T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts.
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CoRR, 2024
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?
CoRR, 2024
Large Language Models Know What Makes Exemplary Contexts.
CoRR, 2024
Decomposing Label Space, Format and Discrimination: Rethinking How LLMs Respond and Solve Tasks via In-Context Learning.
CoRR, 2024
Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation.
CoRR, 2024
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Generative Imagination Elevates Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
QA4IE: A Question Answering Based System for Document-Level General Information Extraction.
IEEE Access, 2020
On the Robustness of Language Encoders against Grammatical Errors.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020