Denis Charles

According to our database, Denis Charles authored at least 14 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing.

Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles

CoRR, 2023

AutoHint: Automatic Prompt Optimization with Hint Generation.

Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles

CoRR, 2023

DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries.

Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Causal Inference in the Presence of Interference in Sponsored Search Advertising.

Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman

Frontiers Big Data, 2022

Efficient Long Sequence Modeling via State Space Augmented Transformer.

Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao

CoRR, 2022

TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification.

Xue Li, Wei Shen, Denis Charles

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Masked LARk: Masked Learning, Aggregation and Reporting worKflow.

Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson

CoRR, 2021

Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction.

Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman

Proceedings of the WSDM '21, 2021

2020

Causal Inference in the Presence of Interference in Sponsored Search Advertising.

Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman

CoRR, 2020

Self-Supervised Contextual Bandits in Computer Vision.

Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan

CoRR, 2020

Data Transformation Insights in Self-supervision with Clustering Tasks.

Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu

CoRR, 2020

2018

A Unified Batch Online Learning Framework for Click Prediction.

Rishabh K. Iyer, Nimit Acharya, Tanuja Bompada, Denis Charles, Eren Manavoglu

CoRR, 2018

Modeling and Simultaneously Removing Bias via Adversarial Neural Networks.

John Moore, Joel Pfeiffer, Kai Wei, Rishabh K. Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu

CoRR, 2018

2004

On Higher Arthur-Merlin Classes.

Jin-yi Cai, Denis Charles, Aduri Pavan, Samik Sengupta

Int. J. Found. Comput. Sci., 2004