Lossless Anti-Distillation Sampling
cs.LG, cs.CR
Submitted: 2026-05-12
Updated: 2026-09-24
Terminology
Sources
- Evaluating Large Language Models Trained on Code
- Training Verifiers to Solve Math Word Problems
- The Llama 3 Herd of Models
- On the Partition Function and Random Maximum A-Posteriori Perturbations
- Measuring Mathematical Problem Solving With the MATH Dataset
- Elucidating the Design Space of Diffusion-Based Generative Models
- WizardCoder: Empowering Code Large Language Models with Evol-Instruct
- Undistillable: Making A Nasty Teacher That CANNOT teach students
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
- Qwen2.5 Technical Report
- Antidistillation Sampling
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Score-Based Generative Modeling through Stochastic Differential Equations
- Magicoder: Empowering Code Generation with OSS-Instruct
- Antidistillation Fingerprinting
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks