129 citations · 848 across the 73 of their papers we have counts for
6 papers · 2 filters
Misinformation Without Triggers: From Factual Answers to Downstream Decisions
Lin Tian, Marian-Andrei Rizoiu
Language models learn from web documents, some of them false, and false content can reach a model's answer to a factual question and the summaries and decisions that use it. Most d…
Reading Too Much into Context: Passive Exposure Can Steer LLM Decisions
Yuxiang Zheng, Lin Tian, Marian-Andrei Rizoiu
Large language model (LLM) assistants can now search the web and consult external sources while completing user requests. These sources can provide useful evidence, but they can al…
Less Is Moral: A CHARMing Framework for Moral Foundations Detection in Endorsement Behaviour
Huixiang Fu, Marian-Andrei Rizoiu
Moral language plays a central role in shaping online endorsement and the diffusion of information, yet existing moral foundation detection systems often suffer from poor cross-dom…
From a Word-Level Dictionary to Sentence-Level Semantics: Multilingual Grievance Labelling with Contextual Models
Lin Tian, Marian-Andrei Rizoiu
Grievance is one of the warning signs analysts look for when assessing threats of violence. It is increasingly measured at scale from online text, most often with word-level lexico…
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B
Dima Galat, Marian-Andrei Rizoiu
We describe our BioASQ Task 14B 2026 system. The work centers on two design decisions: how aggressively to re-retrieve when first-stage retrieval is weak, and how to combine multip…
Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit
JooYoung Lee, Lin Tian, Angela Brillantes +2
As large language models (LLMs) become default tools for online information verification, an implicit assumption follows them: that scale and general capability are sufficient for…