activity
20172026
most citedSyntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding

37 citations · 52 across the 12 of their papers we have counts for

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cs.CL2025

LOCUS: A System and Method for Low-Cost Customization for Universal Specialization

Dhanasekar Sundararaman, Keying Li, Wayne Xiong +1

We present LOCUS (LOw-cost Customization for Universal Specialization), a pipeline that consumes few-shot data to streamline the construction and training of NLP models through tar…

cs.CV2025

Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities

Shounak Datta, Dhanasekar Sundararaman

Despite their impressive performance on multi-modal tasks, large vision-language models (LVLMs) tend to suffer from hallucinations. An important type is object hallucination, where…