Amir Taubenfeld

2 accepted papers

2025

Confidence Improves Self-Consistency in LLMs

Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman +1

ACL 2025finding

Self-consistency decoding enhances LLMs’ performance on reasoning tasks by sampling diverse reasoning paths and selecting the most frequent answer. However, it is computationally expensive, as sampling many of these (lengthy) paths is required to increase the chances that the correct answer emerges…

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

Systematic Biases in LLM Simulations of Debates

Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein

EMNLP 2024main

The emergence of Large Language Models (LLMs), has opened exciting possibilities for constructing computational simulations designed to replicate human behavior accurately. Current research suggests that LLM-based agents become increasingly human-like in their performance, sparking interest in using…

Cited by 42 Source ↗PDF ↗Scholar ↗