General Intelligence

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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop
Sep 30, 2026Xinge Peng, Yiting Lu, Tianwu Zhi +4Multimodal Reasoning Perception Pipeline
University of Science and Technology of China · ByteDance · City University of Hong Kong
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
Sep 30, 2026Qize Yu, Lianrui Fan, Boyu Chen +23Diffusion-Based Vision-Language-Actions Grounding
XPeng Inc. · Peking University · The University of Hong Kong +4
Temporal Graph Learning of Wearable Actigraphy and Sleep Traces for Modelling Adolescent Crystallized Intelligence
Sep 27, 2026Md. Tanvir Rahman, Nabil Anan Orka, Asaduzzaman Khan +1Sleep General Intelligence
School of Health and Rehabilitation Sciences, The University of Queensland, QLD 4072, Australia
Policy Complexity, Reaction Time, and Bounded Rationality in Reinforcement Learning
Sep 23, 2026James Wu, Chris R. SimsRationality General Intelligence
Department of Computer Science Rensselaer Polytechnic Institute Troy, NY, 12180 · Department of Cognitive Science Rensselaer Polytechnic Institute Troy, NY, 12180
Intelligence Across Embodiments
Sep 22, 2026Bo Ai, Henrik I. Christensen, Hao SuCross-Embodiment Transfer Embodiment
Stanford University · University of California San Diego · Sudo AI GmbH
Flawed in Nature, Perfect through Evolution
Aug 31, 2026J. M. Diederik KruijssenEvolutionary Optimization Methods General Intelligence
Allora Foundation
Smart Enough to Go Extinct? An Evolutionary Challenge to the Value of General Intelligence and Its Ethical Implications for AGI
Aug 11, 2026David KlotzGeneral Intelligence Ethics
Hochschule der Medien Stuttgart
Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embodied Interaction
Jul 21, 2026Jialian Li, Junhong Liu, Yuchen Cao +6Embodied Artificial Intelligence Embodied
XPENG ROBOTICS
What General Intelligence Requires: Non-Reducible Constraints Across Levels of Description
Jul 21, 2026Subhomoy BakshiGeneral Intelligence Artificial Intelligence Systems
Lakshmikumaran and Sridharan Attorneys, New Delhi, India
PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution
Jul 18, 2026Yang Liu, Weixing Chen, Xinshuai Song +8Embodied Agents Runtime Enforcement
1X-Era Lab · 2HCP Lab, Sun Yat-sen University · 3Peng Cheng Laboratory
FST.ai 2.5: Explainable and Uncertainty-Aware AI for Olympic and Para-Taekwondo Decision Support, Athlete Digital Twins, and Federation-Scale Analytics
Jul 18, 2026Keivan Shariatmadar, Ahmad Osman, Ramin ReyDigital Twins Ai-Based Framework
AutomaTiQ Research Group, htw saar University of Applied Sciences and Fraunhofer IZFP, Saarbrücken, Germany · 2Sport Director, Austrian Taekwondo Union (ATU)
Apple- $π$ : Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence
Jul 17, 2026Runmao Yao, Kairui Hu, Yukang Cao +11Generative Video Models Physical Plausibility
1S-Lab, Nanyang Technological University · 2The Chinese University of Hong Kong
Towards Human-like Physical Intelligence: LifelongVision-Language-Action Learning for Robotic Manipulation
Jul 16, 2026Yao He, Gan Sun, Wenqi Liang +2Diffusion-Based Vision-Language-Actions Vision-Language-Action Framework
South China University of Technology · University of Trento
From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence
Jul 13, 2026Yuanzhi Liang, Xufeng Zhan, Haibin Huang +2Embodied Artificial Intelligence World Models
Bringing Back Rule Induction to Fluid Intelligence Research? An Initial Validation of the ARC-AGI Benchmark in Humans
Jul 13, 2026Jasmin Thelen, Oliver WilhelmGeneral Intelligence Psychometric Properties
Institute of Psychology and Education, Ulm University, Germany
Measuring Intelligence Beyond Human Scale
Jul 8, 2026Jerry Han, Rafael Moschopoulos, Ella Colby +5General Intelligence Psychometric Properties
Princeton Superalignment
Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment
Jul 7, 2026Han-Jun Ko, Jr-Jen Chen, Haobo Yuan +4Visual Reasoning General Intelligence
National Taiwan University · The University of California, Merced
AGC-Bench: Measuring Artificial General Creativity
Jul 1, 2026Roger Beaty, Vijeta Deshpande, Clin K. Y. Lai +9Creativity General Intelligence
1Pennsylvania State University · University of Massachusetts Lowell · University of Amsterdam +2
Thermodynamic Measure of Intelligence
Jun 18, 2026Ishanu ChattopadhyayGeneral Intelligence Intelligence
Institute for Biomedical Informatics, University of Kentucky, Lexington, Kentucky, USA · Department of Computer Science, University of Kentucky, Lexington, Kentucky, USA
A Compositional Framework for Open-ended Intelligence
Jun 13, 2026Ida Momennejad, Roberta RaileanuCompositional Generalization General Intelligence
Microsoft Research NYC, New York, USA · Google DeepMind, London, UK.
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
Jun 9, 2026Yifu Yuan, Yaoting Huang, Xianze Yao +20Embodied Artificial Intelligence Embodied
Tianjin University · Tencent Hunyuan
Measuring Progress Toward AGI: A Cognitive Framework
May 27, 2026Ryan Burnell, Yumeya Yamamori, Orhan Firat +10General Intelligence Cognitive Science
1Google DeepMind
BC Protocol: Structured Dual-Expert Dialogue for Eliciting High-Quality Chain-of-Thought Post-Training Data
May 25, 2026Bo Zou, Chao XuLLM Reasoning Strategies Elicitation
Towards a General Intelligence and Interface for Wearable Health Data
May 21, 2026Girish Narayanswamy, Maxwell A. Xu, A. Ali Heydari +37Wearable Physiology Wearable Devices
1Google Research · University of Washington · University of Illinois Urbana-Champaign +2
Artificial Adaptive Intelligence: The Missing Stage Between Narrow and General Intelligence
May 16, 2026Boris KriukArtificial Intelligence Systems General Intelligence
MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence
May 15, 2026Cheryl Wang, Chun Kwang Tan, Balint K. Hodossy +21Athleticism Biomechanics
1McGill University, Canada · 2National University of Singapore, Singapore · Imperial College London, UK +10
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems
May 14, 2026Shihao Qi, Jie Ma, Rui Xing +15Model-Based Multi-Agent Systems Autonomous Agents
MOE KLINNS Lab · School of Cyber Science and Engineering, Xi’an Jiaotong University · School of Software Engineering, Xi’an Jiaotong University +6
Uneven Evolution of Cognition Across Generations of Generative AI Models
May 7, 2026Isaac Galatzer-Levy, Daniel McDuff, Xin Liu +1Generative Artificial Intelligence Cognitive Science
1Google DeepMind · 2Google Research · University of Washington
From Ontology Conformance to Admissible Reconfiguration: A RoSO/SMGI Adequacy Argument for Robotic Service Governance
May 5, 2026Aomar OsmaniReconfiguration Ontology
Intervention Complexity as a Canonical Reward and a Measure of Intelligence
May 4, 2026Brendan McCaneGeneral Intelligence Intelligence
School of Computing University of Otago Dunedin, New Zealand
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws
Apr 27, 2026Jun Shu, Junxiong Jia, Deyu Meng +1General Intelligence Emergence
School of Mathematics and Statistics, Xi’an Jiaotong University.
Watts-per-Intelligence Part II: Algorithmic Catalysis
Apr 21, 2026Elija PerrierThermodynamics Information-Theoretic Limits
Centre for Quantum Software and Information, University of Technology Sydney, Australia.
Are Large Language Models Economically Viable for Industry Deployment?
Apr 21, 2026Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora +5Rate Scaling Quantization-Aware Training
DSEU-Okhla, New Delhi, India · University of Delhi, New Delhi, India · 6, 8Macquarie University, Sydney, Australia +1
The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models
Jul 25, 2025Ren ZhuangGeneral Intelligence
School of Information Science and Technology, Hangzhou Normal University
Disassociating performance from compositional feature learning
May 14, 2025George Dimitriadis, Spyridon SamothrakisCompositional Generalization Out-Of-Distribution
Computer Science and Electronic Engineering Department of the University of Essex

