| 2025 | ACL | Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs. | Puxuan Yu, Daniel Cohen, Hemank Lamba, Joel R. Tetreault, Alejandro Jaimes |
| 2024 | NAACL | In-Context Example Ordering Guided by Label Distributions. | Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar |
| 2023 | CIKM | Predictive Uncertainty-based Bias Mitigation in Ranking. | Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff |
| 2023 | EACL | Parameter-efficient Modularised Bias Mitigation via AdapterFusion. | Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz |
| 2023 | SIGIR | A Lightweight Constrained Generation Alternative for Query-focused Summarization. | Zhichao Xu, Daniel Cohen |
| 2023 | SYSTOR | Cache Line Deltas Compression. | Daniel Cohen, Sarel Cohen, Dalit Naor, Daniel G. Waddington, Moshik Hershcovitch |
| 2022 | EMNLP | CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. | George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff |
| 2022 | SIGIR | Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. | Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff |
| 2022 | SIGIR | Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. | George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff |
| 2021 | ICTIR | A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. | Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl |
| 2021 | SIGIR | Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates. | Daniel Cohen |
| 2021 | SIGIR | Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. | Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff |
| 2020 | ICML | Evaluating the Performance of Reinforcement Learning Algorithms. | Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas |
| 2019 | EMNLP | The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval. | Constantine Lignos, Daniel Cohen, Yen-Chieh Lien, Pratik Mehta, W. Bruce Croft, Scott Miller |
| 2019 | GLOBECOM | Bootstrapping Security Configuration for IoT Devices on Networks with TLS Inspection. | Victor Danilchenko, Matthew Theobald, Daniel Cohen |
| 2019 | ICTIR | Learning a Better Negative Sampling Policy with Deep Neural Networks for Search. | Daniel Cohen, Scott M. Jordan, W. Bruce Croft |
| 2019 | ICTIR | An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists. | Yen-Chieh Lien, Daniel Cohen, W. Bruce Croft |
| 2018 | ECIR | A Hybrid Embedding Approach to Noisy Answer Passage Retrieval. | Daniel Cohen, W. Bruce Croft |
| 2018 | ICTIR | Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks. | Daniel Cohen, Brendan O'Connor, W. Bruce Croft |
| 2018 | SIGIR | Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks. | Daniel Cohen, John Foley, Hamed Zamani, James Allan, W. Bruce Croft |
| 2018 | SIGIR | Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. | Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft |
| 2018 | SIGIR | WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. | Daniel Cohen, Liu Yang, W. Bruce Croft |
| 2016 | ICTIR | End to End Long Short Term Memory Networks for Non-Factoid Question Answering. | Daniel Cohen, W. Bruce Croft |
| 2011 | MICCAI | 2D/3D Registration of a Preoperative Model with Endoscopic Video Using Colour-Consistency. | Ping-Lin Chang, Dongbin Chen, Daniel Cohen, Philip J. Edwards |
| 2010 | MICCAI | Augmented Reality Image Guidance in Minimally Invasive Prostatectomy. | Daniel Cohen, Erik Mayer, Dongbin Chen, Ann Anstee, Justin Vale, Guang-Zhong Yang, Ara Darzi, Philip J. Edwards |
| 1999 | RECOMB | Whole genome association studies in humans (abstract). | Daniel Cohen, Marta Blumenfeld, Ilya Chumakov, Nicholas J. Schork |