ICLR 2026PastMath & reasoningNeuroscience
ICLR 2026 Workshop - From Human Cognition to AI Reasoning: Models, Methods, and Applications
HCAIR 2026
- Submission deadline
- Feb 16, 2026, 11:59 UTCOpenReview-synced 2026-02-16 11:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (46)
Fetched from OpenReview (v2) on 2026-06-10.
A Cognitive Lens on Selective Memory in Neural Sequence Models: Surprise, Replay, and Consolidation
A Cortically Inspired Architecture for Modular Perceptual AI
A Framework for Aligning Human Linguistics and AI Perception
A Human-inspired Framework for Continuous Spacial Reasoning with Tangram Puzzles
Affective Multimodal Agents with Proactive Knowledge Grounding for Aligned Marketing Dialogue
Alignment has a Fantasia Problem
Amodal Completion of Occluded Objects in Deep Neural Networks: A Psychophysical Investigation
Cognitive Foundations for Reasoning and Their Manifestation in LLMs
Cognitive Models as Evaluation Primitives in Humanoid Factors
CoTZero: Annotation-Free Human-Like Vision Reasoning via Hierarchical Synthetic CoT
Decomposing ARC Programs to Create Simpler Tasks
Democratic ICAI: Debating Our Way to Steering Principles from Preferences
Detection of Adversarial Intent in Human-AI Teams Using LLMs
Directional Confusions Reveal Inductive Bias Through Rate–Distortion Geometry
Discovering Differences in Strategic Behavior between Humans and LLMs
Do Large Language Models Mentalize When They Teach?
Do LLMs Share Human-Like Biases? Causal Reasoning Under Prior Knowledge, Irrelevant Context, and Varying Compute Budgets
Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
From Examples to Solutions: A Cognitive Framework for LLM Code Generation
From Human Intuition to Causal Graphs: A DOLCE-Based Human-Ensembled Neuro-Symbolic Architecture
From Interaction to Abstraction: Using Behavior and Brain Activity to Evaluate How AI Systems Learn Games
Gemma Needs Therapy: Investigating and Mitigating Emotional Instability in LLMs
Hidden Meanings in Plain Sight: RebusBench for Evaluating Cognitive Visual Reasoning
Human-Guided Causal Hypothesis Testing for Remote Sensing Anomaly Detection
Intelligent Robot Manipulation Requires Self-Directed Learning
Know the Patient, Not Just the Disease: Modeling Human Mental States Through Graph-Based Relational Reasoning
Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
Learning Transferable Latent User Preferences for Human-Aligned Decision Making
Math Takes Two: A test for emergent mathematical reasoning in communication
Me, Myself, and $\pi$: Evaluating and Explaining LLM Introspection
Mechanisms of Introspective Awareness
MIND:MULTI-AGENT INFERENCE FOR NEGOTIATION DIALOGUE IN TRAVEL PLANNING
MindZero: Learning Online Mental Reasoning With Zero Annotations
MIRROR: Converging Cognitive Principles as Computational Mechanisms for AI Reasoning
Multi-shot AutoInterp: Agents Can Explain Complex Features By Refining Explanations
Representing expertise accelerates learning from pedagogical interaction data
TESTING BEHAVIORAL THEORIES OF MOTIVATION IN ATARI AGENTS
The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind
The Era of Real-World Human Interaction: RL from User Conversations
Toward a Reasoning Curriculum for Brain-Trained Foundation Models
Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
Understanding the Anchoring Effect of LLM with Synthetic Data: Existence, Mechanism, and Potential Mitigations
When AI Agents Disagree Like Humans: Reasoning Trace Analysis for Human-AI Collaborative Moderation
WHO PREFERS STRUCTURED REASONING? AI JUDGES DO, DOMAIN EXPERTS SPLIT
Wild Guesses and Mild Guesses in Active Concept Learning