972 citations · 1.2k across the 31 of their papers we have counts for
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iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models
Jiahao Li, Zhourun Wu, Wenhao Lin +4
Motivation: Enhancers are important cis-regulatory elements that regulate a wide range of biological functions and enhance the transcription of target genes. Although many feature…
SeDR: Segment Representation Learning for Long Documents Dense Retrieval
Junying Chen, Qingcai Chen, Dongfang Li +1
Recently, Dense Retrieval (DR) has become a promising solution to document retrieval, where document representations are used to perform effective and efficient semantic search. Ho…
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Dongfang Li, Baotian Hu, Qingcai Chen
Calibration strengthens the trustworthiness of black-box models by producing better accurate confidence estimates on given examples. However, little is known about if model explana…
Prompt-based Text Entailment for Low-Resource Named Entity Recognition
Dongfang Li, Baotian Hu, Qingcai Chen
Pre-trained Language Models (PLMs) have been applied in NLP tasks and achieve promising results. Nevertheless, the fine-tuning procedure needs labeled data of the target domain, ma…
A Survey on Table Question Answering: Recent Advances
Nengzheng Jin, Joanna Siebert, Dongfang Li +1
Table Question Answering (Table QA) refers to providing precise answers from tables to answer a user's question. In recent years, there have been a lot of works on table QA, but th…
Medical Dialogue Response Generation with Pivotal Information Recalling
Yu Zhao, Yunxin Li, Yuxiang Wu +5
Medical dialogue generation is an important yet challenging task. Most previous works rely on the attention mechanism and large-scale pretrained language models. However, these met…