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2020 – today
- 2024
[c29]Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer:
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. ACL (1) 2024: 13773-13786- [c28]Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal:
Unified Embeddings for Multimodal Retrieval via Frozen LLMs. EACL (Findings) 2024: 1537-1547 - [c27]Xiang Jiang, Markus Dreyer:
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. NAACL-HLT 2024: 7306-7336 - [i13]Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown:
NewsQs: Multi-Source Question Generation for the Inquiring Mind. CoRR abs/2402.18479 (2024) - 2023
- [c26]Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal:
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. EACL 2023: 1688-1699 - [c25]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. EACL (Findings) 2023: 2044-2060 - [c24]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. EACL 2023: 2856-2872 - [c23]Adithya Pratapa, Kevin Small, Markus Dreyer:
Background Summarization of Event Timelines. EMNLP 2023: 8111-8136 - [c22]Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer:
Generating Summaries with Controllable Readability Levels. EMNLP 2023: 11669-11687 - [c21]Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer:
On Conditional and Compositional Language Model Differentiable Prompting. IJCAI 2023: 4136-4144 - [i12]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. CoRR abs/2303.03278 (2023) - [i11]Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer:
On Conditional and Compositional Language Model Differentiable Prompting. CoRR abs/2307.01446 (2023) - [i10]Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer:
Generating Summaries with Controllable Readability Levels. CoRR abs/2310.10623 (2023) - [i9]Adithya Pratapa, Kevin Small, Markus Dreyer:
Background Summarization of Event Timelines. CoRR abs/2310.16197 (2023) - 2022
- [c20]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. NAACL-HLT (Findings) 2022: 1509-1523 - [c19]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. NAACL-HLT 2022: 3238-3253 - [i8]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR abs/2204.06508 (2022) - [i7]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. CoRR abs/2205.02170 (2022) - 2021
- [c18]Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer:
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT 2021: 4768-4779 - [i6]Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer:
Transductive Learning for Abstractive News Summarization. CoRR abs/2104.09500 (2021) - [i5]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR abs/2108.02859 (2021)
2010 – 2019
- 2019
- [c17]Shiva Pentyala, Mengwen Liu, Markus Dreyer:
Multi-Task Networks with Universe, Group, and Task Feature Learning. ACL (1) 2019: 820-830 - [i4]Shiva Pentyala, Mengwen Liu, Markus Dreyer:
Multi-Task Networks With Universe, Group, and Task Feature Learning. CoRR abs/1907.01791 (2019) - 2017
- [c16]Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Björn Hoffmeister:
Zero-Shot Learning Across Heterogeneous Overlapping Domains. INTERSPEECH 2017: 2914-2918 - [c15]Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer:
Transfer Learning for Neural Semantic Parsing. Rep4NLP@ACL 2017: 48-56 - [i3]Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer:
Transfer Learning for Neural Semantic Parsing. CoRR abs/1706.04326 (2017) - [i2]Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Björn Hoffmeister, Markus Dreyer:
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. CoRR abs/1711.00549 (2017) - 2016
- [c14]Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow, Björn Hoffmeister:
LatticeRnn: Recurrent Neural Networks Over Lattices. INTERSPEECH 2016: 695-699 - 2015
- [c13]Markus Dreyer, Jonathan Graehl:
hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs. HLT-NAACL 2015: 11-15 - [c12]Markus Dreyer, Yuanzhe Dong:
APRO: All-Pairs Ranking Optimization for MT Tuning. HLT-NAACL 2015: 1018-1023 - 2012
- [c11]Markus Dreyer, Daniel Marcu:
HyTER: Meaning-Equivalent Semantics for Translation Evaluation. HLT-NAACL 2012: 162-171 - 2011
- [c10]Markus Dreyer, Jason Eisner:
Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. EMNLP 2011: 616-627 - [c9]Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanjeev Khudanpur, Bhuvana Ramabhadran, Mark Dredze:
Hill climbing on speech lattices: A new rescoring framework. ICASSP 2011: 5032-5035 - [c8]Jason Eisner, Markus Dreyer:
A non-parametric Bayesian approach to inflectional morphology. MLSLP 2011
2000 – 2009
- 2009
- [c7]Markus Dreyer, Jason Eisner:
Graphical Models over Multiple Strings. EMNLP 2009: 101-110 - [i1]Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine D. Piatko, Delip Rao, David Yarowsky, Markus Dreyer:
HLTCOE Approaches to Knowledge Base Population at TAC 2009. TAC 2009 - 2008
- [c6]Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer:
Machine Translation System Combination using ITG-based Alignments. ACL (2) 2008: 81-84 - [c5]Markus Dreyer, Jason Smith, Jason Eisner:
Latent-Variable Modeling of String Transductions with Finite-State Methods. EMNLP 2008: 1080-1089 - 2007
- [c4]Markus Dreyer, Izhak Shafran:
Exploiting prosody for PCFGs with latent annotations. INTERSPEECH 2007: 450-453 - [c3]Markus Dreyer, Keith B. Hall, Sanjeev Khudanpur:
Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation. SSST@HLT-NAACL 2007: 103-110 - 2006
- [c2]Markus Dreyer, David A. Smith, Noah A. Smith:
Vine Parsing and Minimum Risk Reranking for Speed and Precision. CoNLL 2006: 201-205 - [c1]Markus Dreyer, Jason Eisner:
Better Informed Training of Latent Syntactic Features. EMNLP 2006: 317-326
Coauthor Index
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last updated on 2024-09-27 00:37 CEST by the dblp team
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