Leshem Choshen

Publications

• TIES-Merging: Resolving Interference When Merging Models

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

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

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

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

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

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

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

• ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning

  • • Shachar Don-Yehiya
    • Elad Venezian
    • et al.
  • 2023
  • ACL 2023

• Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours

  • • Eyal Shnarch
    • Alon Halfon
    • et al.
  • 2022
  • EMNLP 2022

• GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns

  • • Piyawat Lertvittayakumjorn
    • Leshem Choshen
    • et al.
  • 2022
  • LREC 2022

• Cluster & Tune: Boost Cold Start Performance in Text Classification

  • • Eyal Shnarch
    • Ariel Gera
    • et al.
  • 2022
  • ACL 2022

• An autonomous debating system

  • • Noam Slonim
    • Yonatan Bilu
    • et al.
  • 2021
  • Nature

• Active learning for BERT: An empirical study

  • • Liat Ein-Dor
    • Alon Halfon
    • et al.
  • 2020
  • EMNLP 2020