Markus Dreyer

48 papers A* 7A 5B 1Misc 1Journal 16Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality.
CoRR
Yukun Huang, Leonardo F. R. Ribeiro, Momchil Hardalov, Bhuwan Dhingra, Markus Dreyer, Venkatesh Saligrama
2026 — conf
RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models.
EACL (Volume 1: Long Papers)
Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, Virginia Smith, Mona T. Diab
2025 J jnl
Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents.
CoRR
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 — conf
NeoQA: Evidence-based Question Answering with Generated News Events.
ACL (Findings)
Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro, Iryna Gurevych, Markus Dreyer
2025 J jnl
NeoQA: Evidence-based Question Answering with Generated News Events.
CoRR
Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro, Iryna Gurevych, Markus Dreyer
2025 J jnl
RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models.
CoRR
Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, Virginia Smith, Mona T. Diab
2024 — conf
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization.
NAACL-HLT
Xiang Jiang, Markus Dreyer
2024 J jnl
NewsQs: Multi-Source Question Generation for the Inquiring Mind.
CoRR
Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown
2024 — conf
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset.
ACL (1)
Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer
2024 — conf
Unified Embeddings for Multimodal Retrieval via Frozen LLMs.
EACL (Findings)
Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal
2023 A* conf
Background Summarization of Event Timelines.
EMNLP
Adithya Pratapa, Kevin Small, Markus Dreyer
2023 J jnl
Background Summarization of Event Timelines.
CoRR
Adithya Pratapa, Kevin Small, Markus Dreyer
2023 A conf
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction.
EACL
Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal
2023 — conf
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization.
EACL (Findings)
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
2023 A conf
Faithfulness-Aware Decoding Strategies for Abstractive Summarization.
EACL
David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal
2023 J jnl
Faithfulness-Aware Decoding Strategies for Abstractive Summarization.
CoRR
David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal
2023 A* conf
Generating Summaries with Controllable Readability Levels.
EMNLP
Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer
2023 J jnl
Generating Summaries with Controllable Readability Levels.
CoRR
Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer
2023 A* conf
On Conditional and Compositional Language Model Differentiable Prompting.
IJCAI
Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer
2023 J jnl
On Conditional and Compositional Language Model Differentiable Prompting.
CoRR
Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer
2022 — conf
Efficient Few-Shot Fine-Tuning for Opinion Summarization.
NAACL-HLT (Findings)
Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer
2022 J jnl
Efficient Few-Shot Fine-Tuning for Opinion Summarization.
CoRR
Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer
2022 — conf
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations.
NAACL-HLT
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
2022 J jnl
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations.
CoRR
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
2021 J jnl
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints.
CoRR
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
2021 — conf
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters.
NAACL-HLT
Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer
2021 J jnl
Transductive Learning for Abstractive News Summarization.
CoRR
Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer
2019 J jnl
Multi-Task Networks With Universe, Group, and Task Feature Learning.
CoRR
Shiva Pentyala, Mengwen Liu, Markus Dreyer
2019 — conf
Multi-Task Networks with Universe, Group, and Task Feature Learning.
ACL (1)
Shiva Pentyala, Mengwen Liu, Markus Dreyer
2017 J jnl
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding.
CoRR
Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Björn Hoffmeister, Markus Dreyer
2017 — conf
Transfer Learning for Neural Semantic Parsing.
Rep4NLP@ACL
Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer
2017 J jnl
Transfer Learning for Neural Semantic Parsing.
CoRR
Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer
2017 A conf
Zero-Shot Learning Across Heterogeneous Overlapping Domains.
INTERSPEECH
Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Björn Hoffmeister
2016 A conf
LatticeRnn: Recurrent Neural Networks Over Lattices.
INTERSPEECH
Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow, Björn Hoffmeister
2015 — conf
APRO: All-Pairs Ranking Optimization for MT Tuning.
HLT-NAACL
Markus Dreyer, Yuanzhe Dong
2015 — conf
hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs.
HLT-NAACL
Markus Dreyer, Jonathan Graehl
2012 — conf
HyTER: Meaning-Equivalent Semantics for Translation Evaluation.
HLT-NAACL
Markus Dreyer, Daniel Marcu
2011 — conf
A non-parametric Bayesian approach to inflectional morphology.
MLSLP
Jason Eisner, Markus Dreyer
2011 A* conf
Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model.
EMNLP
Markus Dreyer, Jason Eisner
2011 Misc conf
Hill climbing on speech lattices: A new rescoring framework.
ICASSP
Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanjeev Khudanpur, Bhuvana Ramabhadran, Mark Dredze
2009 A* conf
Graphical Models over Multiple Strings.
EMNLP
Markus Dreyer, Jason Eisner
2009 — conf
HLTCOE Approaches to Knowledge Base Population at TAC 2009.
TAC
Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine D. Piatko, Delip Rao, David Yarowsky, Markus Dreyer
2008 A* conf
Latent-Variable Modeling of String Transductions with Finite-State Methods.
EMNLP
Markus Dreyer, Jason Smith, Jason Eisner
2008 — conf
Machine Translation System Combination using ITG-based Alignments.
ACL (2)
Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer
2007 — conf
Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation.
SSST@HLT-NAACL
Markus Dreyer, Keith B. Hall, Sanjeev Khudanpur
2007 A conf
Exploiting prosody for PCFGs with latent annotations.
INTERSPEECH
Markus Dreyer, Izhak Shafran
2006 A* conf
Better Informed Training of Latent Syntactic Features.
EMNLP
Markus Dreyer, Jason Eisner
2006 B conf
Vine Parsing and Minimum Risk Reranking for Speed and Precision.
CoNLL
Markus Dreyer, David A. Smith, Noah A. Smith