Bottlenecks of Vision Language Models in Image to PDDL State Extraction

Authors

Gaëlic Bechu (ORCID: https://orcid.org/0000-0002-6461-6061)
Ehsan Abbasnejad
Panagiotis Papadakis (ORCID: https://orcid.org/0000-0002-2193-8087)
Mihai Andries

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-12-08
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

Bottlenecks of Vision Language Models in Image to PDDL State Extraction

Gaëlic Bechu, Ehsan Abbasnejad, Panagiotis Papadakis, Mihai Andries

Dec 8, 2025

SPIRE - Sciences Po Institutional REpository

Natural Language Processing Techniques

article

Bottlenecks of Vision Language Models in Image to PDDL State Extraction

Gaëlic Bechu, Ehsan Abbasnejad, Panagiotis Papadakis, Mihai Andries

December 8, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Openalex Percentile: Top 18%

Natural Language Processing Techniques

OpenAlex

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.

Bottlenecks of Vision Language Models in Image to PDDL State Extraction — Gaëlic Bechu, Ehsan Abbasnejad, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS