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Results for “Fine-tuning”

226 stories · best match

Last updated 7 hours ago

AI Models23

Brain2Vec: A Self-Supervised 3D Foundation Model for Structural Brain MRI

It centres on Fine-tuning, and also names GitHub. Reported by arXiv.

Source: arXiv5 days agoRead original

AI Models23

Training with ML-labeled Data via Stochastic First- and Zeroth-Order Optimization

The story centres on Fine-tuning. Reported by arXiv.

Source: arXiv6 days agoRead original

AI Models21

CAT-alyzing Honesty: Continuous Adversarial Training for Transferable LLM Honesty

It centres on AI Safety, and also names Llama and Benchmarks. Reported by arXiv.

Source: arXiv15 Oct 2026Read original

AI Research21

What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study

It centres on Benchmarks, and also names Fine-tuning and Inference. Reported by arXiv.

Source: arXiv13 Oct 2026Read original

AI Models21

Overcoming Prior Barriers: Supervised Fine-Tuning under Long-Tail Distribution

The story centres on Fine-tuning. Reported by arXiv.

Source: arXiv8 Oct 2026Read original

AI Models21

Detect and Suppress: A Mechanistic Defense against Adversarial Patches in VLA Models

It centres on Inference, and also names Fine-tuning. Reported by arXiv.

Source: arXiv2 Oct 2026Read original

AI Regulation21

Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD?

The story centres on Fine-tuning. Reported by arXiv.

Source: arXiv30 Sept 2026Read original

AI Models21

Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

The story centres on Fine-tuning. Reported by arXiv.

Source: arXiv25 Sept 2026Read original

AI Models

Domain-Specific Hallucination Detection in Large Language Models

It centres on Benchmarks, and also names Inference and Fine-tuning. Reported by arXiv.

Source: arXiv10 Sept 2026Read original

AI Research22

Post-Hoc Feature Selection Layer for Neural Networks Interpretability

The story centres on Fine-tuning. Reported by arXiv.

Source: arXiv3 days agoRead original

AI Models24

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

It centres on AI Safety, and also names Fine-tuning and Inference. Reported by arXiv.

Source: arXiv13 Oct 2026Read original

AI Coding23

On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality

It centres on Benchmarks, and also names Fine-tuning and Inference. Reported by arXiv.

Source: arXiv22 Sept 2026Read original

What’s Trending in AI?

What’s Trending in AI?

Results for “Fine-tuning”

Brain2Vec: A Self-Supervised 3D Foundation Model for Structural Brain MRI

Training with ML-labeled Data via Stochastic First- and Zeroth-Order Optimization

CAT-alyzing Honesty: Continuous Adversarial Training for Transferable LLM Honesty

What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study

Overcoming Prior Barriers: Supervised Fine-Tuning under Long-Tail Distribution

Detect and Suppress: A Mechanistic Defense against Adversarial Patches in VLA Models

Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD?

Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

Domain-Specific Hallucination Detection in Large Language Models

Post-Hoc Feature Selection Layer for Neural Networks Interpretability

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality

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