{"total":21,"rows":[{"id":"2505.05464","title":"Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging","created":"2025-05-08","cited_by_count":40,"area":"lr"},{"id":"2503.04543","title":"Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model","created":"2025-03-06","cited_by_count":16,"area":"lr"},{"id":"2502.00997","title":"MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs","created":"2025-02-03","cited_by_count":13,"area":"lr"},{"id":"2503.04872","title":"TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation","created":"2025-03-06","cited_by_count":12,"area":"lr"},{"id":"2601.13572","title":"Behavior Knowledge Merge in Reinforced Agentic Models","created":"2026-01-20","cited_by_count":11,"area":"lr"},{"id":"2602.12566","title":"To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models","created":"2026-02-13","cited_by_count":11,"area":"lr"},{"id":"2501.02795","title":"InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion","created":"2025-01-06","cited_by_count":5,"area":"lr"},{"id":"2509.01363","title":"Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic","created":"2025-09-01","cited_by_count":4,"area":"lr"},{"id":"2509.18316","title":"Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning","created":"2025-09-22","cited_by_count":4,"area":"lr"},{"id":"2602.05805","title":"NEX: Neuron Explore-Exploit Scoring for Label-Free Chain-of-Thought Selection and Model Ranking","created":"2026-02-05","cited_by_count":4,"area":"lr"},{"id":"2505.16151","title":"Training-Free Reasoning and Reflection in MLLMs","created":"2025-05-22","cited_by_count":3,"area":"lr"},{"id":"2505.22635","title":"Learning Composable Chains-of-Thought","created":"2025-05-28","cited_by_count":3,"area":"lr"},{"id":"2606.02398","title":"A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL","created":"2026-06-01","cited_by_count":3,"area":"lr"},{"id":"2608.03573","title":"SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs","created":"2026-08-04","cited_by_count":2,"area":"lr"},{"id":"2601.13992","title":"\"The Whole Is Greater Than the Sum of Its Parts\": A Compatibility-Aware Multi-Teacher CoT Distillation Framework","created":"2026-01-20","cited_by_count":1,"area":"lr"},{"id":"2607.08173","title":"Overthinking: Amplifying Reasoning Weights to Extract Learned Secrets","created":"2026-07-09","cited_by_count":1,"area":"lr"},{"id":"2607.18026","title":"Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective","created":"2026-07-20","cited_by_count":1,"area":"lr"},{"id":"2509.00309","title":"Balanced Actor Initialization: Stable RLHF Training of Distillation-Based Reasoning Models","created":"2025-08-30","cited_by_count":0,"area":"lr"},{"id":"2511.08500","title":"SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM Adaptation","created":"2025-11-11","cited_by_count":0,"area":"lr"},{"id":"2607.14895","title":"Leveraging Instruction Tuning and Merging for Reasoning Model Adaptation","created":"2026-07-16","cited_by_count":0,"area":"lr"},{"id":"2608.10447","title":"Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging","created":"2026-08-11","cited_by_count":0,"area":"lr"}],"next_cursor":null}