Nikhil Anand - RankMe

15 papers A* 2B 1Misc 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models. CoRR Nikhil Anand, Shwetha Somasundaram, Anirudh Phukan, Apoorv Saxena, Koyel Mukherjee
2025	J	`jnl`	Characterization and Mitigation of Training Instabilities in Microscaling Formats. CoRR Huangyuan Su, Mujin Kwun, Stephanie Gil, Sham M. Kakade, Nikhil Anand
2025	J	`jnl`	Decomposing Elements of Problem Solving: What "Math" Does RL Teach? CoRR Tian Qin, Core Francisco Park, Mujin Kwun, Aaron Walsman, Eran Malach, Nikhil Anand, Hidenori Tanaka, David Alvarez-Melis
2025	J	`jnl`	LOTION: Smoothing the Optimization Landscape for Quantized Training. CoRR Mujin Kwun, Depen Morwani, Chloe Huangyuan Su, Stephanie Gil, Nikhil Anand, Sham M. Kakade
2025	J	`jnl`	Loss-to-Loss Prediction: Scaling Laws for All Datasets. Trans. Mach. Learn. Res. David Brandfonbrener, Nikhil Anand, Nikhil Vyas, Eran Malach, Sham M. Kakade
2025	A*	`conf`	Mixture of Parrots: Experts improve memorization more than reasoning. ICLR Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach
2024	J	`jnl`	Dataset Difficulty and the Role of Inductive Bias. CoRR Devin Kwok, Nikhil Anand, Jonathan Frankle, Gintare Karolina Dziugaite, David Rolnick
2024	J	`jnl`	Loss-to-Loss Prediction: Scaling Laws for All Datasets. CoRR David Brandfonbrener, Nikhil Anand, Nikhil Vyas, Eran Malach, Sham M. Kakade
2024	J	`jnl`	Mixture of Parrots: Experts improve memorization more than reasoning. CoRR Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach
2023	J	`jnl`	Comprehensive Benchmarking of Entropy and Margin Based Scoring Metrics for Data Selection. CoRR Anusha Sabbineni, Nikhil Anand, Maria Minakova
2023	A*	`conf`	Influence Scores at Scale for Efficient Language Data Sampling. EMNLP Nikhil Anand, Joshua Tan, Maria Minakova
2023	J	`jnl`	Influence Scores at Scale for Efficient Language Data Sampling. CoRR Nikhil Anand, Joshua Tan, Maria Minakova
2019	B	`conf`	DyNeMoC: Statistical Model Checking for Agent Based Systems on Graphs. PRIMA Yenda Ramesh, Nikhil Anand, M. V. Panduranga Rao
2019	Misc	`conf`	Statistical Model Checking for Dynamical Processes on Networks: A Healthcare Application. COMSNETS Yenda Ramesh, Nikhil Anand, M. V. Panduranga Rao
2014	J	`jnl`	Cordova: Web-based management of genetic variation data. Bioinform. Sean S. Ephraim, Nikhil Anand, Adam P. DeLuca, Kyle R. Taylor, Diana L. Kolbe, Allen C. Simpson, Hela Azaiez, Christina M. Sloan, A. Eliot Shearer, Andrea R. Hallier, Thomas L. Casavant, Todd E. Scheetz, Richard J. H. Smith, Terry A. Braun