19 citations · 32 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…