494 citations · 676 across the 8 of their papers we have counts for
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cs.CL2026
Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation
Goutham Ramakrishnan, Megha Sharma
Small language models (SLMs) are attractive for agentic deployment due to low latency, reduced cost, and on-device privacy, yet they struggle with tool-use tasks where training dat…
cs.CL2021★ 6 cited
Towards Robustness to Label Noise in Text Classification via Noise Modeling
Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe
Large datasets in NLP suffer from noisy labels, due to erroneous automatic and human annotation procedures. We study the problem of text classification with label noise, and aim to…
cs.CL2020★ 494 cited
BAE: BERT-based Adversarial Examples for Text Classification
Siddhant Garg, Goutham Ramakrishnan
Modern text classification models are susceptible to adversarial examples, perturbed versions of the original text indiscernible by humans which get misclassified by the model. Rec…