BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback

Gaurav Pandey; Yatin Nandwani; Tahira Naseem; Mayank Mishra; Guangxuan Xu; Dinesh Raghu; Sachindra Joshi; Asim Munawar; Ramon Fernandez Astudillo

2024 ICML ICML 2024

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

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Authors

Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramon Fernandez Astudillo

Topics

Artificial Intelligence > Core AI > Foundation Models Machine Learning > Optimization & Theory > Bayesian Inference Natural Language Processing > Generation > Language Modeling

Keywords

bayesian reward-conditioned amortized inference brain distribution matching methods gradient estimate variance reward-conditioned posterior self-normalized baseline

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