Phillip Rust
14 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π£ Hot Topic Early Bird
π
Academic Marathon
(5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
ποΈ
Keyword Collector
(70)
π
Century Club
(13)
π₯
Unstoppable
(6)
β
The Questioner
(2)
Conferences
ACL (8)
EMNLP (3)
ICLR (1)
ICML (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
cross-lingual transfer
(3)
multilingual language model
(3)
monolingual performance
(2)
pixel language model
(2)
self-supervised learning
(1)
multilingual nlp
(1)
few-shot learning
(1)
fairness
(1)
scene understanding
(1)
text representation
(1)
language model evaluation
(1)
video understanding
(1)
sign language translation
(1)
cross-lingual nlp
(1)
semantic embedding
(1)
question answering
(1)
multilingual pretraining
(1)
vision language model
(1)
pre-trained model
(1)
natural language understanding
(1)
Papers
SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation
ACL 2026
Trick or Neat: Adversarial Ambiguity and Language Model Evaluation
ACL 2025
Multilingual Pretraining for Pixel Language Models
EMNLP 2025
Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users
ACL 2025
Towards Privacy-Aware Sign Language Translation at Scale
ACL 2024
Vision-Language Models under Cultural and Inclusive Considerations
ACL 2024
PHD: Pixel-Based Language Modeling of Historical Documents
EMNLP 2023
Text Rendering Strategies for Pixel Language Models
EMNLP 2023
Language Modelling with Pixels
ICLR 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
ICML 2023
Challenges and Strategies in Cross-Cultural NLP
ACL 2022
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
IJCNLP 2021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
ACL 2021
PuzzLing Machines: A Challenge on Learning From Small Data
ACL 2020