9 citations · 12 across the 4 of their papers we have counts for
4 papers
Breaking Spurious Correlations via Generative Randomization and Cross-Variant Self-Supervised Learning
Suraj Yadav, Anjaneya Sharma, Siddharth Yadav
Deep neural networks trained with Empirical Risk Minimization (ERM) often fail under distribution shifts because they exploit spurious correlations between object labels and backgr…
Limits of Difficulty Scaling: Hard Samples Yield Diminishing Returns in GRPO-Tuned SLMs
Suraj Yadav, Siddharth Yadav, Parth Goyal
Recent alignment work on Large Language Models (LLMs) suggests preference optimization can improve reasoning by shifting probability mass toward better solutions. We test this clai…
Estimating the Potential of Program Repair Search Spaces with Commit Analysis
Khashayar Etemadi, Niloofar Tarighat, Siddharth Yadav +2
The most natural method for evaluating program repair systems is to run them on bug datasets, such as Defects4J. Yet, using this evaluation technique on arbitrary real-world progra…
Unsupervised Sentiment Analysis for Code-mixed Data
Siddharth Yadav, Tanmoy Chakraborty
Code-mixing is the practice of alternating between two or more languages. Mostly observed in multilingual societies, its occurrence is increasing and therefore its importance. A ma…