4 citations · 6 across the 4 of their papers we have counts for
4 papers
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models
Anmol Nayak, Hari Prasad Timmapathini
The advent of Large Language Models (LLM) has revolutionized the field of natural language processing, enabling significant progress in various applications. One key area of intere…
Few-shot learning approaches for classifying low resource domain specific software requirements
Anmol Nayak, Hari Prasad Timmapathini, Vidhya Murali +1
With the advent of strong pre-trained natural language processing models like BERT, DeBERTa, MiniLM, T5, the data requirement for industries to fine-tune these models to their nich…
FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer
Liyuan Ma, Kejie Huang, Dongxu Wei +2
Human pose transfer aims at transferring the appearance of the source person to the target pose. Existing methods utilizing flow-based warping for non-rigid human image generation…
Using Integrated Gradients and Constituency Parse Trees to explain Linguistic Acceptability learnt by BERT
Anmol Nayak, Hari Prasad Timmapathini
Linguistic Acceptability is the task of determining whether a sentence is grammatical or ungrammatical. It has applications in several use cases like Question-Answering, Natural La…