1 citations · 1 across the 3 of their papers we have counts for
4 papers
Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience
Jake Stephen, Niraj K. Jha
Knowledge graph (KG) is an abstraction that can be extracted from text corpora and used for in-depth reasoning. Prior work has leveraged KGs to fine-tune language models (LMs), ena…
HEED: Density-Weighted Residual Alignment for Hybrid Vision-Language Model Distillation
Yihao Liang, Niraj K. Jha
Distilling vision-language models into faster hybrid architectures, such as 3:1 Mamba-2/attention mixes, is now standard practice for making inference efficient. Aggregate benchmar…
Uncertainty-Aware Transformers: Conformal Prediction for Language Models
Abhiram Vellore, Niraj K. Jha
Transformers have had a profound impact on the field of artificial intelligence, especially on large language models and their variants. However, as was the case with neural networ…
An Alternative Trajectory for Generative AI
Margarita Belova, Yuval Kansal, Yihao Liang +2
The generative artificial intelligence (AI) ecosystem is undergoing rapid transformations that threaten its sustainability. As models transition from research prototypes to high-tr…