45 citations · 150 across the 11 of their papers we have counts for
11 papers
Bidirectional Chinese and English Passive Sentences Dataset for Machine Translation
Xinyue Ma, Pol Pastells, Mireia Farrús +1
Machine Translation (MT) evaluation has gone beyond metrics, towards more specific linguistic phenomena. Regarding English-Chinese language pairs, passive sentences are constructed…
Model Editing for New Document Integration in Generative Information Retrieval
Zhen Zhang, Zihan Wang, Xinyu Ma +6
Generative retrieval (GR) reformulates the Information Retrieval (IR) task as the generation of document identifiers (docIDs). Despite its promise, existing GR models exhibit poor…
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval
Xiaojie Sun, Keping Bi, Jiafeng Guo +5
Grounded on pre-trained language models (PLMs), dense retrieval has been studied extensively on plain text. In contrast, there has been little research on retrieving data with mult…
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Weiwei Sun, Lingyong Yan, Xinyu Ma +5
Large Language Models (LLMs) have demonstrated remarkable zero-shot generalization across various language-related tasks, including search engines. However, existing work utilizes…
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval
Xinyu Ma, Jiafeng Guo, Ruqing Zhang +2
Pre-training and fine-tuning have achieved significant advances in the information retrieval (IR). A typical approach is to fine-tune all the parameters of large-scale pre-trained…
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval
Xinyu Ma, Ruqing Zhang, Jiafeng Guo +2
Dense retrieval (DR) has shown promising results in information retrieval. In essence, DR requires high-quality text representations to support effective search in the representati…
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Xinyu Ma, Jiafeng Guo, Ruqing Zhang +2
Dense retrieval has shown promising results in many information retrieval (IR) related tasks, whose foundation is high-quality text representation learning for effective search. So…
Pre-training Methods in Information Retrieval
Yixing Fan, Xiaohui Xie, Yinqiong Cai +5
The core of information retrieval (IR) is to identify relevant information from large-scale resources and return it as a ranked list to respond to the user's information need. In r…
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Xinyu Ma, Jiafeng Guo, Ruqing Zhang +3
Pre-training and fine-tuning have achieved remarkable success in many downstream natural language processing (NLP) tasks. Recently, pre-training methods tailored for information re…
A Linguistic Study on Relevance Modeling in Information Retrieval
Yixing Fan, Jiafeng Guo, Xinyu Ma +3
Relevance plays a central role in information retrieval (IR), which has received extensive studies starting from the 20th century. The definition and the modeling of relevance has…
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Xinyu Ma, Jiafeng Guo, Ruqing Zhang +3
Recently pre-trained language representation models such as BERT have shown great success when fine-tuned on downstream tasks including information retrieval (IR). However, pre-tra…