicon-Based Graph Convolutional Network for Chinese Word Segmentation

no code implementations Findings (EMNLP) 2021 Kaiyu Huang, Hao Yu, Junpeng Liu, Wei Liu, Jingxiang Cao, Degen Huang

Experimental results on five benchmarks and four cross-domain datasets show the lexicon-based graph convolutional network successfully captures the information of candidate words and helps to improve performance on the benchmarks (Bakeoff-2005 and CTB6) and the cross-domain datasets (SIGHAN-2010).

Chinese Word Segmentation

VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?

no code implementations9 Apr 2024 Junpeng Liu, YiFan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue

Multimodal Large Language models (MLLMs) have shown promise in web-related tasks, but evaluating their performance in the web domain remains a challenge due to the lack of comprehensive benchmarks.

Optical Character Recognition (OCR)

Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

1 code implementation Findings (EMNLP) 2021 Junpeng Liu, Yanyan Zou, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan, Xiaojie Wang

To capture the various topic information of a conversation and outline salient facts for the captured topics, this work proposes two topic-aware contrastive learning objectives, namely coherence detection and sub-summary generation objectives, which are expected to implicitly model the topic change and handle information scattering challenges for the dialogue summarization task.

Abstractive Dialogue Summarization Contrastive Learning +3

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