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PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop

Xinge Peng, Yiting Lu, Tianwu Zhi, Wen Wen+3

University of Science and Technology of China · ByteDance · City University of Hong Kong

Multimodal Reasoning Perception Pipeline General Intelligence Generative Models Loop

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Vision-Language Models (VLMs) have shown strong multimodal reasoning capabilities, yet whether they truly capture the physical consistency underlying real-world dynamics remains unclear. Existing benchmark paradigms often suffer from fragmented evaluation, focusing on isolated cognitive stages while overlooking the inherent synergy between perception, reasoning, and physical judgment. The lack of a holistic perspective limits the ability to diagnose whether VLMs can reliably evaluate the physical authenticity of emerging generative models. To address these issues, we introduce PhysVista, a benchmark designed to evaluate physical intelligence in VLMs through a closed cognitive loop framework inspired by the human seeing-reasoning-assessment process. PhysVista restores this loop by jointly evaluating physical state perception, physical dynamics reasoning, and physical plausibility assessment. It further distinguishes event-level reasoning and scale-level reasoning to enable fine-grained analysis of physical understanding. In addition, PhysVista incorporates both real-world and AI-generated videos, allowing evaluation across diverse domains and emerging generative scenarios. Extensive experiments across a diverse set of VLMs reveal substantial limitations in physical reasoning and plausibility assessment, highlighting a persistent gap between visual recognition and genuine physical understanding, and pointing toward more principled designs for physically grounded multimodal intelligence.

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