← Authors

Nikolaos Aletras

88 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (9) 🏠 Conference Loyalist (25) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (11) πŸ”¬ Deep Specialist (22) πŸ—ƒοΈ Keyword Collector (298) πŸ“ˆ Trend Setter ⚑ Prolific Year (10) πŸ”₯ Unstoppable (7) ❓ The Questioner (5) πŸ’Ž Century Club (86) πŸš€ Conference Pioneer

Conferences

ACL (25) EMNLP (21) IJCNLP (12) NAACL (9) EACL (7) AACL (6) COLING (6) AAAI (1) ICML (1)

Top co-authors

Daniel PreoΕ£iuc-Pietro (11) George Chrysostomou (9) Danae SΓ‘nchez Villegas (9) Ion Androutsopoulos (7) Ilias Chalkidis (7) Loic Barrault (6) Katerina Margatina (6) Kalina Bontcheva (6) Mali Jin (5) Huiyin Xue (4)

Research topics

Understanding (2) Differential Privacy (1)

Keywords

text classification (23) language model (9) social media analysis (9) attention mechanism (7) feature attribution (7) large language model (7) social media (5) domain adaptation (5) active learning (4) sentiment analysis (4) model interpretability (4) model compression (4) multimodal learning (4) neural network (4) model explanation (3) rumor detection (3) pre-trained language model (3) parameter efficiency (3) multi-label classification (3) few-shot learning (3)

Papers

Compressing Language Models for Specialized Domains EACL 2026
PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing EACL 2026
Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision EMNLP 2025
GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations EMNLP 2025
Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation? EMNLP 2025
How Private are Language Models in Abstractive Summarization? EMNLP 2025
Vocabulary-level Memory Efficiency for Language Model Fine-tuning NAACL 2025
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance AACL 2025
Self-calibration for Language Model Quantization and Pruning NAACL 2025
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling IJCNLP 2025
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance IJCNLP 2025
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling AACL 2025
RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation COLING 2024
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference EMNLP 2024
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research EMNLP 2024
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks EACL 2024
Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models NAACL 2024
On the Impact of Calibration Data in Post-training Quantization and Pruning ACL 2024
Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models ACL 2024
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets COLING 2024
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science COLING 2024
Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media COLING 2024
Regulation and NLP (RegNLP): Taming Large Language Models EMNLP 2023
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? EMNLP 2023
Active Learning Principles for In-Context Learning with Large Language Models EMNLP 2023
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues ACL 2023
Incorporating Attribution Importance for Improving Faithfulness Metrics ACL 2023
Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement ACL 2023
On the Limitations of Simulating Active Learning ACL 2023
Rethinking Semi-supervised Learning with Language Models ACL 2023
Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention EMNLP 2023
It’s about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits EACL 2023
Robust Weak Supervision with Variational Auto-Encoders ICML 2023
A Multimodal Analysis of Influencer Content on Twitter IJCNLP 2023
A Multimodal Analysis of Influencer Content on Twitter AACL 2023
We Need to Talk About Classification Evaluation Metrics in NLP AACL 2023
We Need to Talk About Classification Evaluation Metrics in NLP IJCNLP 2023
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection COLING 2022
Improving Graph-Based Text Representations with Character and Word Level N-grams AACL 2022
Automatic Identification and Classification of Bragging in Social Media ACL 2022
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English ACL 2022
An Empirical Study on Explanations in Out-of-Domain Settings ACL 2022
How does the pre-training objective affect what large language models learn about linguistic properties? ACL 2022
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning ACL 2022
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection ACL 2022
Translation Error Detection as Rationale Extraction ACL 2022
Flexible Instance-Specific Rationalization of NLP Models AAAI 2022
HashFormers: Towards Vocabulary-independent Pre-trained Transformers EMNLP 2022
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction EMNLP 2022
On the Impact of Temporal Concept Drift on Model Explanations EMNLP 2022
Improving Graph-Based Text Representations with Character and Word Level N-grams IJCNLP 2022
Combining Humor and Sarcasm for Improving Political Parody Detection NAACL 2022
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering ACL 2021
On the Ethical Limits of Natural Language Processing on Legal Text IJCNLP 2021
Analyzing Online Political Advertisements IJCNLP 2021
Knowledge Distillation for Quality Estimation IJCNLP 2021
Modeling the Severity of Complaints in Social Media NAACL 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification ACL 2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases NAACL 2021
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction EMNLP 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience EMNLP 2021
Point-of-Interest Type Prediction using Text and Images EMNLP 2021
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling EMNLP 2021
Knowledge Distillation for Quality Estimation ACL 2021
Analyzing Online Political Advertisements ACL 2021
On the Ethical Limits of Natural Language Processing on Legal Text ACL 2021
Active Learning by Acquiring Contrastive Examples EMNLP 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification IJCNLP 2021
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering IJCNLP 2021
Analyzing Political Parody in Social Media ACL 2020
LEGAL-BERT: The Muppets straight out of Law School EMNLP 2020
Point-of-Interest Type Inference from Social Media Text AACL 2020
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels EMNLP 2020
Complaint Identification in Social Media with Transformer Networks COLING 2020
Neural Legal Judgment Prediction in English ACL 2019
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis EMNLP 2019
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis IJCNLP 2019
Automatically Identifying Complaints in Social Media ACL 2019
Proceedings of the Natural Legal Language Processing Workshop 2019 NAACL 2019
Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation NAACL 2019
Multimodal Topic Labelling EACL 2017
An analysis of the user occupational class through Twitter content ACL 2015
An analysis of the user occupational class through Twitter content IJCNLP 2015
Measuring the Similarity between Automatically Generated Topics EACL 2014
Predicting and Characterising User Impact on Twitter EACL 2014
Labelling Topics using Unsupervised Graph-based Methods ACL 2014
PATHS: A System for Accessing Cultural Heritage Collections ACL 2013
Representing Topics Using Images NAACL 2013