39 citations · 122 across the 46 of their papers we have counts for
7 papers · 1 filter
XAM: Interactive Explainability for Authorship Attribution Models
Milad Alshomary, Anisha Bhatnagar, Peter Zeng +3
We present IXAM, an Interactive eXplainability framework for Authorship Attribution Models. Given an authorship attribution (AA) task and an embedding-based AA model, our tool enab…
Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
Yunfan Zhang, Kathleen McKeown, Smaranda Muresan
Large Language Models (LLMs) are typically trained to reflect a relatively uniform set of values, which limits their applicability to tasks that require understanding of nuanced hu…
Designing and Evaluating Chain-of-Hints for Scientific Question Answering
Anubhav Jangra, Smaranda Muresan
LLMs are reshaping education, with students increasingly relying on them for learning. Implemented using general-purpose models, these systems are likely to give away the answers,…
VideoNorms: Benchmarking Cultural Awareness of Video Language Models
Nikhil Reddy Varimalla, Yunfei Xu, Meng Fan Wang +2
As Video Large Language Models (VideoLLMs) are deployed globally, it is important to assess their ability to reason across cultural contexts. To advance cultural norm awareness eva…
Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity
Arkadiy Saakyan, Najoung Kim, Smaranda Muresan +1
N-gram novelty is widely used to evaluate language models' ability to generate text outside of their training data. More recently, it has also been adopted as a metric for measurin…
Forecasting Conversation Derailments Through Generation
Yunfan Zhang, Kathleen McKeown, Smaranda Muresan
Forecasting conversation derailment can be useful in real-world settings such as online content moderation, conflict resolution, and business negotiations. However, despite languag…