Chris Cremer

3 papers · 2018–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

ACL (1) EMNLP (1) ICML (1)

Top co-authors

Arash Ahmadian (2) Olivier Pietquin (2) Nathan Grinsztajn (1) Julia Kreutzer (1) David Duvenaud (1) Sara Hooker (1) Florian Strub (1) Matthieu Geist (1) Matthias Gallé (1) Eugene Choi (1)

Research topics

Deep Learning (3) Artificial Intelligence (2) Machine Learning (2) Core AI (2) Learning Types · Deep Learning (2) Models (2) Optimization & Theory (2) Reinforcement Learning (1) Architectures (1) Learning Types · Machine Learning (1) Methods (1)

Keywords

large language model (2) reinforcement learning (1) policy optimization (1) policy gradient (1) preference optimization (1) language model alignment (1) reinforcement learning from human feedback (1) model alignment (1) off-policy learning (1) posterior approximation (1) amortized inference (1) latent variable model (1) variational autoencoder (1) proximal policy optimization (1) language model fine-tuning (1) recognition network (1) sequence-level optimization (1) contrastive learning (1) sequence-level scoring (1)

Papers

Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024 Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024 Inference Suboptimality in Variational Autoencoders ICML 2018