Victor Sanh
13 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
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Conference Polyglot
(6)
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(5)
👥
Mega-Team
(40)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
🚀
Conference Pioneer
💎
Century Club
(13)
❓
The Questioner
(2)
📈
Trend Setter
🗃️
Keyword Collector
(59)
Conferences
EMNLP (5)
NIPS (3)
ICLR (2)
AAAI (1)
ACL (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(3)
transformer architecture
(2)
model pruning
(2)
few-shot learning
(2)
knowledge distillation
(2)
multimodal learning
(2)
vision language model
(2)
transfer learning
(2)
network pruning
(1)
prompt-based learning
(1)
natural language processing
(1)
model pretraining
(1)
multi-task learning
(1)
model interpretability
(1)
model training
(1)
named entity recognition
(1)
semantic embedding
(1)
semantic similarity
(1)
hierarchical model
(1)
prompt engineering
(1)
Papers
What matters when building vision-language models?
NIPS 2024
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
NIPS 2023
What Language Model to Train if You Have One Million GPU Hours?
EMNLP 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
Low-Complexity Probing via Finding Subnetworks
NAACL 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
EMNLP 2021
Block Pruning For Faster Transformers
EMNLP 2021
Datasets: A Community Library for Natural Language Processing
EMNLP 2021
Learning from others' mistakes: Avoiding dataset biases without modeling them
ICLR 2021
Movement Pruning: Adaptive Sparsity by Fine-Tuning
NIPS 2020
Transformers: State-of-the-Art Natural Language Processing
EMNLP 2020
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks
AAAI 2019