ICLR 2026 Past Other
Third Workshop on Test-Time Updates (Main Track)
TTU at ICLR 2026 (Main)
- Submission deadline
- Feb 7, 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 (48)
Fetched from OpenReview (v2) on 2026-06-10.
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Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models
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An Optimal Transport View of Activation Steering In Masked Diffusion Models
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Caravan: Asynchronous Test-Time Adaptation for Faster Inference
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Challenges in Inference-Time Scaling with Uncertainty-Aware Tree Search
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Directional Textual Inversion for Personalized Text-to-Image Generation
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Directly Optimizing Calibrated Test-Time Uncertainty
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Dr.LLM: Dynamic Layer Routing in LLMs
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DSL-Monkeys: Self-Generated In-Context Examples for Low-Resource GPU DSL Kernels
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Efficient Test-Time Adaptation via Decoupled BN Update For Edge Devices
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Elbow-based MoE Routing: A Training-Free Inference Time Plugin for Expert Selection
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EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
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EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages
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GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
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HiDRA: A Blazing Fast LM-Head Replacement
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Hyper Experts: Language Models With Inference-Time Layer Reallocation
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Is Depth Heterogeneity a Barrier to Model Merging?
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Joint Consistency: A Unified Test-Time Aggregation Framework with Pairwise Comparisons
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KVpop - Retrofitting LLMs with xLSTM-guided Token Eviction
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Leveraging RAG for Training-Free Alignment of LLMs
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LookSharp: Attention Entropy Minimization for Test-Time Adaptation
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Majority Voting For Code Generation
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MMT: Achieving Exact Federated Unlearning with Improved Post-Unlearning Performance
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MORPHEUS: Meta Test-Time Adaptation via Neural Collapse Geometry
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On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference
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On the Path Dependence of Gradient Ascent-Based Unlearning
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Persistent internal state helps maintain learning plasticity
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Probing and Steering Chain-of-Thought Unfaithfulness in Language Models
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ProtoTTA: Prototype-Guided Test-Time Adaptation
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RDUMB++: DRIFT-AWARE CONTINUAL TEST-TIME ADAPTATION
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Reference-Guided Machine Unlearning
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Refusal-Orthogonal Gated Editing for Safer Localized LLM Adaptation
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Reinforced Fast Weights with Next-Sequence Prediction
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Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion
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Retrieval, Refinement, and Ranking for Text-to-Video Generation via Prompt Optimization and Test-Time Scaling
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Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
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Self-Soupervision: Cooking and Seasoning Model Soups without Labels for Adaptation
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Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
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SimMerge: Learning to Select Merge Operators from Similarity Signals
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Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing
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Terminator: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
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Test-Time Adaptation of High-Dimensional Simulation Surrogates via D-Optimal Statistics
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Test-time Graph Extrapolation via Progressive Anchor-Guided Expansion
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Test-Time Planning for Robust Imitation: Learning to Search for Recovery in Autonomous Driving
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Test-Time Self-Distillation
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Towards Reasoning Reuse: A New Paradigm in Model Collaboration
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TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly
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When is Model Souping Tasty? Similarity, Transitivity, and Robustness
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ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse