parameter-efficient fine-tuning

Exploring the Better Multimodal Synergy Strategy for Vision-Language Models AAAI 2025 Extended Abstract: Probing-Guided Parameter-Efficient Fine-Tuning for Balancing Linguistic Adaptation and Safety in LLM-based Social Influence Systems ACL 2025 Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation COLING 2025 Extracting Financial Causality through QA: Insights from FinCausal 2025 Spanish Subtask COLING 2025 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025 Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation EMNLP 2025 FATE: Feature-Adapted Parameter Tuning for Vision-Language Models AAAI 2025 Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models EMNLP 2025 Federated Low-Rank Adaptation for Foundation Models: A Survey IJCAI 2025 FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models ACL 2025 FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models COLING 2025 FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025 Findings of the JUST-NLP 2025 Shared Task on English-to-Hindi Legal Machine Translation AACL 2025 Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering AAAI 2025 Fine-tuning with Reserved Majority for Noise Reduction ICLR 2025 FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading ACL 2025 Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching ACL 2025 FonTS: Text Rendering With Typography and Style Controls ICCV 2025 Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models EMNLP 2025 Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models ACL 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning ICCV 2025 From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025 From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs NAACL 2025 FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method EMNLP 2025