6 papers
Althea: Human-AI Collaboration for Fact-Checking and Critical Reasoning
Svetlana Churina, Kokil Jaidka, Anab Maulana Barik +4
The web's information ecosystem demands fact-checking systems that are both scalable and epistemically trustworthy. Automated approaches offer efficiency but often lack transparenc…
Layer of Truth: Probing Belief Shifts under Continual Pre-Training Poisoning
Svetlana Churina, Niranjan Chebrolu, Kokil Jaidka
We show that continual pretraining on plausible misinformation can overwrite specific factual knowledge in large language models without degrading overall performance. Unlike prior…
Do You Trust Me? Cognitive-Affective Signatures of Trustworthiness in Large Language Models
Gerard Yeo, Svetlana Churina, Kokil Jaidka
Perceived trustworthiness underpins how users navigate online information, yet it remains unclear whether large language models (LLMs),increasingly embedded in search, recommendati…
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…
Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus
Svetlana Churina, Akshat Gupta, Insyirah Mujtahid +1
Code-mixing involves the seamless integration of linguistic elements from multiple languages within a single discourse, reflecting natural multilingual communication patterns. Desp…
"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…