conftrace_

model merging

234 papers

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large language model (13587) transfer learning (5449) multi-task learning (2575) knowledge distillation (3725) model compression (3302) language model (4599) low-rank adaptation (560) parameter-efficient fine-tuning (736) domain adaptation (4595) task vector (25)

Papers

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs NAACL 2025
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs ACL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. ACL 2025
Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation ACL 2025
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models ACL 2025
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit ACL 2025
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge EMNLP 2025
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging EMNLP 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment ACL 2025
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging EMNLP 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation EMNLP 2025
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models ACL 2025
Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization CVPR 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint ACL 2025
Better Together: Towards Localizing Fact-Related Hallucinations using Open Small Language Models IJCNLP 2025
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy ACL 2025
3DM: Distill, Dynamic Drop, and Merge for Debiasing Multi-modal Large Language Models ACL 2025
SEA-LION: Southeast Asian Languages in One Network AACL 2025
Merger-as-a-Stealer: Stealing Targeted PII from Aligned LLMs with Model Merging EMNLP 2025
Superficial Self-Improved Reasoners Benefit from Model Merging EMNLP 2025
Continual Learning in Large Language Models: Foundations to Frontiers IJCNLP 2025
Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization IJCNLP 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization ICCV 2025