Dawen Liang

Netflix (United States) — United States

Computer Science · Physical Sciences

17h-index6.0kcitations54works1.32yr avg
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Research Topics

Recommender Systems and Techniques(18), Music and Audio Processing(15), Topic Modeling(9), Speech and Audio Processing(7), Music Technology and Sound Studies(7)

Publications54 total

DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
2025· 3 citedOpen Access
Does Weighting Improve Matrix Factorization for Recommender Systems?
2025Open Access
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System
arXiv (Cornell University)·2025· 1 citedOpen Access
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
2025· 4 citedOpen Access
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
arXiv (Cornell University)·2025Open Access
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
2025
Neighborhood-Based Collaborative Filtering for Conversational Recommendation
2024· 3 citedOpen Access
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
arXiv (Cornell University)·2024Open Access
Off-Policy Evaluation for Large Action Spaces via Policy Convolution
2024· 4 citedOpen Access
A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
arXiv (Cornell University)·2024Open Access
Switching the Loss Reduces the Cost in Batch (Offline) Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Off-Policy Evaluation for Large Action Spaces via Policy Convolution
arXiv (Cornell University)·2023Open Access
Large Language Models as Zero-Shot Conversational Recommenders
2023· 104 citedOpen Access
Local Policy Improvement for Recommender Systems
arXiv (Cornell University)·2022Open Access
Negative Interactions for Improved Collaborative Filtering: Don’t go Deeper, go Higher
2021· 15 citedOpen Access
Deep learning for recommender systems: A Netflix case study
AI Magazine·2021· 147 citedOpen Access
Bayesian Causal Inference for Real World Interactive Systems
2021· 1 cited
Causal Inference for Recommender Systems
2020· 128 cited
Learning Correlated Latent Representations with Adaptive Priors
arXiv (Cornell University)·2019Open Access
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Frequent Co-authors

Nathan Kallus(12), Brian McFee(9), Matthew D. Hoffman(9), Harald Steck(9), Matt McVicar(8), Colin Raffel(6), Oriol Nieto(6), David M. Blei(6), Julian McAuley(6), Daniel P. W. Ellis(5), Laurent Charlin(5), Petr Viktorin(5), Douglas Repetto(5), Eric Battenberg(4), Rahul G. Krishnan(4), Tony Jebara(4), Zhouhang Xie(4), Josh Moore(4), Adrian Holovaty(4), Roger B. Dannenberg(4)