Co-occurring keywords · papers mentioning both
Papers
MapCoder-Lite: Distilling Multi-Agent Coding into a Single Small LLM
EACL 2026
MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive Supervision
ACL 2026
mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection
SemEval 2026
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
WACV 2026
MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models
AAAI 2026
Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models
CVPR 2026
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
ACL 2026
Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval
AAAI 2026
More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
WACV 2026
MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
ACL 2026
MTQE.en-he: Machine Translation Quality Estimation for English-Hebrew
EACL 2026
MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing
NSDI 2026
Narrative Nexus at SemEval-2026 Task 4: Modeling Narrative Similarity via Instruction-Based Fine-Tuning and Synthetic Data Augmentation
SemEval 2026
No One-Size-Fits-All: Building Systems For Translation to Bashkir, Kazakh, Kyrgyz, Tatar and Chuvash Using Synthetic And Original Data
EACL 2026
Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
ACL 2026
NUST PsyAI at SemEval-2026 Task 10: Parameter-Efficient RoBERTa for Conspiracy Detection and Character-Level Marker Extraction
SemEval 2026
NYCU Speech Lab at SemEval-2026 Task 3: Heterogeneous Model Ensemble with Adaptive Weighted Voting for Dimensional Aspect Sentiment Quadruplet Extraction
SemEval 2026
OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models
AAAI 2026
OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning
AAAI 2026
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
AAAI 2026
OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models
CVPR 2026
Parameter-Efficient Adaptation for MLLMs via Implicit Modality Decomposition
CVPR 2026
Parameter-Efficient Adaptation of Self-Supervised Models for Arabic Speech Recognition
EACL 2026
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
EACL 2026
Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation
AAAI 2026