{"total":19,"rows":[{"id":"2505.24760","title":"REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards","created":"2025-05-30","cited_by_count":130,"area":null},{"id":"2505.10833","title":"MergeBench: A Benchmark for Merging Domain-Specialized LLMs","created":"2025-05-16","cited_by_count":33,"area":null},{"id":"2503.05683","title":"WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs","created":"2025-03-07","cited_by_count":26,"area":null},{"id":"2502.07274","title":"Forget Forgetting: Continual Learning in a World of Abundant Memory","created":"2025-02-11","cited_by_count":11,"area":null},{"id":"2506.16506","title":"Subspace-Boosted Model Merging","created":"2025-06-19","cited_by_count":9,"area":null},{"id":"2509.11414","title":"Continually Adding New Languages to Multilingual Language Models","created":"2025-09-14","cited_by_count":7,"area":null},{"id":"2510.13537","title":"K-Merge: Online Continual Merging of Adapters for On-device Large Language Models","created":"2025-10-15","cited_by_count":4,"area":null},{"id":"2603.26317","title":"Label-Free Cross-Task LoRA Merging with Null-Space Compression","created":"2026-03-27","cited_by_count":4,"area":null},{"id":"2510.20860","title":"Data-Centric Lessons To Improve Speech-Language Pretraining","created":"2025-10-22","cited_by_count":3,"area":null},{"id":"2603.26299","title":"Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy","created":"2026-03-27","cited_by_count":2,"area":null},{"id":"2606.16501","title":"Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2507.23311","title":"Forgetting of task-specific knowledge in model merging-based continual learning","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2509.23487","title":"Temporal Generalization: A Reality Check","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2601.21690","title":"A Unified Generalization Framework for Model Merging: Trade-offs, Non-Linearity, and Scaling Laws","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.11965","title":"Parameter-Efficient Temporal Domain Generalization","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2604.12935","title":"Task Alignment: A Simple Proxy for Practical Model Merging Across Diverse Vision Tasks","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2605.08311","title":"Revitalizing the Beginning: Avoiding Storage Dependency for Model Merging in Continual Learning","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2607.09785","title":"Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2609.18560","title":"The evolution of sex for artificial intelligence: a population-genetic framework for multigenerational model populations","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}