Nasib Ullah

Orcid: 0009-0005-3153-6734

According to our database1, Nasib Ullah authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models.
CoRR, October, 2025

ELMO: Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces.
CoRR, October, 2025

How Well Calibrated are Extreme Multi-label Classifiers? An Empirical Analysis.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
CoRR, 2024

Navigating Extremes: Dynamic Sparsity in Large Output Space.
CoRR, 2024

Zero-Shot Learning Over Large Output Spaces : Utilizing Indirect Knowledge Extraction from Large Language Models.
CoRR, 2024

2022
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition.
CoRR, 2022

A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Thinking Hallucination for Video Captioning.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Boosting Video Captioning with Dynamic Loss Network.
CoRR, 2021


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