Cover Image

Do Multi-Agents Dream of Electric Screens? Achieving Perfect Accuracy on AndroidWorld Through Task Decomposition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Favreau, Pierre-Louis, Lo, Jean-Pierre, Guiguet, Clement, Simon-Meunier, Charles, Dehandschoewercker, Nicolas, Roush, Allen G., Goldfeder, Judah, Shwartz-Ziv, Ravid
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
by: Paech, Samuel, et al.
Published: (2025)

A superpersuasive autonomous policy debating system
by: Roush, Allen, et al.
Published: (2025)

AI Must Embrace Specialization via Superhuman Adaptable Intelligence
by: Goldfeder, Judah, et al.
Published: (2026)

Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
by: Nguyen, Minh Nhat, et al.
Published: (2024)

NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks
by: Reneau, Alex, et al.
Published: (2025)

Learning to Compress: Local Rank and Information Compression in Deep Neural Networks
by: Patel, Niket, et al.
Published: (2024)

Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures
by: Ioannides, Georgios, et al.
Published: (2026)

Exploring Human-AI Conceptual Alignment through the Prism of Chess
by: Lomasov, Semyon, et al.
Published: (2025)

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
by: Rawles, Christopher, et al.
Published: (2024)

Generating Auxiliary Tasks with Reinforcement Learning
by: Goldfeder, Judah, et al.
Published: (2025)

Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests
by: Yost, Alexandra, et al.
Published: (2025)

Video Representation Learning with Joint-Embedding Predictive Architectures
by: Drozdov, Katrina, et al.
Published: (2024)

OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
by: Roush, Allen, et al.
Published: (2024)

Do Androids Know They're Only Dreaming of Electric Sheep?
by: CH-Wang, Sky, et al.
Published: (2023)

When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
by: Sanyal, Sunny, et al.
Published: (2024)

The Entropy Enigma: Success and Failure of Entropy Minimization
by: Press, Ori, et al.
Published: (2024)

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
by: LeVi, Amit, et al.
Published: (2025)

Evidence of an Emergent "Self" in Continual Robot Learning
by: Jhunjhunwala, Adidev, et al.
Published: (2026)

Does Representation Matter? Exploring Intermediate Layers in Large Language Models
by: Skean, Oscar, et al.
Published: (2024)

Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
by: Shaar, Eitan, et al.
Published: (2026)

From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
by: Shani, Chen, et al.
Published: (2025)

On Training in Imagination
by: Timor, Nadav, et al.
Published: (2026)

Variance-Covariance Regularization Improves Representation Learning
by: Zhu, Jiachen, et al.
Published: (2023)

Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
by: Chen, Angelica, et al.
Published: (2023)

The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
by: Janiak, Denis, et al.
Published: (2025)

Perfect Bayesian Persuasion
by: Lipnowski, Elliot, et al.
Published: (2024)

Bi-Encoder Contrastive Learning for Fingerprint and Iris Biometrics
by: So, Matthew, et al.
Published: (2025)

Creative synthesis of kinematic mechanisms
by: Lin, Jiong, et al.
Published: (2025)

Desarrollo local, economía popular y economía solidaria en América Latina: un itinerario de 30 años en Villa el Salvador, Perú
by: Louis Favreau
Published: (2002)

An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
by: Shwartz-Ziv, Ravid, et al.
Published: (2023)

Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
by: Zeevi, Tal, et al.
Published: (2024)

Between Institutional Loneliness and Visibility: Low‐Income Families Navigating Housing Insecurity in Social Welfare Programs
by: Tamar Shwartz‐Ziv, et al.
Published: (2025)

Beyond the Loss Curve: Scaling Laws, Active Learning, and the Limits of Learning from Exact Posteriors
by: Khorasani, Arian, et al.
Published: (2026)

Layer Importance for Mathematical Reasoning is Forged in Pre-Training and Invariant after Post-Training
by: Nepal, Aadim, et al.
Published: (2025)

Consistencia de indicadores de especialización en el comercio internacional. Aplicación al caso de la mantequilla en Argentina y Uruguay
by: Edith Depetris Guiguet
Published: (2010)

DESEMPEÑO COMPETITIVO DE ARGENTINA Y URUGUAY EN LA LECHE EN POLVO
by: Edith Depetris Guiguet
Published: (2009)

Naked statistical evidence and verdictive justice
by: Sherrilyn Roush
Published: (2024)

JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention
by: Ioannides, Georgios, et al.
Published: (2025)

Just How Flexible are Neural Networks in Practice?
by: Shwartz-Ziv, Ravid, et al.
Published: (2024)

UAT-LITE: Inference-Time Uncertainty-Aware Attention for Pretrained Transformers
by: Hossain, Elias, et al.
Published: (2026)