Mateusz Lango
16 papers · 2016–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (14)
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Taxonomy Completionist
(30)
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Conference Polyglot
(5)
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Academic Marathon
(9)
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Century Club
(14)
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Prolific Year
(5)
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Keyword Collector
(65)
Conferences
EMNLP (7)
ACL (4)
COLING (2)
SEMEVAL (2)
EACL (1)
Top co-authors
Research topics
Keywords
transfer learning
(4)
large language model
(4)
sentiment analysis
(2)
text classification
(2)
prompt engineering
(2)
clickbait detection
(2)
aspect-sentiment triplet extraction
(2)
spoiler type detection
(2)
human evaluation
(2)
reproducibility study
(2)
language acquisition
(1)
synthetic data generation
(1)
text style transfer
(1)
language learning
(1)
multilingual nlp
(1)
flow matching
(1)
hallucination mitigation
(1)
evaluation methodology
(1)
low-rank adaptation
(1)
language model
(1)
Papers
One-step Nonautoregressive Natural Language Generation with Shortcut Flow Matching Models
ACL 2026
Reasoning Gets Harder for LLMs Inside A Dialogue
ACL 2026
SRS-Stories: Vocabulary-constrained multilingual story generation for language learning
EMNLP 2025
ReproHum #0669-08: Reproducing Sentiment Transfer Evaluation
ACL 2025
LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators
EMNLP 2025
You are an LLM teaching a smaller model everything you know: Multi-task pretraining of language models with LLM-designed study plans
EMNLP 2025
Pretraining Language Models with LoRA and Artificial Languages
EMNLP 2025
ASTE-Transformer: Modelling Dependencies in Aspect-Sentiment Triplet Extraction
EMNLP 2024
ReproHum #0043-4: Evaluating Summarization Models: investigating the impact of education and language proficiency on reproducibility
COLING 2024
Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish
COLING 2024
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
EACL 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
EMNLP 2024
Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait
ACL 2023
Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait
SEMEVAL 2023
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation
EMNLP 2023
PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis
SEMEVAL 2016