ICLR 2026 Past Math & reasoningNeuroscience
ICLR 2026 Workshop - From Human Cognition to AI Reasoning: Models, Methods, and Applications
HCAIR 2026
- Submission deadline
- Feb 16, 2026, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (46)
Fetched from OpenReview (v2) on 2026-06-10.
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A Cognitive Lens on Selective Memory in Neural Sequence Models: Surprise, Replay, and Consolidation
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A Cortically Inspired Architecture for Modular Perceptual AI
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A Framework for Aligning Human Linguistics and AI Perception
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A Human-inspired Framework for Continuous Spacial Reasoning with Tangram Puzzles
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Affective Multimodal Agents with Proactive Knowledge Grounding for Aligned Marketing Dialogue
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Alignment has a Fantasia Problem
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Amodal Completion of Occluded Objects in Deep Neural Networks: A Psychophysical Investigation
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Cognitive Foundations for Reasoning and Their Manifestation in LLMs
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Cognitive Models as Evaluation Primitives in Humanoid Factors
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CoTZero: Annotation-Free Human-Like Vision Reasoning via Hierarchical Synthetic CoT
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Decomposing ARC Programs to Create Simpler Tasks
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Democratic ICAI: Debating Our Way to Steering Principles from Preferences
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Detection of Adversarial Intent in Human-AI Teams Using LLMs
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Directional Confusions Reveal Inductive Bias Through Rate–Distortion Geometry
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Discovering Differences in Strategic Behavior between Humans and LLMs
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Do Large Language Models Mentalize When They Teach?
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Do LLMs Share Human-Like Biases? Causal Reasoning Under Prior Knowledge, Irrelevant Context, and Varying Compute Budgets
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Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
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Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
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From Examples to Solutions: A Cognitive Framework for LLM Code Generation
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From Human Intuition to Causal Graphs: A DOLCE-Based Human-Ensembled Neuro-Symbolic Architecture
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From Interaction to Abstraction: Using Behavior and Brain Activity to Evaluate How AI Systems Learn Games
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Gemma Needs Therapy: Investigating and Mitigating Emotional Instability in LLMs
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Hidden Meanings in Plain Sight: RebusBench for Evaluating Cognitive Visual Reasoning
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Human-Guided Causal Hypothesis Testing for Remote Sensing Anomaly Detection
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Intelligent Robot Manipulation Requires Self-Directed Learning
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Know the Patient, Not Just the Disease: Modeling Human Mental States Through Graph-Based Relational Reasoning
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Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
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Learning Transferable Latent User Preferences for Human-Aligned Decision Making
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Math Takes Two: A test for emergent mathematical reasoning in communication
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Me, Myself, and $\pi$: Evaluating and Explaining LLM Introspection
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Mechanisms of Introspective Awareness
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MIND:MULTI-AGENT INFERENCE FOR NEGOTIATION DIALOGUE IN TRAVEL PLANNING
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MindZero: Learning Online Mental Reasoning With Zero Annotations
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MIRROR: Converging Cognitive Principles as Computational Mechanisms for AI Reasoning
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Multi-shot AutoInterp: Agents Can Explain Complex Features By Refining Explanations
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Representing expertise accelerates learning from pedagogical interaction data
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TESTING BEHAVIORAL THEORIES OF MOTIVATION IN ATARI AGENTS
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The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind
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The Era of Real-World Human Interaction: RL from User Conversations
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Toward a Reasoning Curriculum for Brain-Trained Foundation Models
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Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
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Understanding the Anchoring Effect of LLM with Synthetic Data: Existence, Mechanism, and Potential Mitigations
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When AI Agents Disagree Like Humans: Reasoning Trace Analysis for Human-AI Collaborative Moderation
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WHO PREFERS STRUCTURED REASONING? AI JUDGES DO, DOMAIN EXPERTS SPLIT
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Wild Guesses and Mild Guesses in Active Concept Learning