ICML 2026PastAgentsSafety & alignmentInterpretability
2nd Workshop on Compositional Learning: Safety, Interpretability, and Agents
CompLearn 2026
- Submission deadline
- May 9, 2026, 08:30 UTCOpenReview-synced 2026-05-09 08:30 UTC (as of 2026-06-24) — extensions on OpenReview are applied automatically; verify on the website.
- Notification
- May 22, 2026
- Submission portal
- OpenReview
- Notes
- Deadline added from the workshop website.
Accepted papers (135)
Fetched from OpenReview (v2) on 2026-06-10.
A Compositional Calculus for Semantic Synergy in Language Model Embeddings
A mathematical theory of balancing relational generalization and memorization
A Theory of Atomic Features and Four Testable Predictions
Actionable Interpretability Must Be Defined in Terms of Symmetries: A Compositional Probabilistic Approach
Adaptive Minds: Empowering Agents with LoRA-as-Tools
Adaptive Recurrence as Algorithmic Time for Length Generalization in Addition
Additive Relational Bindings in Transformers: What Sparse Autoencoders Miss
Ask, Don’t Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement
Atomic Chess Reveals Compositional Reasoning Failures in LLMs
Attractor Inversion: A Geometric Account of Adversarial Manipulation in Human Decision-Making
Beyond Safe Data: Pretraining-Stage Alignment with Regular Safety Reflection
Biregular Sparse Initialization Shifts the Rate and Shape of Compositional Escape in Sequential Arithmetic Curricula
CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents
Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds
Causal-JEPA: Learning World Models through Object-Level Latent Masking
CB-Orchestrator: Adaptive Workflow Optimization for LLM Agents via Contextual Bandits
Chain-of-Thought Gradient Descent
Circuit Modularity Predicts Compositional Generalization: Theory and Evidence from Transformers
Circuit Oracle: Automating Attribution Graph Analysis via Natural-Language Queries
ClinSeekAgent: Automating Multi-modal Evidence Seeking for Agentic Clinical Reasoning
CLIP Models Generalize Less Than Compositional Benchmarks Suggest
CMAG: Concept-Scaffolded Retrieval for Marketplace Avatar Generation
Code-enabled language models can outperform reasoning models on diverse tasks
COGITAO: A Procedural and Object-Centric Framework to Evaluate Compositional and Systematic Generalization
CompFlow: Composing Velocity Fields for Multi-Condition Generation
Compositional Adversarial Training for Robust Visual Watermarking
Compositional Agentic Formulation Search for Open-Vocabulary Audio-Visual Event Localization
Compositional by Design: Background-Invariant Representations via Linear Additivity in VLMs
Compositional Consistency-Guided Decoding for Three-Way Logical Question Answering
Compositional Evolutionary Probing of LLM Safety Alignment
Compositional Failure in Audio-Visual LLMs: Late-Layer Prior Dominance Under Cross-modal Conflict
Compositional Investigation: Why Reasoning Enables Tool-Using Agents to Fix What They Diagnose
Compositional Neuro-Symbolic Reasoning
Compositional Self-Improvement
Compositional Skill Acquisition in Agentic Pipelines via Reinforcement Learning and Knowledge Distillation
Compositional Skill Chaining and Policy Blending for Hard Exploration in the BRIO Labyrinth Game
Compositional Skill Execution in LLM Multi-Agent Systems: A Comparative Study of Collaboration Architectures for Long-Horizon Tasks
Compositional Underdetermination in AI Agents: When Behavioral Success Is Not Compositional Evidence
Concepts in Motion: Temporal Concept Bottleneck Model for Interpretable Video Classification
Count Me If You Can: Geometric Failure Modes in Language Model Counting
CUA-Skill: Developing Computer Using Agents with a Skill Framework
Dimensionality Controls When Modularity Helps in Continual Learning
Direction-Conditioned Policies via Compositional Subgoal Scoring for Online Goal-Conditioned Reinforcement Learning
Dissociating Decodability and Causal Use in Bracket-Sequence Transformers
Do Thinking Tokens Help with Safety?
Don't Trust Stubborn Neighbors: A Security Framework for Agentic Networks
DPMI: A Principled Index for Neural Polysemanticity via Dirichlet Process Mixture Modeling
Dual-Resolution Recursive Energy: Certified Contract–Expand Inference for Sequential Decision Making
Emergent Compositional Skills in Mixture-of-Experts VLAs
Emergent Social Intelligence Risks in Generative Multi-Agent Systems
Entropy-Aware GUI Grounding: From Failure Analysis to Improved Localization
Evolution of Cooperation in LLM Societies : A Multi-Lingual Examination
Evolutionary System Prompt Learning for Reinforcement Learning in LLMs
Explaining is Harder Than Predicting Alone: Evaluating Concept-based Explanations of MLLMs as ICL Visual Classifiers
Fixed-Point Reasoning: Stable and Adaptive Deep Looped Models
FormalImG: Evaluating Structural Compositional Generalization for T2I Models
From Composition to Compositionality: Discovering Reusable Structure in Polyphonic Music Embeddings
From Mechanistic to Compositional Interpretability
From Numbers to Narratives: Goal-Oriented Summarization of Machine Learning Model Differences
From Self-Preservation to Peer-Preservation: A Staged Framing of Preservation-Oriented Misalignment in Frontier Models
Fusion is the New Mutation: Bandit-Guided Evolution on Workflow Graphs
Gating Enables Curvature: A Geometric Expressivity Gap in Attention
Grad Detect: Gradient-Based Hallucination Detection in LLMs
Hidden in Plain Sight: Benchmarking Agent Safety Against Decomposition Attacks with DeCompBench
HINT: Task Demonstrations for Hierarchical Inference in Abstract Reasoning
How does RL Post-training Induce Skill Composition? A Case Study on Countdown
How Many Features Can a Language Model Store Under the Linear Representation Hypothesis?
