Publications

Aaron Langford, Aayush Shah, Abhanshu Gupta, Abhimanyu Bhatter, Abhinav Goyal, Abhinav Mathur, Abhinav Mohanty, Abhishek Kumar, Abhishek Sethi, Abi Komma, others (2025). The Amazon Nova Family of Models: Technical Report and Model Card. arXiv preprint arXiv:2506.12103.

Aashiq Muhamed, Leonardo FR Ribeiro, Markus Dreyer, Virginia Smith, Mona T Diab (2025). RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models. arXiv preprint arXiv:2510.10390.

Max Glockner, Xiang Jiang, Leonardo FR Ribeiro, Iryna Gurevych, Markus Dreyer (2025). NeoQA: Evidence-Based Question Answering with Generated News Events. Findings of the Association for Computational Linguistics: ACL 2025.

Markus Dreyer, Can Liu, Sujith Ravi (2025). Meaning Summarization Techniques. US Patent 12,353,463.

Prahaladh Chandrahasan, Jiahe Jin, Zhihan Zhang, Tevin Wang, Andy Tang, Lucy Mo, Morteza Ziyadi, Leonardo FR Ribeiro, Zimeng Qiu, Markus Dreyer, others (2025). Deep Research Comparator: A Platform for Fine-Grained Human Annotations of Deep Research Agents. arXiv preprint arXiv:2507.05495.

Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal (2024). Unified Embeddings for Multimodal Retrieval via Frozen LLMs. Findings of the Association for Computational Linguistics: EACL 2024.

Vaidehi Patil, Leonardo FR Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer (2024). RefineSumm: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen McKeown (2024). NewsQs: Multi-Source Question Generation for the Inquiring Mind. arXiv preprint arXiv:2402.18479.

Xiang Jiang, Markus Dreyer (2024). CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).

David Wan, Mengwen Liu, Kathleen McKeown, Markus Dreyer, Mohit Bansal (2023). Faithfulness-Aware Decoding Strategies for Abstractive Summarization. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.

Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi (2023). Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. Findings of the Association for Computational Linguistics: EACL 2023.

Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal (2023). Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.

Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer (2023). On Conditional and Compositional Language Model Differentiable Prompting. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China.

Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer (2023). Generating Summaries with Controllable Readability Levels. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Adithya Pratapa, Kevin Small, Markus Dreyer (2023). Background Summarization of Event Timelines. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal (2022). FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer (2022). Efficient Few-Shot Fine-Tuning for Opinion Summarization. Findings of the Association for Computational Linguistics: NAACL 2022.

Boya Yu, Avani Deshpande, Adrian Mark McLeod, Naga Sai Likhitha Patha, Markus Dreyer (2021). Word Embeddings for Natural Language Processing. US Patent 11,030,999.

Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer (2021). Transductive Learning for Abstractive News Summarization. CoRR.

Khalil Mrini, Can Liu, Markus Dreyer (2021). Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization. Proceedings of the Third Workshop on New Frontiers in Summarization at EMNLP.

Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer (2021). Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL.

Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi (2021). Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR.

William Clinton Dabney, Arpit Gupta, Faisal Ladhak, Markus Dreyer, Anjishnu Kumar (2020). Voice User Interface Knowledge Acquisition System. US Patent 10,755,177.

Shiva Pentyala, Mengwen Liu, Markus Dreyer (2019). Multi-Task Networks with Universe, Group, and Task Feature Learning. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL).

Daniel Marcu, Markus Dreyer (2019). Method and System for Automatic Management of Reputation of Translators. US Patent 10,402,498.

Daniel Marcu, Markus Dreyer (2019). Method and System for Automatic Management of Reputation of Translators. US Patent 10,261,994.

Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Ariya Rastrow, Björn Hoffmeister, Lambert Mathias (2019). Lattice Encoding Using Recurrent Neural Networks. US Patent 10,176,802.

Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Ariya Rastrow, Björn Hoffmeister, Lambert Mathias (2019). Lattice Decoding and Result Confirmation Using Recurrent Neural Networks. US Patent 10,210,862.

Markus Dreyer, Pavankumar Reddy Muddireddy, Anjishnu Kumar (2019). Extendable Label Recognition of Linguistic Input. US Patent 10,170,107.

Ariya Rastrow, Nikko Ström, Spyridon Matsoukas, Markus Dreyer, Ankur Gandhe, Denis Sergeyevich Filimonov, Julian Chan, Rohit Prasad (2018). Speech Processing with Learned Representation of User Interaction History. US Patent 10,032,463.

Anjishnu Kumar, Markus Dreyer (2018). Neural Latent Variable Model for Spoken Language Understanding. US Patent 9,911,413.

Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Bjorn Hoffmeister, Markus Dreyer, Stanislav Peshterliev, Ankur Gandhe, Denis Filiminov, Ariya Rastrow, Christian Monson, Agnika Kumar (2017). Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. NIPS workshop on conversational AI.

Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer (2017). Transfer Learning for Neural Semantic Parsing. Proceedings of the 2nd Workshop on Representation Learning for NLP at ACL.

Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Björn Hoffmeister (2017). Zero-Shot Learning Across Heterogeneous Overlapping Domains. Proceedings of Interspeech.

Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow, Björn Hoffmeister (2016). LatticeRnn: Recurrent Neural Networks Over Lattices. Proceedings of Interspeech.

Markus Dreyer, Jonathan Graehl (2015). hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics (ACL): Demonstrations.

Markus Dreyer, Yuanzhe Dong (2015). APRO: All-Pairs Ranking Optimization for MT Tuning. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics (ACL): Human Language Technologies.

Markus Dreyer, Daniel Marcu (2012). HyTER: Meaning-Equivalent Semantics for Translation Evaluation. Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics (ACL): Human Language Technologies.

Markus Dreyer, Jason Eisner (2011). Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Markus Dreyer (2011). A Non-Parametric Model for the Discovery of Inflectional Paradigms from Plain Text Using Graphical Models over Strings.

Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanjeev Khudanpur, Bhuvana Ramabhadran, Mark Dredze (2011). Hill climbing on speech lattices: A new rescoring framework. Proceedings of ICASSP.

Markus Dreyer, Jason Eisner (2009). Graphical Models over Multiple Strings. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine Piatko, Delip Rao, David Yarowsky, Markus Dreyer (2009). HLTCOE Approaches to Knowledge Base Population at TAC 2009. Proceedings of the 2009 Text Analysis Conference.

Markus Dreyer, Jason R. Smith, Jason Eisner (2008). Latent-Variable Modeling of String Transductions with Finite-State Methods. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Damianos Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer (2008). Machine Translation System Combination using ITG-based Alignments. Proceedings of ACL-08: HLT, Short Papers.

Markus Dreyer, Keith Hall, Sanjeev Khudanpur (2007). Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation. Proceedings of SSST, NAACL-HLT 2007 / AMTA Workshop on Syntax and Structure in Statistical Translation.

M. Dreyer, I. Shafran (2007). Exploiting prosody for PCFGs with latent annotations. Proceedings of Interspeech.

Markus Dreyer, Jason Eisner (2006). Better Informed Training of Latent Syntactic Features. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Markus Dreyer, David A. Smith, Noah A. Smith (2006). Vine Parsing and Minimum Risk Reranking for Speed and Precision. Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X).

A. Burbank, M. Carpuat, S. Clark, M. Dreyer, P. Fox, D. Groves, K. Hall, M. Hearne, I. D Melamed, Y. Shen, Others (2005). Final report of the 2005 language engineering workshop on statistical machine translation by parsing. Johns Hopkins University.