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20232026
most citedLeveraging CNNs and Ensemble Learning for Automated Disaster Image Classification

2 citations · 4 across the 5 of their papers we have counts for

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cs.CL2026

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study

Mokshit Surana, Archit Rathod, Akshaj Satishkumar

Large Language Models (LLMs) trained on web-scale corpora inherently absorb toxic patterns from their training data. This leads to toxic degeneration where even innocuous prompts c…

cs.LG2026

Fair and Calibrated Toxicity Detection with Robust Training and Abstention

Mokshit Surana

Fairness in toxicity classification involves three integrated axes: ranking, calibration, and abstention. Training-time interventions and post-hoc safety mechanisms cannot be evalu…