activity
20202025
most citedA Definition and a Test for Human-Level Artificial Intelligence

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2025

End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data

Aishwarya Pothula, Bhavana Akkiraju, Srihari Bandarupalli +3

The scarcity of high-quality annotated data presents a significant challenge in developing effective end-to-end speech-to-text translation (ST) systems, particularly for low-resour…

cs.CL2025

IIITH-BUT system for IWSLT 2025 low-resource Bhojpuri to Hindi speech translation

Bhavana Akkiraju, Aishwarya Pothula, Santosh Kesiraju +1

This paper presents the submission of IIITH-BUT to the IWSLT 2025 shared task on speech translation for the low-resource Bhojpuri-Hindi language pair. We explored the impact of hyp…

cs.AI2022

Hippocampus-Inspired Cognitive Architecture (HICA) for Operant Conditioning

Deokgun Park, Md Ashaduzzaman Rubel Mondol, SM Mazharul Islam +1

The neural implementation of operant conditioning with few trials is unclear. We propose a Hippocampus-Inspired Cognitive Architecture (HICA) as a neural mechanism for operant cond…

cs.AI2020

Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics

Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Deokgun Park

Task-specific AI agents are showing remarkable performance across different domains. But modeling generalized AI agents like human intelligence will require more than current datas…

cs.AI2020★ 1 cited

A Definition and a Test for Human-Level Artificial Intelligence

Deokgun Park, Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula +1

Despite recent advances of AI research in many application-specific domains, we do not know how to build a human-level artificial intelligence (HLAI). We conjecture that learning f…

cs.AI2020

SEDRo: A Simulated Environment for Developmental Robotics

Aishwarya Pothula, Md Ashaduzzaman Rubel Mondol, Sanath Narasimhan +2

Even with impressive advances in application-specific models, we still lack knowledge about how to build a model that can learn in a human-like way and do multiple tasks. To learn…

cs.AI2020

An Open-World Simulated Environment for Developmental Robotics

SM Mazharul Islam, Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula +1

As the current trend of artificial intelligence is shifting towards self-supervised learning, conventional norms such as highly curated domain-specific data, application-specific l…