Paper-Conference

ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Question
Mathematical questioning is crucial for assessing students problem-solving skills. Since manually creating such questions requires …
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CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
Annotated data plays a critical role in Natural Language Processing (NLP) in training models and evaluating their performance. Given …
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CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability
We present a novel toolkit for controlled summarization of scientific documents, designed for the specific needs of the scientific …
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Doolittle: Benchmarks and Corpora for Academic Writing Formalization
Improving the quality of academic writing is a meaningful but challenging task. Conventional methods of language refinement focus on …
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ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning
We introduce ECHo (Event Causality Inference via Human-Centric Reasoning), a diagnostic dataset of event causality inference grounded …
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On the Risk of Misinformation Pollution with Large Language Models
We investigate the potential misuse of modern Large Language Models (LLMs) for generating credible-sounding misinformation and its …
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QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
Fact-checking real-world claims often requires intricate, multi-step reasoning due to the absence of direct evidence to support or …
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SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
Current scientific fact-checking benchmarks exhibit several shortcomings, such as biases arising from crowd-sourced claims and an …
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The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
We present ACL OCL, a scholarly corpus derived from the ACL Anthology to assist Open scientific research in the Computational …
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Attacking Open-domain Question Answering by Injecting Misinformation
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