Denis Charles

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 17

Top Topics

Online Learning

Peer Assessment

Data Transformation

Critical Thinking

Top Venues

Frontiers Big Data

Publications

Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. ICLR (2024)
Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CIKM (2023)
Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. CoRR (2023)
Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CoRR (2023)
Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles
AutoHint: Automatic Prompt Optimization with Hint Generation. CoRR (2023)
Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao
Efficient Long Sequence Modeling via State Space Augmented Transformer. CoRR (2022)
Xue Li, Wei Shen, Denis Charles
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification. CoRR (2022)
Xue Li, Wei Shen, Denis Charles
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification. DL4SR@CIKM (2022)
Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data 5 (2022)
Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson
Masked LARk: Masked Learning, Aggregation and Reporting worKflow. CoRR (2021)
Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. WSDM (2021)
Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman
Causal Inference in the Presence of Interference in Sponsored Search Advertising. CoRR (2020)
Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan
Self-Supervised Contextual Bandits in Computer Vision. CoRR (2020)
Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu
Data Transformation Insights in Self-supervision with Clustering Tasks. CoRR (2020)
Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. CoRR (2020)
Rishabh K. Iyer, Nimit Acharya, Tanuja Bompada, Denis Charles, Eren Manavoglu
A Unified Batch Online Learning Framework for Click Prediction. CoRR (2018)
John Moore, Joel Pfeiffer, Kai Wei, Rishabh K. Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks. CoRR (2018)
Jin-yi Cai, Denis Charles, Aduri Pavan, Samik Sengupta
On Higher Arthur-Merlin Classes. Int. J. Found. Comput. Sci. 15 (1) (2004)
Jin-yi Cai, Denis Charles, Aduri Pavan, Samik Sengupta
On Higher Arthur-Merlin Classes. COCOON (2002)