6 papers
Althea: The Fact-Checking--Metalearning Tradeoff in AI-Assisted Verification
Svetlana Churina, Kokil Jaidka, Anab Maulana Barik +5
Fact-checking systems must be scalable and epistemically trustworthy. We introduce Althea, a retrieval-augmented system for user-driven claim evaluation that matches standard pipel…
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…
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…
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…
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…
"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…