16 citations · 22 across the 11 of their papers we have counts for
11 papers
DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generation
Chen Xu, Tian Lan, Yu Ji +8
Constrained decoding approaches aim to control the meaning or style of text generated by the pre-trained large language models (LLMs or also PLMs) for various tasks at inference ti…
Punctuation Matters! Stealthy Backdoor Attack for Language Models
Xuan Sheng, Zhicheng Li, Zhaoyang Han +2
Recent studies have pointed out that natural language processing (NLP) models are vulnerable to backdoor attacks. A backdoored model produces normal outputs on the clean samples wh…
COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas
Chen Xu, Piji Li, Wei Wang +3
Maintaining a consistent persona is essential for building a human-like conversational model. However, the lack of attention to the partner makes the model more egocentric: they te…
Event Transition Planning for Open-ended Text Generation
Qintong Li, Piji Li, Wei Bi +3
Open-ended text generation tasks, such as dialogue generation and story completion, require models to generate a coherent continuation given limited preceding context. The open-end…
"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction
Yong Dai, Linyang Li, Cong Zhou +5
Whole word masking (WWM), which masks all subwords corresponding to a word at once, makes a better English BERT model. For the Chinese language, however, there is no subword becaus…
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
Haoran Yang, Wai Lam, Piji Li
Exemplar-Guided Paraphrase Generation (EGPG) aims to generate a target sentence which conforms to the style of the given exemplar while encapsulating the content information of the…
Sentence Semantic Regression for Text Generation
Wei Wang, Piji Li, Hai-Tao Zheng
Recall the classical text generation works, the generation framework can be briefly divided into two phases: \textbf{idea reasoning} and \textbf{surface realization}. The target of…
Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization
Wang Chen, Piji Li, Hou Pong Chan +1
Dialogue summarization aims to generate a summary that indicates the key points of a given dialogue. In this work, we propose an end-to-end neural model for dialogue summarization…
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang, Ning Ding, Piji Li +1
Despite pre-trained language models have proven useful for learning high-quality semantic representations, these models are still vulnerable to simple perturbations. Recent works a…
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
Wang Chen, Piji Li, Irwin King
In recent years, reference-based and supervised summarization evaluation metrics have been widely explored. However, collecting human-annotated references and ratings are costly an…
Knowledge Bridging for Empathetic Dialogue Generation
Qintong Li, Piji Li, Zhaochun Ren +2
Lack of external knowledge makes empathetic dialogue systems difficult to perceive implicit emotions and learn emotional interactions from limited dialogue history. To address the…