667 citations · 1.2k across the 29 of their papers we have counts for
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Personalized Large Language Model Assistant with Evolving Conditional Memory
Ruifeng Yuan, Shichao Sun, Yongqi Li +3
With the rapid development of large language models, AI assistants like ChatGPT have become increasingly integrated into people's works and lives but are limited in personalized se…
KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model
Lei Geng, Xu Yan, Ziqiang Cao +6
Most biomedical pretrained language models are monolingual and cannot handle the growing cross-lingual requirements. The scarcity of non-English domain corpora, not to mention para…
RSpell: Retrieval-augmented Framework for Domain Adaptive Chinese Spelling Check
Siqi Song, Qi Lv, Lei Geng +2
Chinese Spelling Check (CSC) refers to the detection and correction of spelling errors in Chinese texts. In practical application scenarios, it is important to make CSC models have…
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
Yang Bai, Min Cao, Daming Gao +5
Text-based person search aims to retrieve the specified person images given a textual description. The key to tackling such a challenging task is to learn powerful multi-modal repr…
Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!
Zecheng Tang, Pinzheng Wang, Keyan Zhou +3
Diffusion models have been successfully adapted to text generation tasks by mapping the discrete text into the continuous space. However, there exist nonnegligible gaps between tra…
Text-based Person Search without Parallel Image-Text Data
Yang Bai, Jingyao Wang, Min Cao +4
Text-based person search (TBPS) aims to retrieve the images of the target person from a large image gallery based on a given natural language description. Existing methods are domi…
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening
Min Cao, Yang Bai, Jingyao Wang +3
Under the flourishing development in performance, current image-text retrieval methods suffer from -related time complexity, which hinders their application in practice. Targeti…