Edwin Zhang - RankMe

31 papers A* 8A 1Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Taxonomy of Transcendence. CoRR Natalie Abreu, Edwin Zhang, Eran Malach, Naomi Saphra
2025	J	`jnl`	Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding. CoRR Donghwa Shin, Edwin Zhang
2025	J	`jnl`	Why Language Models Hallucinate. CoRR Adam Tauman Kalai, Ofir Nachum, Santosh S. Vempala, Edwin Zhang
2024	A*	`conf`	A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. NeurIPS Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe
2024	J	`jnl`	A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. CoRR Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe
2024	J	`jnl`	Creating a Cooperative AI Policymaking Platform through Open Source Collaboration. CoRR Aiden Lewington, Alekhya Vittalam, Anshumaan Singh, Anuja Uppuluri, Arjun Ashok, Ashrith Mandayam Athmaram, Austin Milt, Benjamin Smith, Charlie Weinberger, Chatanya Sarin, Christoph Bergmeir, Cliff Chang, Daivik Patel, Daniel Li, David Bell, Defu Cao, Donghwa Shin, Edward Kang, Edwin Zhang, Enhui Li, Felix Chen, Gabe Smithline, Haipeng Chen, Henry Gasztowtt, Hoon Shin, Jiayun Zhang, Joshua Gray, Khai Hern Low, Kishan Patel, Lauren Hannah Cooke, Marco Burstein, Maya Kalapatapu, Mitali Mittal, Raymond Chen, Rosie Zhao, Sameen Majid, Samya Potlapalli, Shang Wang, Shrenik Patel, Shuheng Li, Siva Komaragiri, Song Lu, Sorawit Siangjaeo, Sunghoo Jung, Tianyu Zhang, Valery Mao, Vikram Krishnakumar, Vincent Zhu, Wesley Kam, Xingzhe Li, Yumeng Liu
2024	A*	`conf`	Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. KDD Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li
2024	J	`jnl`	Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. CoRR Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li
2024	A*	`conf`	Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks. ICLR Edwin Zhang, Yujie Lu, Shinda Huang, William Yang Wang, Amy Zhang
2024	J	`jnl`	Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations. CoRR Henry Gasztowtt, Benjamin Smith, Vincent Zhu, Qinxun Bai, Edwin Zhang
2024	A*	`conf`	Position: Social Environment Design Should be Further Developed for AI-based Policy-Making. ICML Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
2024	J	`jnl`	Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning. CoRR Matthew Ho, Vincent Zhu, Xiaoyin Chen, Moksh Jain, Nikolay Malkin, Edwin Zhang
2024	J	`jnl`	Social Environment Design. CoRR Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
2024	—	`conf`	Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping. Tiny Papers @ ICLR Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez
2024	A	`conf`	Towards Zero Shot Learning in Restless Multi-armed Bandits. AAMAS Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2024	A*	`conf`	Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. IJCAI Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2024	A*	`conf`	Transcendence: Generative Models Can Outperform The Experts That Train Them. NeurIPS Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach
2024	J	`jnl`	Transcendence: Generative Models Can Outperform The Experts That Train Them. CoRR Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach
2023	A*	`conf`	Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. ICML Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
2023	J	`jnl`	Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping. CoRR Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez
2023	J	`jnl`	Towards Zero Shot Learning in Restless Multi-armed Bandits. CoRR Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2022	J	`jnl`	LAD: Language Augmented Diffusion for Reinforcement Learning. CoRR Edwin Zhang, Yujie Lu, William Wang, Amy Zhang
2022	J	`jnl`	Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. CoRR Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
2021	A*	`conf`	Chatty Goose: A Python Framework for Conversational Search. SIGIR Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
2021	—	`conf`	Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. NeurIPS (Competition and Demos) Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo
2021	—	`conf`	Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments. EAAMO Joy Hsu, Ramya Ravichandran, Edwin Zhang, Christine Keung
2020	—	`conf`	Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. SDP@EMNLP Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin
2020	J	`jnl`	Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. CoRR Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin
2020	—	`conf`	Cydex: Neural Search Infrastructure for the Scholarly Literature. SDP@EMNLP Shane Ding, Edwin Zhang, Jimmy Lin
2020	J	`jnl`	Rapidly Bootstrapping a Question Answering Dataset for COVID-19. CoRR Raphael Tang, Rodrigo Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin
2020	J	`jnl`	Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned. CoRR Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, Jimmy Lin