Marek Rei
55 papers · 2010–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (15) π Conference Polyglot (9) π£ Hot Topic Early Bird π Interdisciplinary Bridge π Cross-Pollinator (14)
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Cross-Pollinator
(14)
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Hot Topic Early Bird
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Academic Marathon
(15)
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Dynamic Duo
(11)
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Topic Evolution
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Keyword Champion
(4)
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Trend Setter
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Conference Pioneer
β
The Questioner
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Prolific Year
(5)
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Keyword Collector
(187)
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Century Club
(53)
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Unstoppable
(13)
Conferences
ACL (17)
EMNLP (16)
NAACL (6)
CONLL (4)
COLING (3)
EACL (3)
IJCNLP (3)
AAAI (2)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
sequence labeling
(9)
large language model
(7)
text classification
(6)
word embedding
(5)
grammatical error correction
(5)
attention mechanism
(5)
zero-shot learning
(4)
metaphor identification
(4)
grammatical error detection
(4)
natural language inference
(4)
token classification
(4)
multimodal learning
(3)
multitask learning
(3)
subject-verb agreement
(3)
text generation
(3)
language model
(3)
mathematical reasoning
(3)
error detection
(3)
semi-supervised learning
(3)
named entity recognition
(3)
Papers
AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios
ACL 2026
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
EACL 2026
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
EMNLP 2025
StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking
ACL 2025
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
ACL 2025
Meta-Reasoning Improves Tool Use in Large Language Models
NAACL 2025
Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records
ACL 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
Atomic Inference for NLI with Generated Facts as Atoms
EMNLP 2024
Modelling Temporal Document Sequences for Clinical ICD Coding
EACL 2023
An Extended Sequence Tagging Vocabulary for Grammatical Error Correction
EACL 2023
When and Why Does Bias Mitigation Work?
EMNLP 2023
Probing for targeted syntactic knowledge through grammatical error detection
CONLL 2022
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
EMNLP 2022
Probing for targeted syntactic knowledge through grammatical error detection
EMNLP 2022
Memorisation versus Generalisation in Pre-trained Language Models
ACL 2022
Control Prefixes for Parameter-Efficient Text Generation
EMNLP 2022
Guiding Visual Question Generation
NAACL 2022
Multimodal Conversation Modelling for Topic Derailment Detection
EMNLP 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
AAAI 2022
Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers
ACL 2021
Visual Cues and Error Correction for Translation Robustness
EMNLP 2021
Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers
IJCNLP 2021
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method
EMNLP 2021
Multidirectional Associative Optimization of Function-Specific Word Representations
ACL 2020
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
EMNLP 2020
Grammatical error detection in transcriptions of spoken English
COLING 2020
Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels
COLING 2020
Verbal Multiword Expressions for Identification of Metaphor
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
Zero-Shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
NAACL 2018
Variable Typing: Assigning Meaning to Variables in Mathematical Text
NAACL 2018
Scoring Lexical Entailment with a Supervised Directional Similarity Network
ACL 2018
Neural Sequence-Labelling Models for Grammatical Error Correction
EMNLP 2017
Semi-supervised Multitask Learning for Sequence Labeling
ACL 2017
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
EMNLP 2017
Attending to Characters in Neural Sequence Labeling Models
COLING 2016
Compositional Sequence Labeling Models for Error Detection in Learner Writing
ACL 2016
Automatic Text Scoring Using Neural Networks
ACL 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