Eden Biran — accepted AI-conference papers

2024

Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries

Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson

EMNLP 2024main

Large language models (LLMs) can solve complex multi-step problems, but little is known about how these computations are implemented internally. Motivated by this, we study how LLMs answer multi-hop queries such as “The spouse of the performer of Imagine is”. These queries require two information ex…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗

2024

I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token

Roi Cohen, Konstantin Dobler, Eden Biran, Gerard de Melo

NeurIPS 2024poster

Large Language Models are known to capture real-world knowledge, allowing them to excel in many downstream tasks. Despite recent advances, these models are still prone to what are commonly known as hallucinations, causing them to emit unwanted and factually incorrect text. In this work, we propose a…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