Search Results for author: Alexander Chapanin

Found 2 papers, 1 papers with code

Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

no code implementations • 1 Oct 2023 • Yair Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart

We hence present a second approach based on matching, and propose a method that is guided by an LLM at training-time and learns a dedicated embedding space.

counterfactual Language Modelling +1

Paper
Add Code

Measuring the Robustness of NLP Models to Domain Shifts

2 code implementations • 31 May 2023 • Nitay Calderon, Naveh Porat, Eyal Ben-David, Alexander Chapanin, Zorik Gekhman, Nadav Oved, Vitaly Shalumov, Roi Reichart

We then conducted a comprehensive large-scale DR study involving over 14, 000 domain shifts across 21 fine-tuned models and few-shot LLMs.

Few-Shot Learning In-Context Learning +2

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.