← Authors

Marek Rei

54 papers · 2010–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (90) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🀝 Dynamic Duo (11) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ❓ The Questioner ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (187) πŸ’Ž Century Club (53) πŸ”₯ Unstoppable (13)

Conferences

ACL (16) EMNLP (16) NAACL (6) CONLL (4) COLING (3) EACL (3) IJCNLP (3) AAAI (2) SEMEVAL (1)

Top co-authors

Helen Yannakoudakis (11) Joe Stacey (6) Paula Buttery (5) Anders SΓΈgaard (5) Andrew Caines (5) Christopher Bryant (4) Zheng Yuan (4) Lucia Specia (4) Ekaterina Shutova (4) Christopher Davis (3)

Research topics

Natural Language Processing (1)

Keywords

sequence labeling (9) text classification (6) large language model (6) grammatical error correction (5) word embedding (5) attention mechanism (5) metaphor identification (4) zero-shot learning (4) grammatical error detection (4) token classification (4) natural language inference (4) subject-verb agreement (3) multitask learning (3) multimodal learning (3) text generation (3) pre-trained language model (3) error detection (3) named entity recognition (3) semi-supervised learning (3) language model (3)

Papers

Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection EACL 2026
StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking ACL 2025
No Need for Explanations: LLMs can implicitly learn from mistakes in-context EMNLP 2025
Meta-Reasoning Improves Tool Use in Large Language Models NAACL 2025
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising ACL 2025
Atomic Inference for NLI with Generated Facts as Atoms EMNLP 2024
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation ACL 2024
Prompting open-source and commercial language models for grammatical error correction of English learner text ACL 2024
Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records ACL 2024
An Extended Sequence Tagging Vocabulary for Grammatical Error Correction EACL 2023
When and Why Does Bias Mitigation Work? EMNLP 2023
Modelling Temporal Document Sequences for Clinical ICD Coding EACL 2023
Multimodal Conversation Modelling for Topic Derailment Detection EMNLP 2022
Guiding Visual Question Generation NAACL 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference AAAI 2022
Memorisation versus Generalisation in Pre-trained Language Models ACL 2022
Control Prefixes for Parameter-Efficient Text Generation EMNLP 2022
Probing for targeted syntactic knowledge through grammatical error detection CONLL 2022
Probing for targeted syntactic knowledge through grammatical error detection EMNLP 2022
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models EMNLP 2022
Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers ACL 2021
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method EMNLP 2021
Visual Cues and Error Correction for Translation Robustness EMNLP 2021
Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers IJCNLP 2021
Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels COLING 2020
Grammatical error detection in transcriptions of spoken English COLING 2020
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses EMNLP 2020
Verbal Multiword Expressions for Identification of Metaphor ACL 2020
Multidirectional Associative Optimization of Function-Specific Word Representations ACL 2020
Context is Key: Grammatical Error Detection with Contextual Word Representations ACL 2019
Jointly Learning to Label Sentences and Tokens AAAI 2019
Neural and FST-based approaches to grammatical error correction ACL 2019
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) ACL 2019
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling EMNLP 2019
Modelling the interplay of metaphor and emotion through multitask learning EMNLP 2019
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models EMNLP 2019
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling IJCNLP 2019
Modelling the interplay of metaphor and emotion through multitask learning IJCNLP 2019
A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors NAACL 2019
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets SEMEVAL 2019
Sequence Classification with Human Attention CONLL 2018
Scoring Lexical Entailment with a Supervised Directional Similarity Network ACL 2018
Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens NAACL 2018
Variable Typing: Assigning Meaning to Variables in Mathematical Text NAACL 2018
Neural Sequence-Labelling Models for Grammatical Error Correction EMNLP 2017
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection EMNLP 2017
Semi-supervised Multitask Learning for Sequence Labeling ACL 2017
Automatic Text Scoring Using Neural Networks ACL 2016
Compositional Sequence Labeling Models for Error Detection in Learner Writing ACL 2016
Attending to Characters in Neural Sequence Labeling Models COLING 2016
Online Representation Learning in Recurrent Neural Language Models EMNLP 2015
Looking for Hyponyms in Vector Space CONLL 2014
Parser lexicalisation through self-learning NAACL 2013
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection CONLL 2010