Raphael Tang
26 papers · 2019–2026 · 4 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (58) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(20)
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Topic Evolution
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Keyword Champion
(2)
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Keyword Pioneer
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Trend Setter
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The Questioner
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Century Club · Bronze
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Unstoppable · Bronze
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Prolific Year · Productive
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Renaissance Researcher
(6)
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Keyword Collector
(121)
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Machine Learning
(17)
Deep Learning
(15)
Natural Language Processing
(12)
Artificial Intelligence
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Application Areas
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Core AI
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Applications
(6)
Architectures
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Core Methods
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Resources & Methods
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Computer Vision
(4)
Models
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Optimization & Theory
(4)
Techniques
(4)
Keywords
model compression
(5)
neural network
(4)
knowledge distillation
(4)
inference acceleration
(3)
transfer learning
(3)
passage reranking
(2)
multilingual language model
(2)
early exiting
(2)
document classification
(2)
keyword spotting
(2)
diffusion model
(2)
automatic speech recognition
(2)
speech recognition
(2)
positional bia
(2)
question answering
(2)
text classification
(2)
information bottleneck
(2)
bert model
(2)
text-to-image generation
(2)
vision-language model
(2)
Papers
The Role of Mixed-Language Documents for Multilingual Large Language Model Pretraining
ACL 2026
Lost in Embeddings: Information Loss in Vision–Language Models
EMNLP 2025
Multilingual Language Model Pretraining using Machine-translated Data
EMNLP 2025
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
EMNLP 2024
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models
NAACL 2024
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation
NAACL 2024
Understanding Retrieval Robustness for Retrieval-augmented Image Captioning
ACL 2024
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation
EMNLP 2024
“Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
ACL 2023
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers
ACL 2023
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
ACL 2023
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale
EMNLP 2022
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression
EACL 2021
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks
EMNLP 2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
ACL 2021
Voice Query Auto Completion
EMNLP 2021
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
EMNLP 2020
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
ACL 2020
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
ACL 2020
Howl: A Deployed, Open-Source Wake Word Detection System
EMNLP 2020
Inserting Information Bottlenecks for Attribution in Transformers
EMNLP 2020
Showing Your Work Doesn’t Always Work
ACL 2020
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting
EMNLP 2019
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling
EMNLP 2019
Natural Language Generation for Effective Knowledge Distillation
EMNLP 2019
Rethinking Complex Neural Network Architectures for Document Classification
NAACL 2019