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Bhavith Chandra Challagundla

3 papers hereh-index 324 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.LG1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedNeural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2026

One Lens, Many Worlds : A Capability-Typed Interface for World-Model Interpretability

Bhavith Chandra Challagundla, Sanskar Pandey, Param Thakkar +7

World models are now built on substantially different computational substrates. Latent recurrent state-space models such as PlaNet and the Dreamer family compress observations into…

eess.SP2024

Advanced Neural Network Architecture for Enhanced Multi-Lead ECG Arrhythmia Detection through Optimized Feature Extraction

Bhavith Chandra Challagundla

Cardiovascular diseases are a pervasive global health concern, contributing significantly to morbidity and mortality rates worldwide. Among these conditions, arrhythmia, characteri…

cs.CL2024★ 2 cited

Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization

Bhavith Chandra Challagundla, Chakradhar Peddavenkatagari

Automatic text summarization (TS) plays a pivotal role in condensing large volumes of information into concise, coherent summaries, facilitating efficient information retrieval and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.