Clara Meister
Postdoctoral ResearcherEPFL
Events
- Tiago Pimentel (ETH Zurich) on causality’s role in ML interpretability and Amir Joudaki (ETH Zurich) on learning dynamics and scaling laws.52
- TodayJannis Vamvas from the University of Zurich on the challenge of Romansh and Eric Chen from EPFL on reasoning as test-time learning.131
- Fabian Schaipp from Inria on training algorithms for machine learning and Valentina Pyatkin from the Allen Institute and ETH Zurich on training open-source LLMs.289
- Sina Ahmadi from the University of Zurich on low-resource language varieties and Barna Pasztor from ETH Zurich on sample-efficient dataset collection for RLHF.179
- Philippe Bich from Huawei on calibration-free low-precision LLMs and Alejandro Hernandez Cano from EPFL on Apertus, the Swiss open LLM.258(+50)
- Aleksander Ficek from NVIDIA on synthetic generators and verifiers for coding and Matteo Saponati from ETH Zurich on the structures of self-attention.139
- Ivan Vulić from the University of Cambridge and Google DeepMind on vision-language models for spatial reasoning and Tiago Pimentel from ETH Zurich on generalisation in language models.187
- Matej Jusup from the ETH AI Center on mastering board games and Bobby He from the University of Oxford on understanding outlier features.118
- Jonas Hübotter and Imanol Schlag from ETH Zurich on learning at test time and Swiss sovereign AI.122
- Betsa Maciej and Riccardo Maggioni from ETH Zurich on graph of thoughts and accelerating industrial programming with AI.119
- Kacper Lukawski from Qdrant on optimizing RAG and Tannon Kew from the University of Zurich on multilingual language models.128
- Lewis Tunstall from Hugging Face on LLM alignment and Vilém Zouhar from ETH Zurich on tokenization.182
- Brian DuSell from ETH Zurich on stack attention and Leandro von Werra from Hugging Face on BigCode.111
- Martina Forster and Luca Campanella from Typewise on building an NLP startup, and Tiago Pimentel from ETH Zurich on word lengths.65
- Jonas Pfeiffer from Google DeepMind on modular deep learning and Eiso Kant from Poolside on learning from code.85
- Katya Mirylenka from IBM Research and Elliott Ash from ETH Zurich on text classification and legal summarization.92