Torsten Hoefler

Venues

Frequent coauthors

Papers

1. Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
   ACL 2026 ·

   Alejandro Hernández-Cano

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2. Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors
   SIGIR 2026 ·

   Patrick Iff

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3. All models are wrong, some are useful: Model Selection with Limited Labels
   AISTATS 2025 ·

   Patrik Okanovic

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4. Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal
   VLDB 2025 ·

   Wenqi Jiang

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5. HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
   NeurIPS 2025 ·

   Saleh Ashkboos

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6. Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
   VLDB 2024 ·

   Wenqi Jiang

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7. DiffDA: a Diffusion model for weather-scale Data Assimilation
   ICML 2024 ·

   Langwen Huang

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8. Graph of Thoughts: Solving Elaborate Problems with Large Language Models
   AAAI 2024 ·

   Maciej Besta

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9. QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
   EMNLP 2024 ·

   Saleh Ashkboos

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10. QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
    NeurIPS 2024 ·

    Saleh Ashkboos

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11. SliceGPT: Compress Large Language Models by Deleting Rows and Columns
    ICLR 2024 ·

    Saleh Ashkboos

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12. SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
    ICLR 2024 ·

    Tim Dettmers

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