Paper-Conference

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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FollowupQG: Towards information-seeking follow-up question generation
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Investigating Zero- and Few-shot Generalization in Fact Verification
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Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
In sequential recommendation, multi-modal information (e.g., text or image) can provide a more comprehensive view of an item’s profile. …
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Fact-Checking Complex Claims with Program-Guided Reasoning
Fact-checking real-world claims often requires collecting multiple pieces of evidence and applying complex multi-step reasoning. In …
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Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation
A challenge in the Dialogue State Tracking (DST) field is adapting models to new domains without using any supervised data — …
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