Sahil Agarwal

1. Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes
   2024/04/05 by Divyanshu Kumar, Anurakt Kumar, Kumar, Divyanshu +5 · 1 voice · 4 citations
   Computer Science · #Cryptography and Data Security #Security and Verification in Computing #cs.AI #cs.CR
2. Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs
   2024/10/13 by Divyanshu Kumar, Kumar, Divyanshu, Umang Jain +5 · 10 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification
3. No Free Lunch with Guardrails
   2025/04/01 by Divyanshu Kumar, Kumar, Divyanshu, Nitin Aravind Birur +7 · 7 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI)
4. Generalized Nordhaus--Gaddum Inequalities for Eigenvalues
   2026/07/17 by Sahil Agarwal, Carter Antley, Joseph Aulenbacher +6
   #math.CO