Do LLMs Benefit from User and Item Embeddings in Recommendation Tasks?

Leo Feng

Mir Rayat Imtiaz Hossain Leo Feng Leonid Sigal Mohamed Osama Ahmed Do LLMs Benefit from User and Item Embeddings in Recommendation Tasks? 2026 January abs/2601.04690 CoRR https://doi.org/10.48550/arXiv.2601.04690 db/journals/corr/corr2601.html#abs-2601-04690 streams/journals/corr

Minsu Kim 0004 Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio Adaptive teachers for amortized samplers. 2025 ICLR https://openreview.net/forum?id=BdmVgLMvaf conf/iclr/2025 db/conf/iclr/iclr2025.html#0004CYBFRAPMB25 Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Tree Cross Attention. 2024 ICLR https://openreview.net/forum?id=Vw24wtSddM conf/iclr/2024 db/conf/iclr/iclr2024.html#FengTHBA24 Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Memory Efficient Neural Processes via Constant Memory Attention Block. 2024 ICML https://proceedings.mlr.press/v235/feng24i.html https://openreview.net/forum?id=xtwCf7iAs2 conf/icml/2024 db/conf/icml/icml2024.html#FengTHBA24 13365-13386

Maksym Korablyov Cheng-Hao Liu Moksh Jain Almer M. van der Sloot Eric Jolicoeur Edward Ruediger Andrei Cristian Nica Emmanuel Bengio Kostiantyn Lapchevskyi Daniel St-Cyr Doris Alexandra Schuetz Victor Ion Butoi Jarrid Rector-Brooks Simon Blackburn Leo Feng Hadi Nekoei Sai Krishna Gottipati Priyesh Vijayan Prateek Gupta Ladislav Rampásek Sasikanth Avancha Pierre-Luc Bacon William L. Hamilton Brooks Paige Sanchit Misra Stanislaw Kamil Jastrzebski Bharat Kaul Doina Precup José Miguel Hernández-Lobato Marwin H. S. Segler Michael M. Bronstein Anne Marinier Mike Tyers Yoshua Bengio Generative Active Learning for the Search of Small-molecule Protein Binders. 2024 abs/2405.01616 CoRR https://doi.org/10.48550/arXiv.2405.01616 db/journals/corr/corr2405.html#abs-2405-01616

Leo Feng Frederick Tung Hossein Hajimirsadeghi Mohamed Osama Ahmed Yoshua Bengio Greg Mori Attention as an RNN. 2024 abs/2405.13956 CoRR https://doi.org/10.48550/arXiv.2405.13956 db/journals/corr/corr2405.html#abs-2405-13956

Leo Feng Frederick Tung Mohamed Osama Ahmed Yoshua Bengio Hossein Hajimirsadeghi Were RNNs All We Needed? 2024 abs/2410.01201 CoRR https://doi.org/10.48550/arXiv.2410.01201 db/journals/corr/corr2410.html#abs-2410-01201 streams/journals/corr

Minsu Kim 0004 Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio Adaptive teachers for amortized samplers. 2024 abs/2410.01432 CoRR https://doi.org/10.48550/arXiv.2410.01432 db/journals/corr/corr2410.html#abs-2410-01432 streams/journals/corr

Leo Feng Mohamed Osama Ahmed Hossein Hajimirsadeghi Amir H. Abdi Towards Better Selective Classification. 2023 ICLR https://openreview.net/forum?id=5gDz_yTcst conf/iclr/2023 db/conf/iclr/iclr2023.html#FengAHA23 Leo Feng Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Latent Bottlenecked Attentive Neural Processes. 2023 ICLR https://openreview.net/forum?id=yIxtevizEA conf/iclr/2023 db/conf/iclr/iclr2023.html#FengHBA23

Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Constant Memory Attentive Neural Processes. 2023 abs/2305.14567 CoRR https://doi.org/10.48550/arXiv.2305.14567 db/journals/corr/corr2305.html#abs-2305-14567

Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Constant Memory Attention Block. 2023 abs/2306.12599 CoRR https://doi.org/10.48550/arXiv.2306.12599 db/journals/corr/corr2306.html#abs-2306-12599

Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Tree Cross Attention. 2023 abs/2309.17388 CoRR https://doi.org/10.48550/arXiv.2309.17388 db/journals/corr/corr2309.html#abs-2309-17388

