conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Learning Types
Deep Learning
›
Learning Types
›
Parameter Efficient Fine-Tuning
16 papers
Papers per year
2023: 1
1
2024: 2
2
2025: 3
3
2026: 10
10
Papers
Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs
ACL 2026
TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models
ACL 2026
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
ACL 2026
Text-Guided Multi-Scale Frequency Representation Adaptation
ACL 2026
GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR
ACL 2026
PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
ACL 2026
Localized Low-Rank Adaptation within Clustered Parameter Subspaces
ACL 2026
TLoRA: Task-aware Low Rank Adaptation of Large Language Models
ACL 2026
LeLoRA: Learnable Low-Rank Adaptation of Large Language Models
ACL 2026
Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis
MIDL 2026
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models
ACL 2025
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
ACL 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
EMNLP 2025
Unsupervised Human Preference Learning
EMNLP 2024
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
EMNLP 2024
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
<
1
>