activity
20192025
most citedSiren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

244 citations · 446 across the 35 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CL2020★ 4 cited

Natural Language Inference in Context -- Investigating Contextual Reasoning over Long Texts

Hanmeng Liu, Leyang Cui, Jian Liu +1

Natural language inference (NLI) is a fundamental NLP task, investigating the entailment relationship between two texts. Popular NLI datasets present the task at sentence-level. Wh…

cs.AI2020★ 1 cited

Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning

Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari +2

A compelling approach to complex question answering is to convert the question to a sequence of actions, which can then be executed on the knowledge base to yield the answer, aka t…

cs.CL2020

Does Chinese BERT Encode Word Structure?

Yile Wang, Leyang Cui, Yue Zhang

Contextualized representations give significantly improved results for a wide range of NLP tasks. Much work has been dedicated to analyzing the features captured by representative…

cs.CL2020★ 2 cited

What Have We Achieved on Text Summarization?

Dandan Huang, Leyang Cui, Sen Yang +4

Deep learning has led to significant improvement in text summarization with various methods investigated and improved ROUGE scores reported over the years. However, gaps still exis…

cs.CL2020

On Commonsense Cues in BERT for Solving Commonsense Tasks

Leyang Cui, Sijie Cheng, Yu Wu +1

BERT has been used for solving commonsense tasks such as CommonsenseQA. While prior research has found that BERT does contain commonsense information to some extent, there has been…

cs.CL2020★ 2 cited

MuTual: A Dataset for Multi-Turn Dialogue Reasoning

Leyang Cui, Yu Wu, Shujie Liu +2

Non-task oriented dialogue systems have achieved great success in recent years due to largely accessible conversation data and the development of deep learning techniques. Given a…