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Kumari Nishu
Observed names:
Kumari, Nishu,
Nishu, Kumari
Institution:
University of California San Diego
Observed institutions:
University of California San Diego,
Apple (United States),
Columbia University
OpenAlex ID:
A5112980957
Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential
2025
·
Samragh, Mohammad
, Kundu, Arnav
, et al.
·
arXiv (Cornell University)
·
52
PDF
Matching Latent Encoding for Audio-Text based Keyword Spotting
2023
·
Kumari Nishu
, Minsik Cho
, et al.
·
Interspeech (USB)
·
27
PDF
Flexible Keyword Spotting Based on Homogeneous Audio-Text Embedding
2024
·
Kumari Nishu
, Minsik Cho
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
21
PDF
Mapping Local News Coverage: Precise location extraction in textual news content using fine-tuned BERT based language model
2020
·
Sarang Gupta
, Kumari Nishu
·
Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
·
11
PDF
From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs
2025
·
Nishu, Kumari
, Mehta, Sachin
, et al.
·
arXiv (Cornell University)
·
6
PDF
Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder
2024
·
Alexandre Bittar
, Paul Dixon
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
5
PDF
MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoEs
2026
·
Soheil Zibakhsh Shabgahi
, Mohammad Samragh
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
4
PDF
SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting
2025
·
Kumari Nishu
, Minsik Cho
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
4
PDF
Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference
2025
·
Bhendawade, Nikhil
, Nishu, Kumari
, et al.
·
arXiv (Cornell University)
·
3
PDF
Character expansions and affine Jacobi-Trudi identities
2026
·
Fischer, Ilse
, Gangl, Moritz
, et al.
·
arXiv (Cornell University)
·
1
PDF
Efficient Mixture-of-Experts with Speculative Decoding via Expert Coactivation
2026
·
Nishu, Kumari
, Kim, Han-Byul
, et al.
·
arXiv (Cornell University)
PDF
Localization and Deployment Challenges AI techniques based in Wireless Sensor Networks: A Review
2024
·
Kumari Nishu
, Ruby Dahiya
·
SSRN Electronic Journal
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Works count:
14
Citation count:
135
H-index:
5
I10-index:
4
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