Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset E Zhang, N Gupta, R Nogueira, K Cho, J Lin Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020, 2020 | 71* | 2020 |
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset E Zhang, N Gupta, R Tang, X Han, R Pradeep, K Lu, Y Zhang, R Nogueira, ... Proceedings of the First Workshop on Scholarly Document Processing, 31–41, 2020 | 69 | 2020 |
Rapidly Bootstrapping a Question Answering Dataset for COVID-19 R Tang, R Nogueira, E Zhang, N Gupta, P Cam, K Cho, J Lin arXiv preprint arXiv:2004.11339, 2020 | 68 | 2020 |
Chatty Goose: A Python Framework for Conversational Search E Zhang, SC Lin, JH Yang, R Pradeep, R Nogueira, J Lin Proceedings of the 44th Annual International ACM SIGIR Conference on …, 2021 | 6 | 2021 |
Rapidly bootstrapping a question answering dataset for COVID-19. arXiv R Tang, R Nogueira, E Zhang, N Gupta, P Cam, K Cho, J Lin arXiv preprint arXiv:2004.11339 200411339, 2020 | 5 | 2020 |
Cydex: Neural search infrastructure for the scholarly literature S Ding, E Zhang, J Lin Proceedings of the First Workshop on Scholarly Document Processing, 168-173, 2020 | 3 | 2020 |
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks E Zhang, Y Lu, W Wang, A Zhang arXiv preprint arXiv:2210.15629, 2022 | 2 | 2022 |
Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition J Kiseleva, A Skrynnik, A Zholus, S Mohanty, N Arabzadeh, MA Côté, ... NeurIPS 2022 Competition Track, 204-216, 2023 | 1 | 2023 |
Offline reinforcement learning with closed-form policy improvement operators J Li, E Zhang, M Yin, Q Bai, YX Wang, WY Wang International Conference on Machine Learning, 20485-20528, 2023 | 1 | 2023 |
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health N Behari, E Zhang, Y Zhao, A Taneja, D Nagaraj, M Tambe arXiv preprint arXiv:2402.14807, 2024 | | 2024 |
Social Environment Design E Zhang, S Zhao, T Wang, S Hossain, H Gasztowtt, S Zheng, DC Parkes, ... arXiv preprint arXiv:2402.14090, 2024 | | 2024 |
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping LH Cooke, H Klyne, E Zhang, C Laidlaw, M Tambe, F Doshi-Velez arXiv preprint arXiv:2312.09983, 2023 | | 2023 |
Towards Zero Shot Learning in Restless Multi-armed Bandits Y Zhao, N Behari, E Hughes, E Zhang, D Nagaraj, K Tuyls, A Taneja, ... arXiv preprint arXiv:2310.14526, 2023 | | 2023 |
Towards Generalist Agents through Scaling Offline Reinforcement Learning ET Zhang University of California, Santa Barbara, 2023 | | 2023 |
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset (preprint) E Zhang, N Gupta, R Tang, X Han, R Pradeep, K Lu, Y Zhang, R Nogueira, ... | | 2020 |