Tristan Deleu David Kanaa Leo Feng Giancarlo Kerg Yoshua Bengio Guillaume Lajoie Pierre-Luc Bacon Continuous-Time Meta-Learning with Forward Mode Differentiation. 2022 ICLR https://openreview.net/forum?id=57PipS27Km conf/iclr/2022 db/conf/iclr/iclr2022.html#DeleuKFKBLB22

Tristan Deleu David Kanaa Leo Feng Giancarlo Kerg Yoshua Bengio Guillaume Lajoie Pierre-Luc Bacon Continuous-Time Meta-Learning with Forward Mode Differentiation. 2022 abs/2203.01443 CoRR https://doi.org/10.48550/arXiv.2203.01443 db/journals/corr/corr2203.html#abs-2203-01443

Leo Feng Mohamed Osama Ahmed Hossein Hajimirsadeghi Amir H. Abdi Stop Overcomplicating Selective Classification: Use Max-Logit. 2022 abs/2206.09034 CoRR https://doi.org/10.48550/arXiv.2206.09034 db/journals/corr/corr2206.html#abs-2206-09034

Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization. 2022 abs/2209.06259 CoRR https://doi.org/10.48550/arXiv.2209.06259 db/journals/corr/corr2209.html#abs-2209-06259

Leo Feng Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Latent Bottlenecked Attentive Neural Processes. 2022 abs/2211.08458 CoRR https://doi.org/10.48550/arXiv.2211.08458 db/journals/corr/corr2211.html#abs-2211-08458

Luisa M. Zintgraf Sebastian Schulze Cong Lu Leo Feng Maximilian Igl Kyriacos Shiarlis Yarin Gal Katja Hofmann Shimon Whiteson VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning. 289:1-289:39 2021 22 J. Mach. Learn. Res. https://jmlr.org/papers/v22/21-0657.html db/journals/jmlr/jmlr22.html#ZintgrafSLFISGH21

Luisa M. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. 12991-13001 2021 ICML http://proceedings.mlr.press/v139/zintgraf21a.html conf/icml/2021 db/conf/icml/icml2021.html#ZintgrafFLIHHW21

Luisa M. Zintgraf Leo Feng Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. 2020 abs/2010.01062 CoRR https://arxiv.org/abs/2010.01062 db/journals/corr/corr2010.html#abs-2010-01062

Leo Feng Luisa M. Zintgraf Bei Peng 0001 Shimon Whiteson VIABLE: Fast Adaptation via Backpropagating Learned Loss. 2019 abs/1911.13159 CoRR http://arxiv.org/abs/1911.13159 db/journals/corr/corr1911.html#abs-1911-13159

Amir H. Abdi Mohamed Osama Ahmed Sungsoo Ahn Sasikanth Avancha Pierre-Luc Bacon Emmanuel Bengio Yoshua Bengio Simon Blackburn Michael M. Bronstein Victor Ion Butoi Sanghyeok Choi Tristan Deleu Yarin Gal Sai Krishna Gottipati Prateek Gupta Hossein Hajimirsadeghi William L. Hamilton Kristian Hartikainen José Miguel Hernández-Lobato Katja Hofmann Mir Rayat Imtiaz Hossain Maximilian Igl Moksh Jain Stanislaw JastrzebskiStanislaw Kamil Jastrzebski Eric Jolicoeur David Kanaa Bharat Kaul Giancarlo Kerg Minsu Kim 0004 Maksym Korablyov Guillaume Lajoie Kostiantyn Lapchevskyi Cheng-Hao Liu Cong Lu Nikolay Malkin Anne Marinier Sanchit Misra Greg Mori Aneri Muni Hadi Nekoei Andrei Cristian Nica Padideh Nouri Brooks Paige Jinkyoo Park Bei Peng 0001 Doina Precup Ladislav Rampásek Jarrid Rector-Brooks Edward Ruediger Doris Alexandra Schuetz Sebastian Schulze Marwin H. S. Segler Kyriacos Shiarlis Leonid Sigal Almer van der SlootAlmer M. van der Sloot Daniel St-Cyr Frederick Tung Mike Tyers Priyesh Vijayan Shimon Whiteson Taeyoung Yun Luisa M. Zintgraf