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Kristen Johnson

18 papers · 2016–2025 · 6 venues · across top CS/AI venues

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+8 more ↓ 🗺️ Taxonomy Completionist (34) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🏆 Keyword Champion 🧭 Keyword Pioneer 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (90)

Papers

A Survey to Recent Progress Towards Understanding In-Context Learning NAACL 2025 Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization EMNLP 2025 Discourse Heuristics For Paradoxically Moral Self-Correction EMNLP 2025 Korean Stereotype Content Model: Translating Stereotypes Across Cultures NAACL 2025 Moral Self-correction is Not An Innate Capability in Language Models IJCNLP 2025 MRS at SemEval-2025 Task 11: A Hybrid Approach for Bridging the Gap in Text-Based Emotion Detection SemEval 2025 On the Convergence of Moral Self-Correction in Large Language Models IJCNLP 2025 Smaller Large Language Models Can Do Moral Self-Correction NAACL 2025 ABLE: Agency-BeLiefs Embedding to Address Stereotypical Bias through Awareness Instead of Obliviousness COLING 2024 Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis EMNLP 2024 Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness ACL 2024 PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent EMNLP 2023 Cryptocurrency Day Trading and Framing Prediction in Microblog Discourse EMNLP 2021 Using Social Media For Bitcoin Day Trading Behavior Prediction ACL 2020 Modeling Behavioral Aspects of Social Media Discourse for Moral Classification NAACL 2019 Classification of Moral Foundations in Microblog Political Discourse ACL 2018 Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter ACL 2017 “All I know about politics is what I read in Twitter”: Weakly Supervised Models for Extracting Politicians’ Stances From Twitter COLING 2016