Markus Dreyer
28 papers · 2006–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (19) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (10)
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(19)
🧭
Keyword Pioneer
🔥
Unstoppable
(5)
🚀
Conference Pioneer
💎
Century Club
(26)
⚡
Prolific Year
(6)
📈
Trend Setter
🗃️
Keyword Collector
(83)
Conferences
EMNLP (7)
NAACL (7)
ACL (5)
EACL (5)
INTERSPEECH (2)
CONLL (1)
IJCAI (1)
Top co-authors
Keywords
abstractive summarization
(7)
zero-shot learning
(2)
retrieval-augmented generation
(2)
few-shot learning
(2)
reinforcement learning
(2)
text generation
(2)
multi-document summarization
(2)
pretrained language model
(2)
factual consistency
(2)
neural network
(2)
text summarization
(2)
opinion summarization
(1)
domain adaptation
(1)
factuality evaluation
(1)
question answering
(1)
natural language generation
(1)
transfer learning
(1)
information extraction
(1)
generative evaluation
(1)
fact verification
(1)
Papers
RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models
EACL 2026
DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality
ACL 2026
NeoQA: Evidence-based Question Answering with Generated News Events
ACL 2025
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset
ACL 2024
Unified Embeddings for Multimodal Retrieval via Frozen LLMs
EACL 2024
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization
NAACL 2024
Background Summarization of Event Timelines
EMNLP 2023
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction
EACL 2023
Faithfulness-Aware Decoding Strategies for Abstractive Summarization
EACL 2023
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization
EACL 2023
Generating Summaries with Controllable Readability Levels
EMNLP 2023
On Conditional and Compositional Language Model Differentiable Prompting
IJCAI 2023
Efficient Few-Shot Fine-Tuning for Opinion Summarization
NAACL 2022
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations
NAACL 2022
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization
EMNLP 2021
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters
NAACL 2021
Multi-Task Networks with Universe, Group, and Task Feature Learning
ACL 2019
Zero-Shot Learning Across Heterogeneous Overlapping Domains
INTERSPEECH 2017
LatticeRnn: Recurrent Neural Networks Over Lattices
INTERSPEECH 2016
APRO: All-Pairs Ranking Optimization for MT Tuning
NAACL 2015
hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs
NAACL 2015
HyTER: Meaning-Equivalent Semantics for Translation Evaluation
NAACL 2012
Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model
EMNLP 2011
Graphical Models over Multiple Strings
EMNLP 2009
Machine Translation System Combination using ITG-based Alignments
ACL 2008
Latent-Variable Modeling of String Transductions with Finite-State Methods
EMNLP 2008
Vine Parsing and Minimum Risk Reranking for Speed and Precision
CONLL 2006
Better Informed Training of Latent Syntactic Features
EMNLP 2006