22 citations · 28 across the 5 of their papers we have counts for
5 papers
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models
Jiexin Wang, Adam Jatowt, Yi Cai
In the evolving field of Natural Language Processing (NLP), understanding the temporal context of text is increasingly critical for applications requiring advanced temporal reasoni…
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation
Li Yuan, Yi Cai, Haopeng Ren +1
Generating coherent and credible explanations remains a significant challenge in the field of AI. In recent years, researchers have delved into the utilization of entailment trees…
Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation
Jiexin Wang, Liuwen Cao, Xitong Luo +4
Large language models (LLMs) have brought significant advancements to code generation, benefiting both novice and experienced developers. However, their training using unsanitized…
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa +1
Time is an important aspect of documents and is used in a range of NLP and IR tasks. In this work, we investigate methods for incorporating temporal information during pre-training…
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News Collections
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
In the last few years, open-domain question answering (ODQA) has advanced rapidly due to the development of deep learning techniques and the availability of large-scale QA datasets…