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cs.CL2026

The MediaSpin Dataset: Post-Publication News Headline Edits Annotated for Media Bias

Preetika Verma, Kokil Jaidka

We present MediaSpin, a large-scale language resource capturing how major news outlets modify headlines after publication, and MediaSpin-in-the-Wild, a complementary dataset linkin…

cs.CL2026

GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Search

Sahajpreet Singh, Kokil Jaidka, Min-Yen Kan

Community-based moderation offers a scalable alternative to centralized fact-checking, yet it faces significant structural challenges, and existing AI-based methods fail in "cold s…

cs.CL2025

Incivility and Rigidity: Evaluating the Risks of Fine-Tuning LLMs for Political Argumentation

Svetlana Churina, Kokil Jaidka

Incivility on platforms such as Twitter (now X) and Reddit complicates the development of AI systems that can support productive, rhetorically sound political argumentation. We pre…

cs.CL2025

"Reasoning" with Rhetoric: On the Style-Evidence Tradeoff in LLM-Generated Counter-Arguments

Preetika Verma, Kokil Jaidka, Svetlana Churina

Large language models (LLMs) play a key role in generating evidence-based and stylistic counter-arguments, yet their effectiveness in real-world applications has been underexplored…

cs.CL2024

PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models

Fiona Anting Tan, Gerard Christopher Yeo, Kokil Jaidka +6

The use of LLMs in natural language reasoning has shown mixed results, sometimes rivaling or even surpassing human performance in simpler classification tasks while struggling with…

cs.CL2024

Impact of Decoding Methods on Human Alignment of Conversational LLMs

Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma

To be included into chatbot systems, Large language models (LLMs) must be aligned with human conversational conventions. However, being trained mainly on web-scraped data gives exi…