Leshem Choshen

Publications

• tinyBenchmarks: evaluating LLMs with fewer examples

  • • Felipe Maia Polo
    • Lucas Weber
    • et al.
  • 2024
  • ICML 2024

  Conference paper

• Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI

  • • Elron Bandel
    • Yotam Perlitz
    • et al.
  • 2024
  • NAACL 2024

  Demo paper

• Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)

  • • Leshem Choshen
    • Ariel Gera
    • et al.
  • 2024
  • LREC-COLING 2024

  Tutorial

• ACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATION

  • • Asaf Yehudai
    • Boaz Carmeli
    • et al.
  • 2024
  • ICLR 2024

  Conference paper

• tinyBenchmarks: evaluating LLMs with fewer examples

  • • Felipe Maia Polo
    • Lucas Weber
    • et al.
  • 2024
  • ICLR 2024

  Workshop paper

• Asymmetry in Low-Rank Adapters of Foundation Models

  • • Jiacheng Zhu
    • Kristjan Greenewald
    • et al.
  • 2024
  • ICLR 2024

  Workshop paper

• TIES-Merging: Resolving Interference When Merging Models

  • • Prateek Yadav
    • Derek Tam
    • et al.
  • 2023
  • NeurIPS 2023

  Conference paper

• Knowledge is a Region in Weight Space for Finetuned Language Models

  • • Almog Gueta
    • Elad Venezian
    • et al.
  • 2023
  • EMNLP 2023

  Conference paper

• Where to start? Analyzing the potential value of intermediate models

  • • Leshem Choshen
    • Elad Venezian
    • et al.
  • 2023
  • EMNLP 2023

  Conference paper

• DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering

  • • Ella Neeman
    • Roee Aharoni
    • et al.
  • 2023
  • ACL 2023

  Conference paper