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Model Merging

552 directly classified papers

Papers per year

Papers

Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning CVPR 2025
Multi-concept Model Immunization through Differentiable Model Merging AAAI 2025
Cool-Fusion: Fuse Large Language Models without Training ACL 2025
Representation Bending for Large Language Model Safety ACL 2025
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts ACL 2025
TBA at BEA 2025 Shared Task: Transfer-Learning from DARE-TIES Merged Models for the Pedagogical Ability Assessment of LLM-Powered Math Tutors ACL 2025
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities AAAI 2025
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge EMNLP 2025
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression EMNLP 2025
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging EMNLP 2025
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models EMNLP 2025
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models EMNLP 2025
Glider: Global and Local Instruction-Driven Expert Router EMNLP 2025
Convolutional LoRA Aggregation for Unseen Tasks Adaptation EMNLP 2025
MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents EMNLP 2025
GT-NLP at SemEval-2025 Task 11: EmoRationale, Evidence-Based Emotion Detection via Retrieval-Augmented Generation SEMEVAL 2025
X-Fusion: Introducing New Modality to Frozen Large Language Models ICCV 2025
Measuring What Matters: Evaluating Ensemble LLMs with Label Refinement in Inductive Coding ACL 2025
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval CVPR 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025
cocoa at SemEval-2025 Task 10: Prompting vs. Fine-Tuning: A Multilevel Approach to Propaganda Classification SEMEVAL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SEMEVAL 2025
PLeaS - Merging Models with Permutations and Least Squares CVPR 2025
P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts ACL 2025
RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation ACL 2025