3 papers
cs.CL2023
The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models
Aviv Slobodkin, Omer Goldman, Avi Caciularu +2
Large language models (LLMs) have been shown to possess impressive capabilities, while also raising crucial concerns about the faithfulness of their responses. A primary issue aris…
cs.CL2023
Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew
Eylon Gueta, Omer Goldman, Reut Tsarfaty
Pre-trained language models (PLMs) have shown remarkable successes in acquiring a wide range of linguistic knowledge, relying solely on self-supervised training on text streams. Ne…
cs.CL2023
Is Probing All You Need? Indicator Tasks as an Alternative to Probing Embedding Spaces
Tal Levy, Omer Goldman, Reut Tsarfaty
The ability to identify and control different kinds of linguistic information encoded in vector representations of words has many use cases, especially for explainability and bias…