Christof Monz

Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning EACL 2026 What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs EACL 2026 Reward-Guided Speculative Decoding for Efficient LLM Reasoning ICML 2025 Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation ACL 2025 ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning ACL 2025 ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling EMNLP 2025 Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? ICLR 2025 UvA-MT at WMT25 Evaluation Task: LLM Uncertainty as a Proxy for Translation Quality EMNLP 2025 UvA-MT’s Participation in the WMT25 General Translation Shared Task EMNLP 2025 Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets EMNLP 2025 An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks EMNLP 2025 The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation EMNLP 2025 Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation EMNLP 2025 How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation NAACL 2025 ApiQ: Finetuning of 2-Bit Quantized Large Language Model EMNLP 2024 Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models EACL 2024 Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation EACL 2024 3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability NIPS 2024 The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities ACL 2024 How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data ACL 2024 IKUN for WMT24 General MT Task: LLMs Are Here for Multilingual Machine Translation EMNLP 2024 UvA-MT’s Participation in the WMT24 General Translation Shared Task EMNLP 2024 Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet EMNLP 2024 Representational Isomorphism and Alignment of Multilingual Large Language Models EMNLP 2024 The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models EMNLP 2024 Communicating with Speakers and Listeners of Different Pragmatic Levels EMNLP 2024 Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP 2024 Multilingual k-Nearest-Neighbor Machine Translation EMNLP 2023 Parameter-Efficient Fine-Tuning without Introducing New Latency ACL 2023 NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization ACL 2023 Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning NIPS 2023 Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation EMNLP 2023 Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance EMNLP 2023 Ask Language Model to Clean Your Noisy Translation Data EMNLP 2023 Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens EMNLP 2023 Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023 Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet EMNLP 2023 UvA-MT’s Participation in the WMT 2023 General Translation Shared Task EMNLP 2023 Findings of the 2022 Conference on Machine Translation (WMT22) EMNLP 2022 Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token EMNLP 2022 Findings of the 2021 Conference on Machine Translation (WMT21) EMNLP 2021 NLQuAD: A Non-Factoid Long Question Answering Data Set EACL 2021 RefNet: A Reference-Aware Network for Background Based Conversation AAAI 2020 Findings of the 2020 Conference on Machine Translation (WMT20) EMNLP 2020 The Unreasonable Volatility of Neural Machine Translation Models ACL 2020 Optimizing Transformer for Low-Resource Neural Machine Translation COLING 2020 Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation AAAI 2020 Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers) ACL 2019 Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2) ACL 2019 Findings of the 2019 Conference on Machine Translation (WMT19) ACL 2019 Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) ACL 2019 Proceedings of the Third Conference on Machine Translation: Shared Task Papers EMNLP 2018 Findings of the 2018 Conference on Machine Translation (WMT18) EMNLP 2018 The Importance of Being Recurrent for Modeling Hierarchical Structure EMNLP 2018 Proceedings of the Third Conference on Machine Translation: Research Papers EMNLP 2018 Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation EMNLP 2018 What does Attention in Neural Machine Translation Pay Attention to? IJCNLP 2017 Learning Topic-Sensitive Word Representations ACL 2017 Dynamic Data Selection for Neural Machine Translation EMNLP 2017 Data Augmentation for Low-Resource Neural Machine Translation ACL 2017 Recurrent Memory Networks for Language Modeling NAACL 2016 Improving Statistical Machine Translation Performance by Oracle-BLEU Model Re-estimation ACL 2016 Measuring the Effect of Conversational Aspects on Machine Translation Quality COLING 2016 Ensemble Learning for Multi-Source Neural Machine Translation COLING 2016 Bilingual Structured Language Models for Statistical Machine Translation EMNLP 2015 What’s in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation IJCNLP 2015 What’s in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation ACL 2015 Class-Based Language Modeling for Translating into Morphologically Rich Languages COLING 2014 Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks EMNLP 2014 Dependency-Based Bilingual Language Models for Reordering in Statistical Machine Translation EMNLP 2014 Maximizing Component Quality in Bilingual Word-Aligned Segmentations EACL 2014 User Edits Classification Using Document Revision Histories EACL 2012 Power-Law Distributions for Paraphrases Extracted from Bilingual Corpora EACL 2012 Adaptation of Statistical Machine Translation Model for Cross-Lingual Information Retrieval in a Service Context EACL 2012 Statistical Machine Translation with Local Language Models EMNLP 2011 Automatic Single-Document Key Fact Extraction from Newswire Articles EACL 2009 The Hiero Machine Translation System: Extensions, Evaluation, and Analysis EMNLP 2005 NeurAlign: Combining Word Alignments Using Neural Networks EMNLP 2005 Alignment Link Projection Using Transformation-Based Learning EMNLP 2005