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Argument Quality Assessment in the Age of Instruction-Following Large Language Models.

, , , , , , , and . LREC/COLING, page 1519-1538. ELRA and ICCL, (2024)

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Conditional Random Fields for Identifying Appropriate Types of Support for Propositions in Online User Comments., , and . ArgMining@HLT-NAACL, page 39-44. The Association for Computational Linguistics, (2015)Using SPM 12's Second-Level Bayesian Inference Procedure for fMRI Analysis: Practical Guidelines for End Users., and . Frontiers Neuroinformatics, (2018)Automated Fact-Checking of Claims from Wikipedia., , , , and . LREC, page 6874-6882. European Language Resources Association, (2020)Plug-and-Play Adaptation for Continuously-updated QA., , , , , and . ACL (Findings), page 438-447. Association for Computational Linguistics, (2022)Critic-Guided Decoding for Controlled Text Generation., , , , , and . ACL (Findings), page 4598-4612. Association for Computational Linguistics, (2023)Using Argumentative Structure to Interpret Debates in Online Deliberative Democracy and eRulemaking., , , , , and . ACM Trans. Internet Techn., 17 (3): 25:1-25:22 (2017)Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate., , and . ArgMining@EMNLP, page 1-11. Association for Computational Linguistics, (2021)Toward machine-assisted participation in eRulemaking: an argumentation model of evaluability., , and . ICAIL, page 206-210. ACM, (2015)Facilitative moderation for online participation in eRulemaking., , , , , and . DG.O, page 173-182. ACM, (2012)On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model., , , and . CoRR, (2023)