Lei M. Zhang

According to our database, Lei M. Zhang authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Training Language Models to Self-Correct via Reinforcement Learning.

Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D. Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M. Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal M. P. Behbahani, Aleksandra Faust

CoRR, 2024

Many-Shot In-Context Learning.

Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal M. P. Behbahani, Aleksandra Faust, Hugo Larochelle

CoRR, 2024

2023

Human-Timescale Adaptation in an Open-Ended Task Space.

Jakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Robust Real-Time Cultural Transmission without Human Data.

Avishkar Bhoopchand, Bethanie Brownfield, Adrian Collister, Agustin Dal Lago, Ashley Edwards, Richard Everett, Alexandre Fréchette, Yanko Gitahy Oliveira, Edward Hughes, Kory W. Mathewson, Piermaria Mendolicchio, Julia Pawar, Miruna Pislar, Alex Platonov, Evan Senter, Sukhdeep Singh, Alexander Zacherl, Lei M. Zhang

CoRR, 2022

Proving Theorems using Incremental Learning and Hindsight Experience Replay.

Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad

Proceedings of the International Conference on Machine Learning, 2022

2021

Proving Theorems using Incremental Learning and Hindsight Experience Replay.

Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad

CoRR, 2021

Training a First-Order Theorem Prover from Synthetic Data.

Vlad Firoiu, Eser Aygün, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei M. Zhang, Doina Precup, Shibl Mourad

CoRR, 2021

2020

Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models.

Lei M. Zhang, Matthias Plappert, Wojciech Zaremba

CoRR, 2020

2018

Spatially Coupled Split-Component Codes With Iterative Algebraic Decoding.

Lei M. Zhang, Dmitri V. Truhachev, Frank R. Kschischang

IEEE Trans. Inf. Theory, 2018

2017

Key Reconciliation with Low-Density Parity-Check Codes for Long-Distance Quantum Cryptography.

Mario Milicevic, Chen Feng, Lei M. Zhang, P. Glenn Gulak

CoRR, 2017

Distributed rate-adaptive staircase codes for connectionless optical metro networks.

Laurent Schmalen, Lei M. Zhang, Ulrich Gebhard

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

Complexity-optimized concatenated LDGM-staircase codes.

Lei M. Zhang, Frank R. Kschischang

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Feed-Forward Staircase Codes.

Lei M. Zhang, Laurent Schmalen

CoRR, 2016

Decoding analysis accounting for mis-corrections for spatially-coupled split-component codes.

Dmitri V. Truhachev, Alireza Karami, Lei M. Zhang, Frank R. Kschischang

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Spatially-coupled split-component codes with bounded-distance component decoding.

Lei M. Zhang, Dmitri V. Truhachev, Frank R. Kschischang

Proceedings of the IEEE International Symposium on Information Theory, 2015

2013

Multi-Edge-Type Low-Density Parity-Check Codes for Bandwidth-Efficient Modulation.

Lei M. Zhang, Frank R. Kschischang

IEEE Trans. Commun., 2013