activity
19982024
most citedFinding Deceptive Opinion Spam by Any Stretch of the Imagination

687 citations · 1.5k across the 51 of their papers we have counts for

collaborators

52 papers

cs.CL2024★ 10 cited

WildChat: 1M ChatGPT Interaction Logs in the Wild

Wenting Zhao, Xiang Ren, Jack Hessel +3

Chatbots such as GPT-4 and ChatGPT are now serving millions of users. Despite their widespread use, there remains a lack of public datasets showcasing how these tools are used by a…

cs.CL2023

Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations

Wenting Zhao, Justin T. Chiu, Claire Cardie +1

Abductive reasoning aims to find plausible explanations for an event. This style of reasoning is critical for commonsense tasks where there are often multiple plausible explanation…

cs.CL2023

HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision

Wenting Zhao, Justin T. Chiu, Claire Cardie +1

Explainable multi-hop question answering (QA) not only predicts answers but also identifies rationales, i. e. subsets of input sentences used to derive the answers. This problem ha…

cs.CL2022★ 8 cited

Automatic Error Analysis for Document-level Information Extraction

Aliva Das, Xinya Du, Barry Wang +4

Document-level information extraction (IE) tasks have recently begun to be revisited in earnest using the end-to-end neural network techniques that have been successful on their se…

cs.CL2022

Compositional Task-Oriented Parsing as Abstractive Question Answering

Wenting Zhao, Konstantine Arkoudas, Weiqi Sun +1

Task-oriented parsing (TOP) aims to convert natural language into machine-readable representations of specific tasks, such as setting an alarm. A popular approach to TOP is to appl…

cs.LG2021

When in Doubt: Improving Classification Performance with Alternating Normalization

Menglin Jia, Austin Reiter, Ser-Nam Lim +2

We introduce Classification with Alternating Normalization (CAN), a non-parametric post-processing step for classification. CAN improves classification accuracy for challenging exa…