🎯 Fine-Tuning - jhcha.oyo

Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning

🎛️Fine-tuning Academic

arxiv.org·

Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune

🎛️Fine-tuning Academic

arxiv.org·

The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

🎯RLHF Academic

arxiv.org·

Sen-sou/Bobs-Lora-Loader-Anima: A custom LoRA loader node for ComfyUI with advanced block-weighting controls for SDXL, FLUX and Anima models. Features presets for common use-cases like 'Character' and 'Style', and a 'Custom' mode for fine-grained control over individual model blocks.

🎨Generative AI Code

github.com··r/StableDiffusion

Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning

🎛️Fine-tuning Academic

arxiv.org·

The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical Reasoning

🎛️Fine-tuning Academic

arxiv.org·

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT

🎛️Fine-tuning Academic

arxiv.org·

SLUUG Talk: Demystifying Large Language Models on Linux

🤖AI Code

github.com··DEV

Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems

🎯RLHF Academic

arxiv.org·

Multilingual Refusal Alignment for Safer Large Language Models

🎯RLHF Academic

arxiv.org·

Alignment Defends LLMs from Property Inference Attacks

🎛️Fine-tuning Academic

arxiv.org·

TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models

🎛️Fine-tuning Academic

arxiv.org·

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations

🎛️Fine-tuning Academic

arxiv.org·

DOG-DPO:Dynamic Optimization in Geometry for Safety Alignment

🎛️Fine-tuning Academic

arxiv.org·

Parameter-Efficient Fine-Tuning with Learnable Rank

brunokeymolen/lora: LoRa (Long Range) communication related projects

Tracing Eval-Awareness Emergence Through Training of OLMo 3

Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond

Fine-tune FLUX.2 [Klein] with a LoRA under 60 minutes

Introducing the Google Colab CLI

Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning

Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune

The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

Sen-sou/Bobs-Lora-Loader-Anima: A custom LoRA loader node for ComfyUI with advanced block-weighting controls for SDXL, FLUX and Anima models. Features presets for common use-cases like 'Character' and 'Style', and a 'Custom' mode for fine-grained control over individual model blocks.

Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning

The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical Reasoning

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT

SLUUG Talk: Demystifying Large Language Models on Linux

Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems

Multilingual Refusal Alignment for Safer Large Language Models

Alignment Defends LLMs from Property Inference Attacks

TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations

DOG-DPO:Dynamic Optimization in Geometry for Safety Alignment