Vine Parsing and Minimum Risk Reranking for Speed and Precision. - Markus Dreyer; David A. Smith; Noah A. Smith (CoNLL, 2006)

Better Informed Training of Latent Syntactic Features. - Markus Dreyer; Jason Eisner (EMNLP, 2006)

Exploiting prosody for PCFGs with latent annotations. - Markus Dreyer; Izhak Shafran (INTERSPEECH, 2007)

Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation. - Markus Dreyer; Keith B. Hall; Sanjeev Khudanpur (SSST@HLT-NAACL, 2007)

Machine Translation System Combination using ITG-based Alignments. - Damianos G. Karakos; Jason Eisner; Sanjeev Khudanpur; Markus Dreyer (ACL (2), 2008)

Latent-Variable Modeling of String Transductions with Finite-State Methods. - Markus Dreyer; Jason Smith 006; Jason Eisner (EMNLP, 2008)

Graphical Models over Multiple Strings. - Markus Dreyer; Jason Eisner (EMNLP, 2009)

HLTCOE Approaches to Knowledge Base Population at TAC 2009. - Paul McNamee; Mark Dredze; Adam Gerber; Nikesh Garera; Tim Finin; James Mayfield; Christine D. Piatko; Delip Rao; David Yarowsky; Markus Dreyer (TAC, 2009)

Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. - Markus Dreyer; Jason Eisner (EMNLP, 2011)

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

A non-parametric Bayesian approach to inflectional morphology. - Jason Eisner; Markus Dreyer (MLSLP, 2011)

HyTER: Meaning-Equivalent Semantics for Translation Evaluation. - Markus Dreyer; Daniel Marcu (HLT-NAACL, 2012)

APRO: All-Pairs Ranking Optimization for MT Tuning. - Markus Dreyer; Yuanzhe Dong (HLT-NAACL, 2015)

hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs. - Markus Dreyer; Jonathan Graehl (HLT-NAACL, 2015)

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

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

Transfer Learning for Neural Semantic Parsing. - Xing Fan; Emilio Monti; Lambert Mathias; Markus Dreyer (Rep4NLP@ACL, 2017)

Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. - Anjishnu Kumar; Arpit Gupta; Julian Chan; Sam Tucker; Björn Hoffmeister; Markus Dreyer (CoRR, 2017)

Multi-Task Networks with Universe, Group, and Task Feature Learning. - Shiva Pentyala; Mengwen Liu; Markus Dreyer (ACL (1), 2019)

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

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

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

Efficient Few-Shot Fine-Tuning for Opinion Summarization. - Arthur Brazinskas; Ramesh Nallapati; Mohit Bansal; Markus Dreyer (NAACL-HLT (Findings), 2022)

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. - Leonardo F. R. Ribeiro; Mengwen Liu; Iryna Gurevych; Markus Dreyer; Mohit Bansal (NAACL-HLT, 2022)

Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. - Markus Dreyer; Mengwen Liu; Feng Nan; Sandeep Atluri; Sujith Ravi (EACL (Findings), 2023)

Faithfulness-Aware Decoding Strategies for Abstractive Summarization. - David Wan; Mengwen Liu; Kathleen R. McKeown; Markus Dreyer; Mohit Bansal (EACL, 2023)

Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. - Zixuan Zhang; Heba Elfardy; Markus Dreyer; Kevin Small; Heng Ji; Mohit Bansal (EACL, 2023)

Background Summarization of Event Timelines. - Adithya Pratapa; Kevin Small; Markus Dreyer (EMNLP, 2023)

Generating Summaries with Controllable Readability Levels. - Leonardo F. R. Ribeiro; Mohit Bansal; Markus Dreyer (EMNLP, 2023)

On Conditional and Compositional Language Model Differentiable Prompting. - Jonathan Pilault; Can Liu; Mohit Bansal; Markus Dreyer (IJCAI, 2023)

REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. - Vaidehi Patil; Leonardo F. R. Ribeiro; Mengwen Liu; Mohit Bansal; Markus Dreyer (ACL (1), 2024)

Unified Embeddings for Multimodal Retrieval via Frozen LLMs. - Ziyang Wang; Heba Elfardy; Markus Dreyer; Kevin Small; Mohit Bansal (EACL (Findings), 2024)

CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. - Xiang Jiang 001; Markus Dreyer (NAACL-HLT, 2024)

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

NeoQA: Evidence-based Question Answering with Generated News Events. - Max Glockner; Xiang Jiang 001; Leonardo F. R. Ribeiro; Iryna Gurevych; Markus Dreyer (ACL (Findings), 2025)

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 (CoRR, 2025)