19 citations · 32 across the 8 of their papers we have counts for
8 papers
Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning
Tong Li, Jiachuan Wang, Yongqi Zhang +2
Citation classification, which identifies the intention behind academic citations, is pivotal for scholarly analysis. Previous works suggest fine-tuning pretrained language models…
Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference
Qingfa Xiao, Jiachuan Wang, Haoyang Li +6
Recent advances in large language models (LLMs) have showcased exceptional performance in long-context tasks, while facing significant inference efficiency challenges with limited…
R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
Fuda Ye, Shuangyin Li, Yongqi Zhang +1
Retrieval augmented generation (RAG) has been applied in many scenarios to augment large language models (LLMs) with external documents provided by retrievers. However, a semantic…
BoostER: Leveraging Large Language Models for Enhancing Entity Resolution
Huahang Li, Shuangyin Li, Fei Hao +3
Entity resolution, which involves identifying and merging records that refer to the same real-world entity, is a crucial task in areas like Web data integration. This importance is…
S-DMs:Skip-Step Diffusion Models
Yixuan Wang, Shuangyin Li
Diffusion models have emerged as powerful generative tools, rivaling GANs in sample quality and mirroring the likelihood scores of autoregressive models. A subset of these models,…
On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach
Huahang Li, Longyu Feng, Shuangyin Li +3
Entity resolution, the task of identifying and merging records that refer to the same real-world entity, is crucial in sectors like e-commerce, healthcare, and law enforcement. Lar…
Single-Cell RNA-seq Synthesis with Latent Diffusion Model
Yixuan Wang, Shuangyin Li, Shimin DI +1
The single-cell RNA sequencing (scRNA-seq) technology enables researchers to study complex biological systems and diseases with high resolution. The central challenge is synthesizi…
Topic-DPR: Topic-based Prompts for Dense Passage Retrieval
Qingfa Xiao, Shuangyin Li, Lei Chen
Prompt-based learning's efficacy across numerous natural language processing tasks has led to its integration into dense passage retrieval. Prior research has mainly focused on enh…