low-rank adaptation (lora) Archives - Page 4 of 6

January 3, 2026

Research: $$LLM_{Reasoning} + AI_{Efficiency} = Breakthrough_{Math}$$: Decoding the Latest Advancements in AI Mathematical Reasoning

Latest 26 papers on mathematical reasoning: Jan. 3, 2026

December 27, 2025

Artificial Intelligence Computer Vision Machine Learning

Research: Parameter-Efficient Fine-Tuning: Unlocking the Next Generation of AI Models

Latest 50 papers on parameter-efficient fine-tuning: Dec. 27, 2025

December 20, 2025

Artificial Intelligence Computer Vision Machine Learning

Catastrophic Forgetting: Unlocking Lifelong Learning in AI with Recent Breakthroughs

Latest 50 papers on catastrophic forgetting: Dec. 21, 2025

December 20, 2025

Artificial Intelligence Computation and Language Machine Learning

Parameter-Efficient Fine-Tuning: Unlocking the Next Generation of Adaptable AI

Latest 50 papers on parameter-efficient fine-tuning: Dec. 21, 2025

December 13, 2025

Artificial Intelligence Computer Vision Machine Learning

Continual Learning: Navigating Dynamic AI with Resilience and Adaptation

Latest 50 papers on continual learning: Dec. 13, 2025

December 13, 2025

Artificial Intelligence Computer Vision Machine Learning

Catastrophic Forgetting No More: The Latest Breakthroughs in Continual Learning

Latest 50 papers on catastrophic forgetting: Dec. 13, 2025

December 13, 2025

Computation and Language Computer Vision Machine Learning

Parameter-Efficient Fine-Tuning: Unleashing LLMs and Vision Models on the Edge

Latest 50 papers on parameter-efficient fine-tuning: Dec. 13, 2025

November 10, 2025

Artificial Intelligence Computer Vision Machine Learning

Continual Learning’s Next Frontier: A Synthesis of Biological Plausibility, Scaling, and Geometric Optimization

Latest 50 papers on continual learning: Nov. 10, 2025

November 2, 2025

Artificial Intelligence Computation and Language Machine Learning

Parameter-Efficient Fine-Tuning: Unleashing the Full Potential of Large Models with Less

Latest 50 papers on parameter-efficient fine-tuning: Nov. 2, 2025

October 27, 2025

Artificial Intelligence Computation and Language Machine Learning

Parameter-Efficient Fine-Tuning: Unleashing the Full Potential of Foundation Models

Latest 50 papers on parameter-efficient fine-tuning: Oct. 27, 2025

Research: $$LLM_{Reasoning} + AI_{Efficiency} = Breakthrough_{Math}$$: Decoding the Latest Advancements in AI Mathematical Reasoning

Research: Parameter-Efficient Fine-Tuning: Unlocking the Next Generation of AI Models

Catastrophic Forgetting: Unlocking Lifelong Learning in AI with Recent Breakthroughs

Parameter-Efficient Fine-Tuning: Unlocking the Next Generation of Adaptable AI

Continual Learning: Navigating Dynamic AI with Resilience and Adaptation

Catastrophic Forgetting No More: The Latest Breakthroughs in Continual Learning

Parameter-Efficient Fine-Tuning: Unleashing LLMs and Vision Models on the Edge

Continual Learning’s Next Frontier: A Synthesis of Biological Plausibility, Scaling, and Geometric Optimization

Parameter-Efficient Fine-Tuning: Unleashing the Full Potential of Large Models with Less

Parameter-Efficient Fine-Tuning: Unleashing the Full Potential of Foundation Models

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