2 citations · 5 across the 20 of their papers we have counts for
5 papers · 1 filter
Teaching and Critiquing Conceptualization and Operationalization in NLP
Vagrant Gautam
NLP researchers regularly invoke abstract concepts like "interpretability," "bias," "reasoning," and "stereotypes," without defining them. Each subfield has a shared understanding…
Decoding Partial Differential Equations: Cross-Modal Adaptation of Decoder-only Models to PDEs
Paloma García-de-Herreros, Philipp Slusallek, Dietrich Klakow +1
While large language models are primarily used on natural language tasks, they have also shown great promise when adapted to new modalities, e.g., for scientific machine learning t…
Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs
Elisa Forcada Rodríguez, Olatz Perez-de-Viñaspre, Jon Ander Campos +2
One of the goals of fairness research in NLP is to measure and mitigate stereotypical biases that are propagated by NLP systems. However, such work tends to focus on single axes of…
Agree to Disagree? A Meta-Evaluation of LLM Misgendering
Arjun Subramonian, Vagrant Gautam, Preethi Seshadri +3
Numerous methods have been proposed to measure LLM misgendering, including probability-based evaluations (e.g., automatically with templatic sentences) and generation-based evaluat…
Aligned Probing: Relating Toxic Behavior and Model Internals
Andreas Waldis, Vagrant Gautam, Anne Lauscher +2
We introduce aligned probing, a novel interpretability framework that aligns the behavior of language models (LMs), based on their outputs, and their internal representations (inte…