activity
20232026
most citedExploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters

28 citations · 30 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

Agent-based imitation dynamics can yield efficiently compressed population-level vocabularies

Nathaniel Imel, Richard Futrell, Michael Franke +1

Natural languages have been argued to evolve under pressure to efficiently compress meanings into words by optimizing the Information Bottleneck (IB) complexity-accuracy tradeoff.…

cs.CL2025★ 1 cited

Clarifying orthography: Orthographic transparency as compressibility

Charles J. Torres, Richard Futrell

Orthographic transparency -- how directly spelling is related to sound -- lacks a unified, script-agnostic metric. Using ideas from algorithmic information theory, we quantify orth…

cs.CL2025

Strategic resource allocation in memory encoding: An efficiency principle shaping language processing

Weijie Xu, Richard Futrell

How is the limited capacity of working memory efficiently used to support human linguistic behaviors? In this paper, we propose Strategic Resource Allocation (SRA) as an efficiency…

cs.CL2024★ 1 cited

A hierarchical Bayesian model for syntactic priming

Weijie Xu, Richard Futrell

The effect of syntactic priming exhibits three well-documented empirical properties: the lexical boost, the inverse frequency effect, and the asymmetrical decay. We aim to show how…

cs.CL2023★ 28 cited

Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and Hyperparameters

Manikanta Loya, Divya Anand Sinha, Richard Futrell

The advancement of Large Language Models (LLMs) has led to their widespread use across a broad spectrum of tasks including decision making. Prior studies have compared the decision…