Skip to content
conftrace_

Model Merging

592 papers

1
1
1
30
213
'5
'10
'15
'20
'25

Papers

Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP 2025 PLeaS - Merging Models with Permutations and Least Squares CVPR 2025 PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches ICLR 2025 P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts ACL 2025 RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging EMNLP 2025 RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning ACL 2025 REMEDY: Recipe Merging Dynamics in Large Vision-Language Models ICLR 2025 Representation Bending for Large Language Model Safety ACL 2025 Revisiting Machine Unlearning with Dimensional Alignment WACV 2025 RMB: Comprehensively benchmarking reward models in LLM alignment ICLR 2025 RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation ACL 2025 Robust Multi-Objective Preference Alignment with Online DPO AAAI 2025 RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs EMNLP 2025 Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models ICLR 2025 SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs EMNLP 2025 Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging EMNLP 2025 SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators ICLR 2025 Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models ACL 2025 Selective Aggregation for Low-Rank Adaptation in Federated Learning ICLR 2025 Selective Task Group Updates for Multi-Task Optimization ICLR 2025 Self-Ensemble: Mitigating Confidence Distortion for Large Language Models EMNLP 2025 Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025 Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models ACL 2025 SeqMMR: Sequential Model Merging and LLM Routing for Enhanced Batched Sequential Knowledge Editing ACL 2025 Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025