most citedMETRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals

19 citations · 43 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR20225 cited

ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information

Arnold Overwijk, Chenyan Xiong, Xiao Liu +2

ClueWeb22, the newest iteration of the ClueWeb line of datasets, provides 10 billion web pages affiliated with rich information. Its design was influenced by the need for a high qu…

cs.CL202211 cited

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

Yue Yu, Chenyan Xiong, Si Sun +2

We present a new zero-shot dense retrieval (ZeroDR) method, COCO-DR, to improve the generalization ability of dense retrieval by combating the distribution shifts between source tr…

cs.CL2022

Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives

Si Sun, Chenyan Xiong, Yue Yu +3

In this paper, we investigate the instability in the standard dense retrieval training, which iterates between model training and hard negative selection using the being-trained mo…

cs.LG202219 cited

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals

Payal Bajaj, Chenyan Xiong, Guolin Ke +7

We present an efficient method of pretraining large-scale autoencoding language models using training signals generated by an auxiliary model. Originated in ELECTRA, this training…

cs.CL20222 cited

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

Yu Meng, Chenyan Xiong, Payal Bajaj +4

We present a new framework AMOS that pretrains text encoders with an Adversarial learning curriculum via a Mixture Of Signals from multiple auxiliary generators. Following ELECTRA-…

cs.IR20225 cited

Neural Approaches to Conversational Information Retrieval

Jianfeng Gao, Chenyan Xiong, Paul Bennett +1

A conversational information retrieval (CIR) system is an information retrieval (IR) system with a conversational interface which allows users to interact with the system to seek i…