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Parameter Efficient Fine-Tuning

16 papers

Papers per year

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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