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Aditya Vavre
Observed names:
Vavre, Aditya,
Vavre, Aditya
Observed institutions:
Indian Institute of Technology Bombay,
The University of Texas at Austin
OpenAlex ID:
A5121322536
Training Data Augmentation for Code-Mixed Translation
2021
·
Abhirut Gupta
, Aditya Vavre
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
21
PDF
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
2024
·
Vijay Lingam
, Atula Tejaswi
, et al.
·
neural information processing systems
·
6
PDF
Adapting Multilingual Models for Code-Mixed Translation
2022
·
Aditya Vavre
, Abhirut Gupta
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
4
PDF
NVIDIA Nemotron 3: Efficient and Open Intelligence
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
·
1
PDF
SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales
2026
·
Khona, Mikail
, Vavre, Aditya
, et al.
·
arXiv (Cornell University)
PDF
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control
2026
·
Taghibakhshi, Ali
, Cai, Ruisi
, et al.
·
arXiv (Cornell University)
PDF
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery
2026
·
Xin, Meng
, Priyadarshi, Sweta
, et al.
·
arXiv (Cornell University)
PDF
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2025
·
NVIDIA
, :
, et al.
·
arXiv (Cornell University)
PDF
Pretraining Large Language Models with NVFP4
2025
·
NVIDIA
, Abecassis, Felix
, et al.
·
arXiv (Cornell University)
PDF
EgoVLM: Policy Optimization for Egocentric Video Understanding
2025
·
Vinod, Ashwin
, Pandit, Shrey
, et al.
·
arXiv (Cornell University)
PDF
Llama 3 Meets MoE: Efficient Upcycling
2024
·
Vavre, Aditya
, He, Ethan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
15
Citation count:
32
H-index:
3
I10-index:
1
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