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20162025
most citedAutomatic Detection of Fake News

379 citations · 587 across the 58 of their papers we have counts for

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Showing 2023 · cs.CLShow all

11 papers · 2 filters

cs.CL2023

Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond

Siyang Liu, Naihao Deng, Sahand Sabour +3

We propose task-adaptive tokenization as a way to adapt the generation pipeline to the specifics of a downstream task and enhance long-form generation in mental health. Inspired by…

cs.CL2023★ 43 cited

Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks

Panfeng Li, Mohamed Abouelenien, Rada Mihalcea +3

Deception detection is gaining increasing interest due to ethical and security concerns. This paper explores the application of convolutional neural networks for the purpose of mul…

cs.CL2023

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing

Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow +1

Reflective listening is a fundamental skill that counselors must acquire to achieve proficiency in motivational interviewing (MI). It involves responding in a manner that acknowled…

cs.CL2023★ 1 cited

HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models

Yinghui He, Yufan Wu, Yilin Jia +3

Theory of Mind (ToM) is the ability to reason about one's own and others' mental states. ToM plays a critical role in the development of intelligence, language understanding, and c…

cs.CL2023★ 24 cited

Can Large Language Models Infer Causation from Correlation?

Zhijing Jin, Jiarui Liu, Zhiheng Lyu +5

Causal inference is one of the hallmarks of human intelligence. While the field of CausalNLP has attracted much interest in the recent years, existing causal inference datasets in…

cs.CL2023★ 1 cited

Psychologically-Inspired Causal Prompts

Zhiheng Lyu, Zhijing Jin, Justus Mattern +3

NLP datasets are richer than just input-output pairs; rather, they carry causal relations between the input and output variables. In this work, we take sentiment classification as…