AFFORDANCE20Q: Evaluating Affordance Reasoning from Physical Properties

arXiv:2606.14240 · cs.AI · Submitted 2026-06-12 · Read on arXiv

cs.AI

Submitted: 2026-06-12

Updated: 2026-08-28

Code: https://github.com/1171-jpg/Affordance20Q

Terminology

• Affordance — 177× in this paper · explained in 1 episode
• Benchmark — 28× in this paper · explained in 2 episodes
• Success Rate — 12× in this paper
• KB-Anchored Rule Induction — 7× in this paper
• Information Gain — 5× in this paper · explained in 2 episodes
• EMMA — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Knowledge Graph — 3× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Initial Data — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Procedural Knowledge — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Phi-4 Technical Report
• NVIDIA Nemotron 3: Efficient and Open Intelligence
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Reasoning about Affordances: Causal and Compositional Reasoning in LLMs
• Active Task Disambiguation with LLMs
• The Llama 3 Herd of Models
• Holistic Evaluation of Language Models
• OpenAI GPT-5 System Card
• Ministral 3
• Gemma 3 Technical Report
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• GPT-4 Technical Report
• Afford-X: Generalizable and Slim Affordance Reasoning for Task-oriented Manipulation
• A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
• PartAfford: Part-level Affordance Discovery from 3D Objects
• Qwen3 Technical Report
• The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection