Jonathan Berant

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Gerard de Melo, Andrew M. Dai, Christopher D. Manning, 2022, ArXiv.

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization

Jonathan Herzig, Inbar Oren, Jonathan Berant, 2021, EMNLP.

Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Jonathan Berant, Tomer Wolfson, Ori Ram, 2023, ArXiv.

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Ronan Le Bras, Stuart M. Shieber, Vinay Uday Prabhu, 2022, ArXiv.

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking

Jonathan Berant, Chirag Nagpal, Jonathan Berant, 2023, ArXiv.

Inferring Implicit Relations with Language Models

Jonathan Berant, Mor Geva, Jonathan Berant, 2022, ArXiv.