George Zerveas

21 papers A* 4A 1C 1Misc 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance. EMNLP (Findings) Reza Esfandiarpoor, George Zerveas, Ruochen Zhang, Macton Mgonzo, Carsten Eickhoff, Stephen H. Bach
2025	J	`jnl`	Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance. CoRR Reza Esfandiarpoor, George Zerveas, Ruochen Zhang, Macton Mgonzo, Carsten Eickhoff, Stephen H. Bach
2023	J	`jnl`	Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors. CoRR George Zerveas, Navid Rekabsaz, Carsten Eickhoff
2023	A*	`conf`	Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors. EMNLP George Zerveas, Navid Rekabsaz, Carsten Eickhoff
2023	—	`conf`	Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest. CinC Isaac Sears, Augusto Garcia-Agundez, George Zerveas, William Rudman, Laura Mercurio, Corey E. Ventetuolo, Adeel Abbasi, Carsten Eickhoff
2023	A	`conf`	Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
2023	J	`jnl`	Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
2023	J	`jnl`	Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. CoRR Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan
2022	J	`jnl`	CATS: Customizable Abstractive Topic-based Summarization. ACM Trans. Inf. Syst. Seyed Ali Bahrainian, George Zerveas, Fabio Crestani, Carsten Eickhoff
2022	A*	`conf`	CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. EMNLP George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
2022	A*	`conf`	Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. SIGIR George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
2022	C	`conf`	Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. ICMLA Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan
2022	J	`jnl`	Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro
2021	A*	`conf`	A Transformer-based Framework for Multivariate Time Series Representation Learning. KDD George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
2021	J	`jnl`	CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. CoRR George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
2020	J	`jnl`	A Transformer-based Framework for Multivariate Time Series Representation Learning. CoRR George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
2020	J	`jnl`	Brown University at TREC Deep Learning 2019. CoRR George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff
2020	Misc	`conf`	Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. AMIA Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar
2020	J	`jnl`	Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. CoRR Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar
2019	—	`conf`	Brown University at TREC Deep Learning 2019. TREC George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff
2018	J	`jnl`	Improving Clinical Predictions through Unsupervised Time Series Representation Learning. CoRR Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch