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Model Merging

558 papers

Papers per year

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Papers

Multi-concept Model Immunization through Differentiable Model Merging AAAI 2025
Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching AAAI 2025
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration AAAI 2025
Channel Merging: Preserving Specialization for Merged Experts AAAI 2025
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance AAAI 2025
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing AAAI 2025
Robust Multi-Objective Preference Alignment with Online DPO AAAI 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise ACL 2025
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation ACL 2025
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models ACL 2025
Cool-Fusion: Fuse Large Language Models without Training ACL 2025
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging ACL 2025
Controllable Style Arithmetic with Language Models ACL 2025
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit ACL 2025
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts ACL 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment ACL 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models ACL 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint ACL 2025
Representation Bending for Large Language Model Safety ACL 2025
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025
StitchLLM: Serving LLMs, One Block at a Time ACL 2025
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025