{"total":43,"rows":[{"id":"2506.10943","title":"Self-Adapting Language Models","created":"2025-06-12","cited_by_count":84,"area":null},{"id":"2512.24695","title":"Nested Learning: The Illusion of Deep Learning Architectures","created":"2025-12-31","cited_by_count":72,"area":null},{"id":"2510.01346","title":"Aristotle: IMO-level Automated Theorem Proving","created":"2025-10-01","cited_by_count":58,"area":null},{"id":"2605.27276","title":"SIA: Self Improving AI with Harness & Weight Updates","created":"2026-05-26","cited_by_count":21,"area":null},{"id":"2505.12392","title":"SLOT: Sample-specific Language Model Optimization at Test-time","created":"2025-05-18","cited_by_count":18,"area":null},{"id":"2604.18572","title":"Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale","created":"2026-04-20","cited_by_count":16,"area":null},{"id":"2603.12255","title":"Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training","created":"2026-03-12","cited_by_count":11,"area":null},{"id":"2511.00162","title":"ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus","created":"2025-10-31","cited_by_count":10,"area":null},{"id":"2506.00635","title":"Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting","created":"2025-05-31","cited_by_count":9,"area":null},{"id":"2510.10223","title":"You only need 4 extra tokens: Synergistic Test-time Adaptation for LLMs","created":"2025-10-11","cited_by_count":6,"area":null},{"id":"2509.24510","title":"Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models","created":"2025-09-29","cited_by_count":5,"area":null},{"id":"2601.22313","title":"Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment","created":"2026-01-29","cited_by_count":4,"area":null},{"id":"2602.02331","title":"TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour","created":"2026-02-02","cited_by_count":4,"area":null},{"id":"2507.04221","title":"Context Tuning for In-Context Optimization","created":"2025-07-06","cited_by_count":3,"area":null},{"id":"2509.25741","title":"Test time training enhances in-context learning of nonlinear functions","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2512.06104","title":"ARC-AGI Without Pretraining","created":"2025-12-05","cited_by_count":3,"area":null},{"id":"2604.00830","title":"Meta-TTL: Meta-Learning Self-Improvement Policies for Language Agents","created":"2026-04-01","cited_by_count":3,"area":null},{"id":"2604.18839","title":"One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models","created":"2026-04-20","cited_by_count":3,"area":null},{"id":"2605.14477","title":"Test-Time Learning with an Evolving Library","created":"2026-05-14","cited_by_count":3,"area":null},{"id":"2605.22613","title":"Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery","created":"2026-05-21","cited_by_count":3,"area":null},{"id":"2512.09006","title":"Llama-based source code vulnerability detection: Prompt engineering vs Fine tuning","created":"2025-12-09","cited_by_count":2,"area":null},{"id":"2606.03979","title":"Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2609.21181","title":"Implicit Rule Induction with Test-Time Task Embeddings in ARC-like Tasks","created":"2026-09-18","cited_by_count":2,"area":null},{"id":"2505.16060","title":"Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2510.20653","title":"Finding the Sweet Spot: Trading Quality, Cost, and Speed During Inference-Time LLM Reflection","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2512.02882","title":"OptPO: Optimal Rollout Allocation for Test-time Policy Optimization","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2602.16704","title":"Reinforced Fast Weights with Next-Sequence Prediction","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2605.20105","title":"Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2606.21891","title":"Learning the ARTS of Search for Automated Discovery","created":"2026-06-20","cited_by_count":1,"area":null},{"id":"2607.09415","title":"Self-Guided Test-Time Training for Long-Context LLMs","created":"2026-07-10","cited_by_count":1,"area":null},{"id":"2508.08298","title":"Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2604.06262","title":"From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2605.11328","title":"Epistemic Uncertainty for Test-Time Discovery","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2606.07999","title":"Efficient Skill Grounding via Code Refactoring with Small Language Models","created":"2026-06-06","cited_by_count":0,"area":null},{"id":"2607.20792","title":"Memoir: Should a Model Write to Its Memory While It Thinks?","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2608.12325","title":"Position: Reasoning is a Learnable Rule-Based Process","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2609.24352","title":"Few-Shot Demonstrations Elicit the Use of In-Context World Representations in LLMs","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.28250","title":"Complementary Roles of Activation and Parametric Memory in Few-Shot Learning","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.32619","title":"Intuition vectors","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.33722","title":"BOReFT: Manifold Steering of Language Models for Black-box Optimization","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.35704","title":"DynaTokens: Teaching Dynamics to Camera-Controlled Video Models at Test Time","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.13660","title":"Pretraining and Test-Time Training Budgets Matter for ARC: A Controlled Study of VARC and TRM","created":"2026-10-09","cited_by_count":0,"area":null},{"id":"2610.17370","title":"HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}