Leshem Choshen

Publications

• A Lossless Compression for AI Models

  • • Moshik Hershcovitch
    • Andrew Wood
    • et al.
  • 2025
  • CLOUD 2025

  Conference paper

• The future of open human feedback

  • • Shachar Don-Yehiya
    • Ben Burtenshaw
    • et al.
  • 2025
  • Nature Machine Intelligence

  Paper

• MODEL MERGING WITH SVD TO TIE THE KNOTS

  • • George Stoica
    • Pratik Ramesh
    • et al.
  • 2025
  • ICLR 2025

  Conference paper

• LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content

  • • Nimrod Shabtay
    • Felipe Maia Polo
    • et al.
  • 2025
  • ICLR 2025

  Conference paper

• ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization

  • • Prateek Yadav
    • Leshem Choshen
    • et al.
  • 2025
  • TMLR

  Paper

• A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

  • • Prateek Yadav
    • Colin Raffel
    • et al.
  • 2025
  • TMLR

  Paper

• Efficient multi-prompt evaluation of LLMs

  • • Felipe Maia Polo
    • Ronald Xu
    • et al.
  • 2024
  • NeurIPS 2024

  Conference paper

• NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning

  • • Eliyahu Schwartz
    • Leshem Choshen
    • et al.
  • 2024
  • EMNLP 2024

  Conference paper

• Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion

  • • Kerem Zaman
    • Leshem Choshen
    • et al.
  • 2024
  • EMNLP 2024

  Conference paper

• Label-Efficient Model Selection for Text Generation

  • • Shir Ashury Tahan
    • Ariel Gera
    • et al.
  • 2024
  • ACL 2024

  Conference paper