Yossi Matias
19 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π Academic Marathon (6) π Conference Polyglot (9) π Renaissance Researcher (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(31)
π§
Keyword Pioneer
π§¬
Topic Evolution
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Dynamic Duo
(10)
β
The Questioner
π
Century Club
(17)
ποΈ
Keyword Collector
(72)
π₯
Unstoppable
(7)
Conferences
NAACL (4)
NIPS (4)
ICML (3)
ACL (2)
AACL (1)
EMNLP (1)
ICLR (1)
IJCNLP (1)
INTERSPEECH (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
differential privacy
(4)
natural language inference
(2)
streaming algorithm
(2)
entity extraction
(2)
pre-trained language model
(2)
adversarial robustness
(2)
privacy guarantee
(2)
clinical note
(2)
few-shot learning
(2)
in-context learning
(2)
question generation
(2)
question answering
(2)
named entity recognition
(1)
prompt engineering
(1)
transfer learning
(1)
speech recognition
(1)
policy optimization
(1)
stochastic gradient descent
(1)
multilingual nlp
(1)
automatic speech recognition
(1)
Papers
Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs
ACL 2026
CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
MICCAI 2025
Selective Attention Improves Transformer
ICLR 2025
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
AACL 2025
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
IJCNLP 2025
Multi-turn Reinforcement Learning with Preference Human Feedback
NIPS 2024
Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?
NAACL 2024
Fast Inference from Transformers via Speculative Decoding
ICML 2023
TRUE: Re-evaluating Factual Consistency Evaluation
NAACL 2022
TRUE: Re-evaluating Factual Consistency Evaluation
ACL 2022
Learning and Evaluating a Differentially Private Pre-trained Language Model
EMNLP 2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
NIPS 2021
Adversarial Robustness of Streaming Algorithms through Importance Sampling
NIPS 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
NAACL 2021
Adversarially Robust Streaming Algorithms via Differential Privacy
NIPS 2020
Audio De-identification - a New Entity Recognition Task
NAACL 2019
Self-similar Epochs: Value in arrangement
ICML 2019
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
INTERSPEECH 2019
Differentially Private Learning of Geometric Concepts
ICML 2019