◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Mustapha Abdullahi

4 papers hereh-index 263 citations5 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.DC1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

Firebolt-VL: Efficient Vision-Language Understanding with Cross-Modality Modulation

Quoc-Huy Trinh, Mustapha Abdullahi, Bo Zhao +1

Recent advances in multimodal large language models (MLLMs) have enabled impressive progress in vision-language understanding, yet their high computational cost limits deployment i…

cs.CV2025

Viper-F1: Fast and Fine-Grained Multimodal Understanding with Cross-Modal State-Space Modulation

Quoc-Huy Trinh

Recent advances in multimodal large language models (MLLMs) have enabled impressive progress in vision-language understanding, yet their high computational cost limits deployment i…

cs.DC2025

EARL: Efficient Agentic Reinforcement Learning Systems for Large Language Models

Zheyue Tan, Mustapha Abdullahi, Tuo Shi +5

Reinforcement learning (RL) has become a pivotal component of large language model (LLM) post-training, and agentic RL extends this paradigm to operate as agents through multi-turn…

cs.CV2025

Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers

Lukman Jibril Aliyu, Umar Sani Muhammad, Bilqisu Ismail +5

Wildlife populations in Africa face severe threats, with vertebrate numbers declining by over 65% in the past five decades. In response, image classification using deep learning ha…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.