Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Application Areas
Machine Learning
›
Application Areas
›
Model Merging
552 directly classified papers
Papers per year
2003: 1
2004: 1
2005: 1
2009: 1
2010: 1
2011: 1
2013: 1
2015: 1
2016: 1
2017: 3
2018: 14
2019: 13
2020: 32
2021: 36
2022: 37
2023: 58
2024: 126
2025: 182
2026: 42
Papers
UTF: Under-trained Tokens as Fingerprints —— a Novel Approach to LLM Identification
ACL 2025
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging
ACL 2025
Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
ACL 2025
Model Merging for Knowledge Editing
ACL 2025
A Hybrid LLM and Supervised Model Pipeline for Polymer Property Extraction from Tables in Scientific Literature
IJCNLP 2025
Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling
ACL 2025
DUT_IR at SemEval-2025 Task 11: Enhancing Multi-Label Emotion Classification with an Ensemble of Pre-trained Language Models and Large Language Models
ACL 2025
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
EMNLP 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging.
ACL 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard Prediction
ACL 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
NAACL 2025
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
ACL 2025
FroM: Frobenius Norm-Based Data-Free Adaptive 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
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge
EMNLP 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
ACL 2025
Towards Performance Consistency in Multi-Level Model Collaboration
ICCV 2025
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
JMLR 2025
Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation
ACL 2025
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
ACL 2025
Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention
IJCNLP 2025
Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization
IJCNLP 2025
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs
ACL 2025
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
ACL 2025
<
1
…
6
7
8
…
23
>