3 citations · 3 across the 4 of their papers we have counts for
4 papers
HEMM: Holistic Evaluation of Multimodal Foundation Models
Paul Pu Liang, Akshay Goindani, Talha Chafekar +4
Multimodal foundation models that can holistically process text alongside images, video, audio, and other sensory modalities are increasingly used in a variety of real-world applic…
PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language Model Embeddings To Estimate Code-Mix Quality
Prashant Kodali, Tanmay Sachan, Akshay Goindani +4
Code-Mixing is a phenomenon of mixing two or more languages in a speech event and is prevalent in multilingual societies. Given the low-resource nature of Code-Mixing, machine gene…
Reappraising Domain Generalization in Neural Networks
Sarath Sivaprasad, Akshay Goindani, Vaibhav Garg +3
Given that Neural Networks generalize unreasonably well in the IID setting (with benign overfitting and betterment in performance with more parameters), OOD presents a consistent f…
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation
Akshay Goindani, Manish Shrivastava
Multiple parallel attention mechanisms that use multiple attention heads facilitate greater performance of the Transformer model for various applications e.g., Neural Machine Trans…