Samuel Weinbach
7 papers · 2022–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
🧭
Keyword Pioneer
❓
The Questioner
Venues
Top co-authors
Research topics
Deep Learning
(6)
Artificial Intelligence
(4)
Models
(4)
Machine Learning
(3)
Core AI
(3)
Natural Language Processing
(2)
Application Areas
(2)
Architectures
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Techniques
(2)
Core Methods
(1)
Generation
(1)
Learning Types
(1)
Optimization & Theory
(1)
Keywords
large language model
(3)
multimodal learning
(2)
transfer learning
(1)
sparse representation
(1)
attention mechanism
(1)
in-context learning
(1)
cross-lingual transfer
(1)
neural network optimization
(1)
computational efficiency
(1)
model fusion
(1)
pre-trained model
(1)
vision-language model
(1)
model weight
(1)
low-precision training
(1)
dense model
(1)
text-to-image diffusion model
(1)
hyperparameter scaling
(1)
parameter reduction
(1)
cross-lingual transfer learning
(1)
adapter-based fine-tuning
(1)
Papers
u-μP: The Unit-Scaled Maximal Update Parametrization
ICLR 2025
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
EMNLP 2024
Tokenizer Choice For LLM Training: Negligible or Crucial?
NAACL 2024
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
NeurIPS 2023
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
NeurIPS 2023
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
ACL 2022
MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning
EMNLP 2022