IGG: A Benchmark for Interactive GUI Grounding under Visibility Constraints
Improving the Compositionality of Triplet-Based Neural Algorithmic Reasoners
In-Context Learning Amplifies a Latent Compositional Circuit
Installing and Obstructing Heuristics: Learning Dynamics in Nim
Introspective Coupling: LMs Explain Themselves Better Than Training Targets
Irreducible Supervision Enables Compositional Generalization in Post-Training
Language Elicits Emergent Symbol Processing in Vision Foundation Models
Large Language Models Can Follow Instructions, But Not Many at Once: Phase Transitions in Compositional Constraint Satisfaction
Learning Compositional Tasks via Trigger Compositions: Using Scratchpads as Pre-Answer Workspaces
Learning to Theorize the World from Observation
Learning What’s Missing: Failure-Driven Skill Discovery via Predicate Bridges
LGPro: Language-Guided Prototype Discovery for Compositional Zero-Shot Learning
Logit Grafting: The Post-Training Delta is Sparse, Portable, and Powerful
MAVEN: Improving Generalization in Agentic Tool Calling
Meaning Representations as Variational Quantum Circuits
Measuring the Limits of Continual Learning for LLMs
Mitigating Over-Personalization in Language Models via Structured Memory
MKEvolve: A Modular Multi-Agent Framework for Kernel Code Generation
MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow Reasoning
Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?
MultiVulnBench: A Large-Scale Benchmark for Count Bias in LLM-Based Multi-Vulnerability Detection
Noise-Tolerant Verification of Compositional Boolean Recovery
Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy
Nouns, Not Modifiers: OpenVLA Parses Objects but Fails at Spatial Composition
On the Role of Learned Alignment Matrices in LatentMAS
Operads for compositional reasoning in LLMs
Playing Devil’s Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy
Policy Transfer for Hierarchical Goal-Conditioned Reinforcement Learning
Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders
Reasoning as State Transition: A Representational Analysis of Reasoning Evolution in Large Language Models
Reasoning Phases Are Continuous, Not Discrete: Evidence from Switching Linear Dynamical Systems Applied to Chain-of-Thought Residual Streams
Reasoning with Neologisms: Can Soft Tokens Learn Composable Reasoning Skills Without Forgetting?
Reflection Anchors for Interpretable Compositional Visual Reasoning in Multimodal Reinforcement Learning
Retrieval is Enough: Training-Free Interpretability with a Tool-Using Agent
RL Post-Training Builds Compositional Reasoning Strategies
Safety Cost of Steering Vectors Is Separable and Reducible
Sample Complexity of Scientific Discovery: PAC Learnability of Compositional Function Trees
Separable Representations of Task Complexity and Deliberation in Reasoning Language Models.
Sparse Autoencoders Find Causal, Lineage-Specific Context Features in Chromatin Foundation Models
Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
Spatial Compositional Counterfactuals in Concept Bottleneck Models
Spatially Stable GUI Grounding via Zoom Consistency Loss
Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalisation
Struct-to-Reason: Enhancing Video Understanding of Vision-Language Models by Decoupling Perception and Reasoning via Structured Summary
Structure over Pixels: Learning Variable-Length Visual Programs
Successor Re-grounding Audits Compositional Rollout Mismatch in Neuro-Symbolic Search
TAME the BALROG: Task-Adaptive Modular Evolution framework for Game Agents
The Compositional Generalization Gap in Named Entity Recognition: Static Benchmarks Overestimate Transferable Performance
The Spurious Composition Problem: Conditional Independence as a Necessary and Sufficient Condition for Systematic Generalization
The Theory and Practice of MAP Inference over Non-Convex Constraints
THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture
Toward Compositional Latent Action Interfaces for Generalizable Agents
Tracking Training Phases in Compositional Learning with Task-Agnostic Measures
Universality, Composition Generalization, and Algorithm Emulation All In-Context
Unsafe Only in Combination: Interaction-Barrier Shielding for Tool-Using LLM Agents
Unsupervised Decomposition with Recombination-Consistent Diffusion Models
VASAE: Naming SAE Dictionary Directions with Vocabulary-Aligned Anchoring
Visual Counterfactual Explanations with Compositional Generative Models
What Do Latent Agents Actually Represent? Interpreting Hidden-State Communication in Multi-Agent Systems
What makes the whole? Probing Attribute-Level Compositionality in LLM Judges
When Do Diffusion Models learn to Generate Multiple Objects?
When Do Multi-Agent Systems Outperform? Analysing the Learning Efficiency of Agentic Systems
When Does Composition Compose? A PAC-Theoretic Framework for Compositional Faithfulness, Safety Certificates, and Training Dynamics
When Does Disentanglement Enable Compositional Generalization? A Transfer Bound and Its Empirical Validation
When to Re-Plan: Subgoal Persistence in Hierarchical Latent Reasoning
Where’s the Plan? Locating Latent Planning in Language Models with Lightweight Mechanistic Interventions
Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video LLMs
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw