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20212024
most citedA Dataset for Answering Time-Sensitive Questions

37 citations · 47 across the 7 of their papers we have counts for

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cs.CL202323 cited

Interactive Natural Language Processing

Zekun Wang, Ge Zhang, Kexin Yang +19

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with t…

cs.CL2023

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

Alfonso Amayuelas, Kyle Wong, Liangming Pan +2

This paper investigates the capabilities of Large Language Models (LLMs) in the context of understanding their knowledge and uncertainty over questions. Specifically, we focus on a…

cs.CL2023

On the Risk of Misinformation Pollution with Large Language Models

Yikang Pan, Liangming Pan, Wenhu Chen +3

In this paper, we comprehensively investigate the potential misuse of modern Large Language Models (LLMs) for generating credible-sounding misinformation and its subsequent impact…

cs.CL2022

HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data

Kai Nakamura, Sharon Levy, Yi-Lin Tuan +2

A pressing challenge in current dialogue systems is to successfully converse with users on topics with information distributed across different modalities. Previous work in multitu…

cs.CL202137 cited

A Dataset for Answering Time-Sensitive Questions

Wenhu Chen, Xinyi Wang, William Yang Wang

Time is an important dimension in our physical world. Lots of facts can evolve with respect to time. For example, the U.S. President might change every four years. Therefore, it is…

cs.CL2021

A Systematic Investigation of KB-Text Embedding Alignment at Scale

Vardaan Pahuja, Yu Gu, Wenhu Chen +4

Knowledge bases (KBs) and text often contain complementary knowledge: KBs store structured knowledge that can support long range reasoning, while text stores more comprehensive and…