Fine-tuning

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Parameter-Efficient Fine-Tuning with Learnable Rank

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

Why LLMs (still) lack taste

 💬LLMs

Tracing Eval-Awareness Emergence Through Training of OLMo 3

 🎯RLHF
lesswrong.com·

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

 🎯Fine-Tuning  Content type: Code
github.com··Hacker News

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

 🎯Fine-Tuning  Content type: Blog

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

 🎯RLHF
turingpost.com·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🤖AI
aermia.com··Hacker News

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

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

Some Interesting Papers on RLVR

 🎮Reinforcement Learning
lesswrong.com·

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

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

How to reduce capability degradation from off-model SFT

 ✍️Prompt Engineering
lesswrong.com·

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  Content type: Code

When RL Fails after SFT: Rejuvenating Model Plasticity for Robust SFT-to-RL Handoff

 🎯RLHF  Content type: Academic
arxiv.org·

A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design

 🎯RLHF  Content type: Academic
arxiv.org·

RASFT: Rollout-Adaptive Supervised Fine-Tuning for Reasoning

 🎯RLHF  Content type: Academic
arxiv.org·

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

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

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

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It

 ✍️Prompt Engineering  Content type: Academic
arxiv.org·

Emergence of Context Characteristics Sensitivity in Large Language Models

 🎯Fine-Tuning  Content type: Academic
arxiv.org·

Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems

 🎯RLHF  Content type: Academic
arxiv.org·

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