Deguang Kong — accepted AI-conference papers

2023

Language Agnostic Multilingual Information Retrieval with Contrastive Learning

Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang +1

ACL 2023findings

Multilingual information retrieval (IR) is challenging since annotated training data is costly to obtain in many languages. We present an effective method to train multilingual IR systems when only English IR training data and some parallel corpora between English and other languages are available.…

Cited by 12 Source ↗PDF ↗code ↗Scholar ↗

2023

STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong +7

ICLR 2023top-25%

We introduce STREET, a unified multi-task and multi-domain natural language reasoning and explanation benchmark. Unlike most existing question-answering (QA) datasets, we expect models to not only answer questions, but also produce step-by-step structured explanations describing how premises in the…

Cited by 27 Source ↗PDF ↗Scholar ↗