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Torsten Hoefler

12 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

ICLR ×2NeurIPS ×2VLDB ×2AAAI ×1ACL ×1AISTATS ×1EMNLP ×1ICML ×1SIGIR ×1

Frequent coauthors

Saleh Ashkboos
×5
Dan Alistarh
×4
Andreas Krause
×2
Martin Jaggi
×2
Maciej Besta
×2
Wenqi Jiang
×2
Gustavo Alonso
×2
Lukas Gianinazzi
×2
Elias Frantar
×2
Maximilian L. Croci
×2
James Hensman
×2
Alejandro Hernández-Cano
×1

Papers

  1. Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
    ACL 2026 ·
    Alejandro Hernández-Cano
    ,
    Alexander Hägele
    ,
    Allen Hao Huang
    ,
    Angelika Romanou
    ,
    Antoni-Joan Solergibert i Llaquet
    ,
    Barna Pásztor
    ,
    Bettina Messmer
    ,
    Dhia Garbaya
    ,
    Eduard Frank Durech
    ,
    Ido Hakimi
    ,
    Juan Garcia Giraldo
    ,
    Mete Ismayilzada
    ,
    Negar Foroutan
    ,
    Skander Moalla
    ,
    Tiancheng Chen
    ,
    Vinko Sabolcec
    ,
    Yixuan Even Xu
    ,
    Michael Aerni
    ,
    Badr AlKhamissi
    ,
    Ines Altemir Marinas
    ,
    Mohammad Hossein Amani
    ,
    Matin Ansaripour
    ,
    Ilia Badanin
    ,
    Harold Benoit
    ,
    Emanuela Boros
    ,
    Nicholas John Browning
    ,
    Fabian Bösch
    ,
    Maximilian Böther
    ,
    Niklas Canova
    ,
    Camille Challier
    ,
    Clément Charmillot
    ,
    Jonathan Coles
    ,
    Jan Milan Deriu
    ,
    Arnout Devos
    ,
    Lukas Drescher
    ,
    Daniil Dzenhaliou
    ,
    Maud Ehrmann
    ,
    Dongyang Fan
    ,
    Simin Fan
    ,
    Silin Gao
    ,
    Miguel Gila
    ,
    María Grandury
    ,
    Diba Hashemi
    ,
    Alexander Miserlis Hoyle
    ,
    Jiaming Jiang
    ,
    Mark Klein
    ,
    Andrei Kucharavy
    ,
    Anastasiia Kucherenko
    ,
    Frederike Lübeck
    ,
    Roman Machacek
    ,
    Theofilos Ioannis Manitaras
    ,
    Andreas Marfurt
    ,
    Kyle Matoba
    ,
    Simon Matrenok
    ,
    Henrique Mendonça
    ,
    Fawzi Roberto Mohamed
    ,
    Syrielle Montariol
    ,
    Luca Mouchel
    ,
    Sven Najem-Meyer
    ,
    Jingwei Ni
    ,
    Gennaro Oliva
    ,
    Matteo Pagliardini
    ,
    Elia Palme
    ,
    Andrei Panferov
    ,
    Léo Paoletti
    ,
    Marco Passerini
    ,
    Ivan Pavlov
    ,
    Auguste Poiroux
    ,
    Kaustubh Ponkshe
    ,
    Nathan Ranchin
    ,
    Javier Rando
    ,
    Mathieu Sauser
    ,
    Jakhongir Saydaliev
    ,
    Mukhammadali Sayfiddinov
    ,
    Marian Schneider
    ,
    Stefano Schuppli
    ,
    Marco Scialanga
    ,
    Andrei Semenov
    ,
    Kumar Shridhar
    ,
    Raghav Singhal
    ,
    Anna Sotnikova
    ,
    Alexander Sternfeld
    ,
    Ayush Kumar Tarun
    ,
    Paul Teiletche
    ,
    Jannis Vamvas
    ,
    Xiaozhe Yao
    ,
    Hao Zhao
    ,
    Alexander Ilic
    ,
    Ana Klimovic
    ,
    Andreas Krause
    ,
    Caglar Gulcehre
    ,
    David Rosenthal
    ,
    Elliott Ash
    ,
    Florian Tramèr
    ,
    Joost VandeVondele
    ,
    Livio Veraldi
    ,
    Martin Rajman
    ,
    Thomas C. Schulthess
    , Torsten Hoefler,
    Antoine Bosselut
    ,
    Martin Jaggi
    ,
    Imanol Schlag
  2. Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors
    SIGIR 2026 ·
    Patrick Iff
    ,
    Paul Brügger
    ,
    Marcin Chrapek
    ,
    David Kochergin
    ,
    Maciej Besta
    , Torsten Hoefler
  3. All models are wrong, some are useful: Model Selection with Limited Labels
    AISTATS 2025 ·
    Patrik Okanovic
    ,
    Andreas Kirsch
    ,
    Jannes Kasper
    , Torsten Hoefler,
    Andreas Krause
    ,
    Nezihe Merve Gürel
  4. Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal
    VLDB 2025 ·
    Wenqi Jiang
    ,
    Hang Hu
    , Torsten Hoefler,
    Gustavo Alonso
  5. HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
    NeurIPS 2025 ·
    Saleh Ashkboos
    ,
    Mahdi Nikdan
    ,
    Rush Tabesh
    ,
    Roberto L. Castro
    , Torsten Hoefler,
    Dan Alistarh
  6. Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
    VLDB 2024 ·
    Wenqi Jiang
    ,
    Marco Zeller
    ,
    Roger Waleffe
    , Torsten Hoefler,
    Gustavo Alonso
  7. DiffDA: a Diffusion model for weather-scale Data Assimilation
    ICML 2024 ·
    Langwen Huang
    ,
    Lukas Gianinazzi
    ,
    Yuejiang Yu
    ,
    Peter D. Düben
    , Torsten Hoefler
  8. Graph of Thoughts: Solving Elaborate Problems with Large Language Models
    AAAI 2024 ·
    Maciej Besta
    ,
    Nils Blach
    ,
    Ales Kubicek
    ,
    Robert Gerstenberger
    ,
    Michal Podstawski
    ,
    Lukas Gianinazzi
    ,
    Joanna Gajda
    ,
    Tomasz Lehmann
    ,
    Hubert Niewiadomski
    ,
    Piotr Nyczyk
    , Torsten Hoefler
  9. QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
    EMNLP 2024 ·
    Saleh Ashkboos
    ,
    Ilia Markov
    ,
    Elias Frantar
    ,
    Tingxuan Zhong
    ,
    Xincheng Wang
    ,
    Jie Ren
    , Torsten Hoefler,
    Dan Alistarh
  10. QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
    NeurIPS 2024 ·
    Saleh Ashkboos
    ,
    Amirkeivan Mohtashami
    ,
    Maximilian L. Croci
    ,
    Bo Li
    ,
    Pashmina Cameron
    ,
    Martin Jaggi
    ,
    Dan Alistarh
    , Torsten Hoefler,
    James Hensman
  11. SliceGPT: Compress Large Language Models by Deleting Rows and Columns
    ICLR 2024 ·
    Saleh Ashkboos
    ,
    Maximilian L. Croci
    ,
    Marcelo Gennari Do Nascimento
    , Torsten Hoefler,
    James Hensman
  12. SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
    ICLR 2024 ·
    Tim Dettmers
    ,
    Ruslan Svirschevski
    ,
    Vage Egiazarian
    ,
    Denis Kuznedelev
    ,
    Elias Frantar
    ,
    Saleh Ashkboos
    ,
    Alexander Borzunov
    , Torsten Hoefler,
    Dan Alistarh