一作NeurIPS 2026Poster
3DSPA: A 3D Semantic Point Autoencoder for Evaluating Video Realism
Bhavik Chandna · Kelsey Allen
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Bhavik Chandna · Kelsey Allen
Vadivel Abishethvarman · Bhavik Chandna · Pratik Jalan · Usman Naseem
Large Language Models (LLMs) can generate content spanning ideological rhetoric to explicit instructions for violence. However, existing safety evaluations often rely on simplistic binary labels (safe/unsafe), overlooking the nuanced spectrum of risk these outputs pose. To address this, we presen...
Bhavik Chandna · Procheta Sen
Explainability has become a crucial concern in today’s world, aiming to enhance transparency in machine learning and deep learning models. Information retrieval is no exception to this trend. In existing literature on explainability of information retrieval, the emphasis has predominantly been on...