Paper-Conference

ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning
A visio-linguistic dataset and chain-of-thought framework for human-centric event causality inference.
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ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning
On the Risk of Misinformation Pollution with Large Language Models
An analysis of how LLM-generated misinformation can harm QA systems, with mitigation strategies.
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On the Risk of Misinformation Pollution with Large Language Models
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
A question-guided multi-hop fact-checking demo system that explains its reasoning through Q&A traces.
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QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
A scientific table benchmark for compositional reasoning and claim verification.
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SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
An ACL Anthology-derived corpus that adds PDFs, figures, links, and metadata to support open science in computational linguistics.
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The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
Attacking Open-domain Question Answering by Injecting Misinformation
A study showing that misinformation injection can seriously degrade open-domain QA and outlining defenses.
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Attacking Open-domain Question Answering by Injecting Misinformation
FollowupQG: Towards information-seeking follow-up question generation
A dataset and benchmark for generating information-seeking follow-up questions from real-world conversations.
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FollowupQG: Towards information-seeking follow-up question generation
Investigating Zero- and Few-shot Generalization in Fact Verification
A benchmark study of zero- and few-shot fact verification generalization across domains.
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Investigating Zero- and Few-shot Generalization in Fact Verification
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
A graph-based multimodal recommender that adaptively fuses modality signals across a user’s interaction sequence.
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Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
Fact-Checking Complex Claims with Program-Guided Reasoning
A program-guided fact-checking model that decomposes complex claims into executable sub-tasks.
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Fact-Checking Complex Claims with Program-Guided Reasoning