33 citations · 64 across the 8 of their papers we have counts for
3 papers · 1 filter
MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation
Haris Riaz, Sourav Bhabesh, Vinayak Arannil +2
Recent smaller language models such Phi-3.5 and Phi-4 rely on synthetic data generated using larger Language models. Questions remain about leveraging synthetic data for other use…
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining
Vinayak Arannil, Neha Narwal, Sourav Sanjukta Bhabesh +5
Large Language Models (LLMs) have shown remarkable ability to generalize effectively across numerous industry domains while executing a range of tasks. Many of these competencies a…
Towards Building a Robust Toxicity Predictor
Dmitriy Bespalov, Sourav Bhabesh, Yi Xiang +2
Recent NLP literature pays little attention to the robustness of toxicity language predictors, while these systems are most likely to be used in adversarial contexts. This paper pr…