Cover Image

The Generalized Turing Test: A Foundation for Comparing Intelligence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mitropolsky, Daniel, Hong, Susan S., Neumarker, Riccardo, Rimoldi, Emanuele, Poggio, Tomaso
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unraveling Syntax: How Language Models Learn Context-Free Grammars
by: Schulz, Laura Ying, et al.
Published: (2025)

Training the Untrainable: Introducing Inductive Bias via Representational Alignment
by: Subramaniam, Vighnesh, et al.
Published: (2024)

Agentic Systems as Boosting Weak Reasoning Models
by: Sunkaraneni, Varun, et al.
Published: (2026)

Hierarchical Reasoning Models: Perspectives and Misconceptions
by: Ge, Renee, et al.
Published: (2025)

Apple Intelligence Foundation Language Models
by: Gunter, Tom, et al.
Published: (2024)

Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Context Management
by: Cui, Guanyu, et al.
Published: (2026)

Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
by: Lu, Cong, et al.
Published: (2024)

pAI/MSc: ML Theory Research with Humans on the Loop
by: Abdelmoneum, Mahmoud, et al.
Published: (2026)

Accelerating Transformer Inference for Translation via Parallel Decoding
by: Santilli, Andrea, et al.
Published: (2023)

Variational Language Concepts for Interpreting Foundation Language Models
by: Wang, Hengyi, et al.
Published: (2024)

Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents
by: Li, Xirui, et al.
Published: (2026)

Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models
by: Islam, Mohammed Saidul, et al.
Published: (2026)

ELSA: A Style Aligned Dataset for Emotionally Intelligent Language Generation
by: Gandhi, Vishal, et al.
Published: (2025)

Position: A Theory of Deep Learning Must Include Compositional Sparsity
by: Danhofer, David A., et al.
Published: (2025)

CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
by: Hu, Zhangyi, et al.
Published: (2026)

Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
by: Xu, Wanghan, et al.
Published: (2025)

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
by: Huang, Yue, et al.
Published: (2025)

Zero-Overhead Introspection for Adaptive Test-Time Compute
by: Manvi, Rohin, et al.
Published: (2025)

Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks
by: Huang, Yuncheng, et al.
Published: (2024)

MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models
by: Kim, Junmo, et al.
Published: (2025)

Communicating Sound Through Natural Language
by: Rossi, Emanuele, et al.
Published: (2026)

Infinite Time Turing Machines and their Applications
by: Weerawarana, Rukmal, et al.
Published: (2025)

TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation
by: Uludoğan, Gökçe, et al.
Published: (2024)

Foundations of Multisensory Artificial Intelligence
by: Liang, Paul Pu
Published: (2024)

Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
by: Xu, Austin, et al.
Published: (2025)

MIO: A Foundation Model on Multimodal Tokens
by: Wang, Zekun, et al.
Published: (2024)

Normality and the Turing Test
by: Kabbach, Alexandre
Published: (2025)

Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation
by: Chen, Peter Baile, et al.
Published: (2025)

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
by: Wahle, Jan Philip, et al.
Published: (2021)

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources
by: Longpre, Shayne, et al.
Published: (2024)

DynaPrompt: Dynamic Test-Time Prompt Tuning
by: Xiao, Zehao, et al.
Published: (2025)

Foundations of Large Language Models
by: Xiao, Tong, et al.
Published: (2025)

Tool Learning with Foundation Models
by: Qin, Yujia, et al.
Published: (2023)

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
by: Guan, Xinyan, et al.
Published: (2024)

Fact-Consistency Evaluation of Text-to-SQL Generation for Business Intelligence Using Exaone 3.5
by: Choi, Jeho
Published: (2025)

Generalist Foundation Models Are Not Clinical Enough for Hospital Operations
by: Jiang, Lavender Y., et al.
Published: (2025)

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
by: Zhou, Xuhui, et al.
Published: (2023)

Multiple Abstraction Level Retrieve Augment Generation
by: Zheng, Zheng, et al.
Published: (2025)

On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study
by: Alberghi, Riccardo, et al.
Published: (2025)

Heterogeneous Scientific Foundation Model Collaboration
by: Li, Zihao, et al.
Published: (2026)