Fine Tuning + Rag + Rl | hypedar

Fine Tuning + Rag + Rl

26.0

Create an implementation for Discrete Tilt Matching (DTM) to enable likelihood-free RL fine-tuning for masked diffusion LLMs. This bridge allows developers to apply RL to non-autoregressive models easily.

+0

emergingimplementation gap

fine-tuningdiffusionswellmlegalrlagentsragmedicallongitudinal

Signals (18)

Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning

Aletheia: Gradient-Guided Layer Selection for Efficient LoRA Fine-Tuning Across Architectures

Matched-Learning-Rate Analysis of Attention Drift and Transfer Retention in Fine-Tuned CLIP

Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports

nvidia blog1d ago

Autonomous AI at Scale: Adobe Agents Unlock Breakthrough Creative Intelligence With NVIDIA and WPP

Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP

Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning

QU-NLP at QIAS 2026: Multi-Stage QLoRA Fine-Tuning for Arabic Islamic Inheritance Reasoning

Model-Agnostic Meta Learning for Class Imbalance Adaptation

LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification

HuggingFace1d ago

QIMMA قِمّة ⛰: A Quality-First Arabic LLM Leaderboard

Task Switching Without Forgetting via Proximal Decoupling

LiFT: Does Instruction Fine-Tuning Improve In-Context Learning for Longitudinal Modelling by Large Language Models?

Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning

Discrete Tilt Matching

MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation

Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents

ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System