Denis Charles - RankMe

19 papers A* 1A 2Misc 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. ICLR Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
2023	J	`jnl`	AutoHint: Automatic Prompt Optimization with Hint Generation. CoRR Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles
2023	A	`conf`	DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CIKM Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles
2023	J	`jnl`	DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CoRR Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles
2023	J	`jnl`	Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. CoRR Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
2022	J	`jnl`	Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
2022	J	`jnl`	Efficient Long Sequence Modeling via State Space Augmented Transformer. CoRR Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao
2022	—	`conf`	TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification. DL4SR@CIKM Xue Li, Wei Shen, Denis Charles
2022	J	`jnl`	TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification. CoRR Xue Li, Wei Shen, Denis Charles
2021	A	`conf`	Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. WSDM Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman
2021	J	`jnl`	Masked LARk: Masked Learning, Aggregation and Reporting worKflow. CoRR Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson
2020	J	`jnl`	Causal Inference in the Presence of Interference in Sponsored Search Advertising. CoRR Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman
2020	J	`jnl`	Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. CoRR Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
2020	J	`jnl`	Data Transformation Insights in Self-supervision with Clustering Tasks. CoRR Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu
2020	J	`jnl`	Self-Supervised Contextual Bandits in Computer Vision. CoRR Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan
2018	J	`jnl`	A Unified Batch Online Learning Framework for Click Prediction. CoRR Rishabh K. Iyer, Nimit Acharya, Tanuja Bompada, Denis Charles, Eren Manavoglu
2018	J	`jnl`	Modeling and Simultaneously Removing Bias via Adversarial Neural Networks. CoRR John Moore, Joel Pfeiffer, Kai Wei, Rishabh K. Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu
2004	J	`jnl`	On Higher Arthur-Merlin Classes. Int. J. Found. Comput. Sci. Jin-Yi Cai, Denis Charles, Aduri Pavan, Samik Sengupta
2002	Misc	`conf`	On Higher Arthur-Merlin Classes. COCOON Jin-Yi Cai, Denis Charles, Aduri Pavan, Samik Sengupta