Sameer Singh on Muck Rack

Sameer Singh

Austria
As seen in: Medium, Nature, Wiley, Wiley Online Library, PLOS ONE, ACS Publications, Android Authority, O'Reilly Media, Science Magazine, Royal Society of Chemistry and
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Articles

Faithfulness-Aware Decoding via Constrained Optimization for Multi-Document Summarization: Framework, Diagnosis, and Empirical Analysis

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By Suhrid Pandey, Sameer Singh
| preprints.org
This version is not peer-reviewed. Suhrid Pandey  † ,Sameer Kumar Singh  *,† Suhrid Pandey  † ,Sameer Kumar Singh  *,† † These authors contributed equally to this work. You are already at the latest version Multi-document summarization (MDS) under strict context budgets is acutely vulnerable to hallucination, cross-document contradiction, entity drift, and redundant paraphrasing.
Open in Who Shared Issue with article?

Scaling Behaviour of Faithfulness-Aware LSHT Transformers for Multi-Document summarization

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By Sameer Singh, Suhrid Pandey
| preprints.org
This version is not peer-reviewed. Sameer Kumar Singh  *,† ,Suhrid Pandey  † Sameer Kumar Singh  *,† ,Suhrid Pandey  † † These authors contributed equally to this work. You are already at the latest version Recent work on neural scaling demonstrates consistent performance gains with increased data and model capacity, yet these improvements are typically assessed using surface-level metrics that do not capture factual reliability.
Open in Who Shared Issue with article?

MINT: A Multilingual Indic Neural Transformer for Abstractive Summarization Under Memory Constraints

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By Sameer Singh
| preprints.org
This version is not peer-reviewed. You are already at the latest version We present MINT (Multilingual Indic Neural Transformer), a compact 14.7M parameter encoder-decoder architecture for abstractive summarization across seven Indic languages.
Open in Who Shared Issue with article?
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