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researcher

Noor Islam S. Mohammad

New York University

17 papers hereh-index 183 citations15 works total

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

author position
  • sole author5
  • first author10
  • middle author1

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG4
  • cs.AI3
  • cs.CR2
  • astro-ph.IM1
  • cs.CC1
affiliations
  • New York University
HomepageORCID 0009-0007-8823-6681
same name
  • Noor Islam S. Mohammad — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedCoGate-LSTM: Prototype-Guided Feature-Space Gating for Mitigating Gradient Dilution in Imbalanced Toxic Comment Classification

1 citations · 1 across the 15 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

Salient Knowledge Pathways: Sparse Cross-Modal Routing for Efficient Knowledge-Intensive Multimodal Question Answering

Noor Islam S. Mohammad, Uluğ Bayazıt

Knowledge-intensive multimodal question answering (KI-MMQA) sits at the intersection of three expensive primitives: long visual token sequences, dense retrieval over large external…

cs.AI2026

Coherence Under Commitment: Probing Generalization and Vacuous Memorization in LLM Logical Reasoning

Noor Islam S. Mohammad, Mahmudul Hasan

Large language models (LLMs) deployed for logical reasoning in knowledge-intensive domains exhibit a subtle but critical failure: coherence can be vacuously achieved through system…

cs.AI2026

The Faithfulness Gap: Certifying Semantic Equivalence Between Natural-Language and Formal Mathematical Statements

Noor Islam S. Mohammad, Tamim Sheikh

Autoformalization, translating natural-language mathematics into formal proof assistants, is bottlenecked not by translation fluency but by \emph{faithfulness}: a formal statement…

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