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Collections including paper arxiv:2406.12168

Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14, 2024 • 40
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM

Paper • 2406.12168 • Published Jun 18, 2024 • 7
WPO: Enhancing RLHF with Weighted Preference Optimization

Paper • 2406.11827 • Published Jun 17, 2024 • 15
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published Jun 26, 2024 • 42

Understanding the performance gap between online and offline alignment algorithms

Paper • 2405.08448 • Published May 14, 2024 • 19
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Paper • 2405.19332 • Published May 29, 2024 • 22
Offline Regularised Reinforcement Learning for Large Language Models Alignment

Paper • 2405.19107 • Published May 29, 2024 • 15
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2, 2024 • 33

Diffusion World Model

Paper • 2402.03570 • Published Feb 5, 2024 • 8
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF

Paper • 2401.16335 • Published Jan 29, 2024 • 1
Towards Efficient and Exact Optimization of Language Model Alignment

Paper • 2402.00856 • Published Feb 1, 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF

Paper • 2402.07319 • Published Feb 11, 2024 • 14

WPO: Enhancing RLHF with Weighted Preference Optimization

Paper • 2406.11827 • Published Jun 17, 2024 • 15
Self-Improving Robust Preference Optimization

Paper • 2406.01660 • Published Jun 3, 2024 • 20
Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14, 2024 • 40
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM

Paper • 2406.12168 • Published Jun 18, 2024 • 7

active learning

AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets

Paper • 2404.05623 • Published Apr 8, 2024 • 3
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Paper • 2405.19332 • Published May 29, 2024 • 22
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM

Paper • 2406.12168 • Published Jun 18, 2024 • 7
Deep Bayesian Active Learning for Preference Modeling in Large Language Models

Paper • 2406.10023 • Published Jun 14, 2024 • 2

Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14, 2024 • 40
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM

Paper • 2406.12168 • Published Jun 18, 2024 • 7
WPO: Enhancing RLHF with Weighted Preference Optimization

Paper • 2406.11827 • Published Jun 17, 2024 • 15
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published Jun 26, 2024 • 42

WPO: Enhancing RLHF with Weighted Preference Optimization

Paper • 2406.11827 • Published Jun 17, 2024 • 15
Self-Improving Robust Preference Optimization

Paper • 2406.01660 • Published Jun 3, 2024 • 20
Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14, 2024 • 40
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM

Paper • 2406.12168 • Published Jun 18, 2024 • 7

Understanding the performance gap between online and offline alignment algorithms

Paper • 2405.08448 • Published May 14, 2024 • 19
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Paper • 2405.19332 • Published May 29, 2024 • 22
Offline Regularised Reinforcement Learning for Large Language Models Alignment

Paper • 2405.19107 • Published May 29, 2024 • 15
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2, 2024 • 33

active learning

AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets

Paper • 2404.05623 • Published Apr 8, 2024 • 3
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Paper • 2405.19332 • Published May 29, 2024 • 22
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM

Paper • 2406.12168 • Published Jun 18, 2024 • 7
Deep Bayesian Active Learning for Preference Modeling in Large Language Models

Paper • 2406.10023 • Published Jun 14, 2024 • 2

Diffusion World Model

Paper • 2402.03570 • Published Feb 5, 2024 • 8
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF

Paper • 2401.16335 • Published Jan 29, 2024 • 1
Towards Efficient and Exact Optimization of Language Model Alignment

Paper • 2402.00856 • Published Feb 1, 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF

Paper • 2402.07319 • Published Feb 11, 2024 • 14

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