Zhao Cao

Rethinking Dense Retrieval's Few-Shot Ability

2023 · arXiv (Cornell University)

Few-shot dense retrieval (DR) aims to effectively generalize to novel search scenarios by learning a few samples. Despite its importance, there is little study on specialized datasets and standardized evaluation protocols. As a result, current …

SSP: Self-Supervised Post-training for Conversational Search

2023

Conversational search has been regarded as the next-generation search paradigm.Constrained by data scarcity, most existing methods distill the well-trained ad-hoc retriever to the conversational retriever.However, these methods, which usually initialize parameters by query reformulation to …

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining

2023

Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

ICLEval: Evaluating In-Context Learning Ability of Large Language Models

2024 · arXiv (Cornell University)

In-Context Learning (ICL) is a critical capability of Large Language Models (LLMs) as it empowers them to comprehend and reason across interconnected inputs. Evaluating the ICL ability of LLMs can enhance their utilization and deepen …