ICLR 2026 Past Math & reasoning
Workshop on Latent & Implicit Thinking – Going Beyond CoT Reasoning
LIT Workshop @ ICLR 2026
- Submission deadline
- Feb 9, 2026, 12:00 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 (78)
Fetched from OpenReview (v2) on 2026-06-10.
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ActivationReasoning: Logical Reasoning in Latent Activation Spaces
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Adaptive Loops and Memory in Transformers: Think Harder or Know More?
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All Roads Lead to Rome: Distilling Verifiable Reasoning via Shared Decision Pivots
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Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory
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Are Latent Reasoning Models Easily Interpretable?
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Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling
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Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge
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Bypassing the Rationale: Causal Auditing of Implicit Reasoning in Language Models
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Can the Future Inform the Present? Investigating Latent Lookahead Refinement via Multi-Token Prediction
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ConFu: Contemplate the Future for Better Speculative Sampling
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Cross-Layer Clustering for Stochastic Parameter Decomposition
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Debugging code world models
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Denoising is not the End: Discrete Diffusion Language Models with Self-Correction
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Discovering Interpretable Algorithms by Decompiling Transformers to RASP
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Do Depth-Grown Models Overcome the Curse of Depth? An In-Depth Analysis
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Dual-Channel Steering: Combining Explicit Prompting and Implicit Parameter Modulation for Reasoning Diversity
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Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
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Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
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Emergent Analogy in Transformers
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Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughts
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Energy-Conditioned Thinking: A Three-State Framework for Adaptive Depth and Halting
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From Growing to Looping: A Unified View of Iterative Computation in LLMs
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How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision?
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How to Train Your HRM
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Implicit Statistical Inference in Transformers: Approximating Likelihood-Ratio Tests In-Context
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Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning
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Is continuous CoT better suited for multilingual reasoning?
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LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation
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LASER: Low-Rank Activation SVD for Efficient Recursion
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Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For Reasoning
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LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
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Learning Efficient Latent Reasoning with Abstract Chain-of-Thought
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Learning from Partial Chain-of-Thought via Truncated-Reasoning Self-Distillation
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Learning Multi-step Reasoning via Persistent Latent State Propagation
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Learning State-Tracking from Code: REPL Traces and Probabilistic Automata
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Learning to Execute Graph Algorithms Exactly with Graph Neural Networks
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Lightweight Latent Reasoning for Narrative Tasks
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LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations
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LOOK BEFORE YOU LEAP: THERMODYNAMIC ARBITRATION OF PARAMETRIC AND NON-PARAMETRIC KNOWLEDGE IN LLM AGENTS VIA SELF-REGULATING MEMORY ARCHITECTURES
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Mechanisms of Introspective Awareness
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Mechanistic Analysis Of Universality: Numerical Comparison Circuits Across Transformer Architectures
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Mechanistic Evidence for Faithfulness Decay in Chain-of-Thought Reasoning
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MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning
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Modeling Tool Use in Transformers via Computation Oracles
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Offline RL with Hierarchical Action Chunking
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On the Residual Scaling of Looped Transformers: Stability and Transferability
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One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
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Parcae: A Dynamical Systems Perspective to Stable Looped LLMs
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Polestar-Cache: Reconciling Parallel Decoding and Accuracy in Diffusion LLMs via Token Drift-Aware KV Cache Recalibration
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Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space
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RECURRENT-DEPTH VLA: IMPLICIT TEST-TIME COMPUTE SCALING OF VISION–LANGUAGE–ACTION MODELS VIA LATENT ITERATIVE REASONING
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Recursive Reasoning as Attractor Landscape Search: Mechanistic Dynamics of the Tiny Recursive Model
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Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference
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RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
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SEMIE: Semantic Entropy-Informed Decoding
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Single-Position Intervention Fails: Distributed Output Templates Drive In-Context Learning
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T2MLR: Transformer with Temporal Middle-Layer Recurrence
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Task-Specific Knowledge Distillation via Intermediate Probes
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Test-Time Meta-Adaptation with Self-Synthesis
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The Illusion of Superposition in Latent CoT via Soft Thinking
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The Mechanistic Invariance Test: Genomic Language Models Fail To Learn Positional Regulatory Logic
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The Power of Power Law: Asymmetry Enables Compositional Reasoning
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THINK DEEP, SPEAK ONCE: RELIT, A RECURSIVE LATENT IMPLICIT TRANSFORMER FRAMEWORK
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Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
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Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
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Thinking into the Future: Latent Lookahead Training for Transformers
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Tiny Autoregressive Recursive Models
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Tiny Recursive Reasoning with Mamba-2 Attention Hybrid
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Transformers Provably Learn to Internalize Chain-of-Thought
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TSLM: Tree-Structured Language Modeling for Divergent Thinking
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Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought Models
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Variational Latent Reasoning Guided by Rendered Chain-of-Thought
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When does Chain-of-Thought Help: A Markovian Perspective
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When Intermediate Supervision Doesn’t Help: Evidence from Recurrent CNNs
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When Pruning Breaks Reasoning: Chain-of-Thought Similarity and Faithfulness in Language Models
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When Shallow Wins: Silent Failures and the Depth–Accuracy Paradox in Latent Reasoning
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Which Heads Matter for Reasoning? RL-Guided KV Cache Compression
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ε-Leaf Enumeration: Non-Repeating Self-Consistency via Truncated Tree Search