| 2026 | ACL | DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality. | Yukun Huang, Leonardo F. R. Ribeiro, Momchil Hardalov, Bhuwan Dhingra, Markus Dreyer, Venkatesh Saligrama |
| 2026 | EACL | RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models. | Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, Virginia Smith, Mona T. Diab |
| 2026 | WWW | Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents. | Prahaladh Chandrahasan, Jiahe Jin, Zhihan Zhang, Tevin Wang, Andy Tang, Lucy Mo, Morteza Ziyadi, Leonardo F. R. Ribeiro, Zimeng Qiu, Markus Dreyer, Akari Asai, Chenyan Xiong |
| 2025 | ACL | NeoQA: Evidence-based Question Answering with Generated News Events. | Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro, Iryna Gurevych, Markus Dreyer |
| 2024 | ACL | REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. | Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer |
| 2024 | EACL | Unified Embeddings for Multimodal Retrieval via Frozen LLMs. | Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal |
| 2024 | NAACL | CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. | Xiang Jiang, Markus Dreyer |
| 2023 | EACL | Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. | Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi |
| 2023 | EACL | Faithfulness-Aware Decoding Strategies for Abstractive Summarization. | David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal |
| 2023 | EACL | Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. | Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal |
| 2023 | EMNLP | Background Summarization of Event Timelines. | Adithya Pratapa, Kevin Small, Markus Dreyer |
| 2023 | EMNLP | Generating Summaries with Controllable Readability Levels. | Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer |
| 2023 | IJCAI | On Conditional and Compositional Language Model Differentiable Prompting. | Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer |
| 2022 | NAACL | Efficient Few-Shot Fine-Tuning for Opinion Summarization. | Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer |
| 2022 | NAACL | FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. | Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal |
| 2021 | NAACL | Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. | Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer |
| 2019 | ACL | Multi-Task Networks with Universe, Group, and Task Feature Learning. | Shiva Pentyala, Mengwen Liu, Markus Dreyer |
| 2017 | Interspeech | Zero-Shot Learning Across Heterogeneous Overlapping Domains. | Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Bjrn Hoffmeister |
| 2016 | Interspeech | LatticeRnn: Recurrent Neural Networks Over Lattices. | Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow, Bjrn Hoffmeister |
| 2015 | NAACL | APRO: All-Pairs Ranking Optimization for MT Tuning. | Markus Dreyer, Yuanzhe Dong |
| 2015 | NAACL | hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs. | Markus Dreyer, Jonathan Graehl |
| 2012 | NAACL | HyTER: Meaning-Equivalent Semantics for Translation Evaluation. | Markus Dreyer, Daniel Marcu |
| 2011 | EMNLP | Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. | Markus Dreyer, Jason Eisner |
| 2011 | ICASSP | Hill climbing on speech lattices: A new rescoring framework. | Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanjeev Khudanpur, Bhuvana Ramabhadran, Mark Dredze |
| 2009 | EMNLP | Graphical Models over Multiple Strings. | Markus Dreyer, Jason Eisner |
| 2008 | ACL | Machine Translation System Combination using ITG-based Alignments. | Damianos Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer |
| 2008 | EMNLP | Latent-Variable Modeling of String Transductions with Finite-State Methods. | Markus Dreyer, Jason Smith, Jason Eisner |
| 2007 | Interspeech | Exploiting prosody for PCFGs with latent annotations. | Markus Dreyer, Izhak Shafran |
| 2006 | CoNLL | Vine Parsing and Minimum Risk Reranking for Speed and Precision. | Markus Dreyer, David A. Smith, Noah A. Smith |
| 2006 | EMNLP | Better Informed Training of Latent Syntactic Features. | Markus Dreyer, Jason Eisner |