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Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases.

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CaM-Gen: Causally-aware Metric-guided Text Generation., , , , , and . CoRR, (2020)CaM-Gen: Causally Aware Metric-Guided Text Generation., , , , , and . ACL (Findings), page 2047-2060. Association for Computational Linguistics, (2022)What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems., , , , , , , , and . EMNLP, page 3313-3330. Association for Computational Linguistics, (2023)Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences., , and . EMNLP, page 11220-11237. Association for Computational Linguistics, (2023)Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong., , , , , , and . CoRR, (2023)What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems., , , , , , , , and . CoRR, (2023)Multi-dimensional Style Transfer for Partially Annotated Data using Language Models as Discriminators., , , and . CoRR, (2020)Factual or Contextual? Disentangling Error Types in Entity Description Generation., , and . ACL (1), page 8322-8340. Association for Computational Linguistics, (2023)The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features., , , and . IUI, page 155-180. ACM, (2024)Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases., , , , , , and . CoRR, (2022)