3 citations · 5 across the 13 of their papers we have counts for
9 papers · 1 filter
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
Li Siyan, Vethavikashini Chithrra Raghuram, Omar Khattab +2
Users can divulge sensitive information to proprietary LLM providers, raising significant privacy concerns. While open-source models, hosted locally on the user's machine, alleviat…
PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent
Jiateng Liu, Lin Ai, Zizhou Liu +6
Propaganda plays a critical role in shaping public opinion and fueling disinformation. While existing research primarily focuses on identifying propaganda techniques, it lacks the…
Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes
Yu-Wen Chen, Julia Hirschberg
Summarizing medical conversations poses unique challenges due to the specialized domain and the difficulty of collecting in-domain training data. In this study, we investigate the…
EDEN: Empathetic Dialogues for English learning
Li Siyan, Teresa Shao, Zhou Yu +1
Dialogue systems have been used as conversation partners in English learning, but few have studied whether these systems improve learning outcomes. Student passion and perseverance…
Defending Against Social Engineering Attacks in the Age of LLMs
Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee +12
The proliferation of Large Language Models (LLMs) poses challenges in detecting and mitigating digital deception, as these models can emulate human conversational patterns and faci…
What Makes A Video Radicalizing? Identifying Sources of Influence in QAnon Videos
Lin Ai, Yu-Wen Chen, Yuwen Yu +3
In recent years, radicalization is being increasingly attempted on video-sharing platforms. Previous studies have been proposed to identify online radicalization using generic soci…
Using Adaptive Empathetic Responses for Teaching English
Li Siyan, Teresa Shao, Zhou Yu +1
Existing English-teaching chatbots rarely incorporate empathy explicitly in their feedback, but empathetic feedback could help keep students engaged and reduce learner anxiety. Tow…
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension
Lin Ai, Zheng Hui, Zizhou Liu +1
Machine Reading Comprehension (MRC) poses a significant challenge in the field of Natural Language Processing (NLP). While mainstream MRC methods predominantly leverage extractive…
QASE Enhanced PLMs: Improved Control in Text Generation for MRC
Lin Ai, Zheng Hui, Zizhou Liu +1
To address the challenges of out-of-control generation in generative models for machine reading comprehension (MRC), we introduce the Question-Attended Span Extraction (QASE) modul…