Search Results - "Muresan, Smaranda"

Sarcasm Analysis Using Conversation Context by Ghosh, Debanjan, Fabbri, Alexander R., Muresan, Smaranda

“…Computational models for sarcasm detection have often relied on the content of utterances in isolation. However, the speaker’s sarcastic intent is not always…”
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Identification of nonliteral language in social media: A case study on sarcasm by Muresan, Smaranda, Gonzalez-Ibanez, Roberto, Ghosh, Debanjan, Wacholder, Nina

“…With the rapid development of social media, spontaneously user‐generated content such as tweets and forum posts have become important materials for tracking…”
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FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context by Ananthram, Amith, Winn, Olivia, Muresan, Smaranda

“…While the link between color and emotion has been widely studied, how context-based changes in color impact the intensity of perceived emotions is not well…”
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Analytical Techniques for Developing Argumentative Writing in STEM: A Pilot Study by Davies, Patricia Marybelle, Passonneau, Rebecca Jane, Muresan, Smaranda, Gao, Yanjun

“…Contribution: Demonstrates how to use experiential learning (EL) to improve argumentative writing. Presents the design and development of a natural language…”
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ChangeMyView Through Concessions: Do Concessions Increase Persuasion? by Musi, Elena, Ghosh, Debanjan, Muresan, Smaranda

“…In Discourse Studies concessions are considered among those argumentative strategies that increase persuasion. We aim to empirically test this hypothesis by…”
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Harnessing the Power of Social Media to Understand the Impact of COVID-19 on People Who Use Drugs During Lockdown and Social Distancing by El-Bassel, Nabila, Hochstatter, Karli R., Slavin, Melissa N., Yang, Chenghao, Zhang, Yudong, Muresan, Smaranda

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Harnessing the Power of Social Media to Understand the Impact of COVID-19 on People Who Use Drugs During Lockdown and Social Distancing by El-Bassel, Nabila, Hochstatter, Karli R., Slavin, Melissa N., Yang, Chenghao, Zhang, Yudong, Muresan, Smaranda

“…This paper uses a social media platform, Reddit, to identify real-time experiences of people who use drugs during the COVID-19 lock-down. Reddit is a popular…”
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ChangeMyView Through Concessions: Do Concessions Increase Persuasion? by Musi, Elena, Ghosh, Debanjan, Muresan, Smaranda

“…In Discourse Studies concessions are considered among those argumentative strategies that increase persuasion. We aim to empirically test this hypothesis by…”
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Preface: Special Issue on Multidisciplinary Approaches to AI and Education for Reading and Writing by Passonneau, Rebecca J., McNamara, Danielle, Muresan, Smaranda, Perin, Dolores

“…Reading and Writing for STEM Subjects The paper by Barstow et al. presents a study of college-level writing instruction designed to fill gaps in research…”
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ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer by Saakyan, Arkadiy, Muresan, Smaranda

“…While state-of-the-art large language models (LLMs) can excel at adapting text from one style to another, current work does not address the explainability of…”
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"Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline by Li, Grace, Alshomary, Milad, Muresan, Smaranda

“…Explanations form the foundation of knowledge sharing and build upon communication principles, social dynamics, and learning theories. We focus specifically on…”
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Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition by Alhindi, Tariq, Muresan, Smaranda, Nakov, Preslav

“…Recognizing fallacies is crucial for ensuring the quality and validity of arguments across various domains. However, computational fallacy recognition faces…”
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Network based models of cognitive and social dynamics of human languages by Mukherjee, Animesh, Choudhury, Monojit, Hassan, Samer, Muresan, Smaranda

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CONSISTENT: Open-Ended Question Generation From News Articles by Chakrabarty, Tuhin, Lewis, Justin, Muresan, Smaranda

“…Recent work on question generation has largely focused on factoid questions such as who, what, where, when about basic facts. Generating open-ended why, how,…”
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Understanding Figurative Meaning through Explainable Visual Entailment by Saakyan, Arkadiy, Kulkarni, Shreyas, Chakrabarty, Tuhin, Muresan, Smaranda

“…Large Vision-Language Models (VLMs) have demonstrated strong capabilities in tasks requiring a fine-grained understanding of literal meaning in images and…”
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Navigating the Landscape of Hint Generation Research: From the Past to the Future by Jangra, Anubhav, Mozafari, Jamshid, Jatowt, Adam, Muresan, Smaranda

“…Digital education has gained popularity in the last decade, especially after the COVID-19 pandemic. With the improving capabilities of large language models to…”
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Fine-tuned Language Models are Continual Learners by Scialom, Thomas, Chakrabarty, Tuhin, Muresan, Smaranda

“…Recent work on large language models relies on the intuition that most natural language processing tasks can be described via natural language instructions…”
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Learning to Follow Object-Centric Image Editing Instructions Faithfully by Chakrabarty, Tuhin, Singh, Kanishk, Saakyan, Arkadiy, Muresan, Smaranda

“…Natural language instructions are a powerful interface for editing the outputs of text-to-image diffusion models. However, several challenges need to be…”
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Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers by Chakrabarty, Tuhin, Padmakumar, Vishakh, Brahman, Faeze, Muresan, Smaranda

“…The development of large language models (LLMs) capable of following instructions and engaging in conversational interactions sparked increased interest in…”
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Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models by Chakrabarty, Tuhin, Trivedi, Aadit, Muresan, Smaranda

“…Enthymemes are defined as arguments where a premise or conclusion is left implicit. We tackle the task of generating the implicit premise in an enthymeme,…”
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