Assessing How Stimulus Quality Shapes Evaluations of LLM Syntactic Competence: A Focus on Parasitic Gaps

The Argument from the Poverty of the Stimulus (APS) remains a key focus in linguistics and cognitive science, yet recent research using Large Language Models (LLMs) to investigate this argument has shown inconsistent outcomes when testing various synt

Authors

Institutions

Publication Details

Published
2025-10-13
DOI
https://doi.org/10.22541/au.176038149.91373355/v1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing How Stimulus Quality Shapes Evaluations of LLM Syntactic Competence: A Focus on Parasitic Gaps

Naranhvwar Tvlg
Natural Language Processing Techniques
article

Assessing How Stimulus Quality Shapes Evaluations of LLM Syntactic Competence: A Focus on Parasitic Gaps

Naranhvwar Tvlg
article en

Abstract

The Argument from the Poverty of the Stimulus (APS) remains a key focus in linguistics and cognitive science, yet recent research using Large Language Models (LLMs) to investigate this argument has shown inconsistent outcomes when testing various synt

Mongolian University of Science and Technology (MN)
Openalex Percentile: Top 85%
Natural Language Processing Techniques
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessing How Stimulus Quality Shapes Evaluations of LLM Syntactic Competence: A Focus on Parasitic Gaps — Naranhvwar Tvlg · (2025) | TGRS Research Map | TGRS