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Vineeth Dorna
Observed name:
Dorna, Vineeth
Observed institutions:
Indian Institute of Technology Bombay,
University of Massachusetts Amherst
ORCID:
0009-0003-1050-9521
Observed ORCID:
0009-0003-1050-9521
OpenAlex ID:
A5066026232
TAGMol: Target-Aware Gradient-guided Molecule Generation
2024
·
Dorna, Vineeth
, Subhalingam, D.
, et al.
·
arXiv (Cornell University)
·
5
PDF
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
2025
·
Vineeth Dorna
, Anmol Mekala
, et al.
·
neural information processing systems
·
3
PDF
SketchBuddy: Context-Aware Sketch Enrichment and Enhancement
2023
·
Aishwarya Agarwal
, Anuj Srivastava
, et al.
·
ACM Multimedia Systems Conference (MMSys)
·
3
PDF
SPEAR : Semi-supervised Data Programming in Python
2022
·
Guttu Abhishek
, Harshad Ingole
, et al.
·
Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
·
2
PDF
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone
2026
·
DatologyAI
, :
, et al.
·
arXiv (Cornell University)
PDF
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data
2026
·
Baek, Christina
, Monti, Ricardo Pio
, et al.
·
arXiv (Cornell University)
PDF
ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
2026
·
DatologyAI
, :
, et al.
·
arXiv (Cornell University)
PDF
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
2026
·
DatologyAI
, :
, et al.
·
arXiv (Cornell University)
PDF
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
2025
·
DatologyAI
, :
, et al.
·
arXiv (Cornell University)
PDF
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
2024
·
Mekala, Anmol
, Dorna, Vineeth
, et al.
·
arXiv (Cornell University)
PDF
SPEAR : Semi-supervised Data Programming in Python
2021
·
Abhishek, Guttu Sai
, Ingole, Harshad
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
11
Citation count:
13
H-index:
3
I10-index:
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