Home  | News

14.06.2024

Tiny logo
Teaser image to MCML at NAACL 2024

MCML at NAACL 2024

Ten Accepted Papers (3 Main, 2 Findings, and 5 Workshops)

Annual Conference of the North American Chapter of the Association for Computational Linguistics, Mexico City, Mexico, Jun 16-21, 2024

We are happy to announce that MCML researchers have contributed a total of 10 papers to NAACL 2024: 3 Main, 2 Findings, and 5 Workshop papers. Congrats to our researchers!

Main Track (3 papers)

Z. Ding • H. Cai • J. WuY. MaR. Liao • B. Xiong • V. Tresp
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

B. Deiseroth • M. Meuer • N. Gritsch • C. Eichenberg • P. Schramowski • M. Aßenmacher • K. Kersting
Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

M. Wang • H. Adel • L. Lange • J. Strötgen • H. Schütze
Rehearsal-Free Modular and Compositional Continual Learning for Language Models.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

Findings Track (2 papers)

R. Liao • X. Jia • Y. Li • Y. MaV. Tresp
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models.
Findings @NAACL 2024 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI GitHub

Y. LiuP. LinM. WangH. Schütze
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining.
Findings @NAACL 2024 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

Workshops (5 papers)

H. Chen • J. Büssing • D. RügamerE. Nie
Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text.
SemEval @NAACL 2024 - 18th International Workshop on Semantic Evaluation at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

P. Resnik • B. Ma • A. Hoyle • P. Goel • R. Sarkar • M. Gearing • A.-C. HaenschF. Kreuter
TOPCAT: Topic-Oriented Protocol for Content Analysis of Text – A Preliminary Study.
NLP+CSS @NAACL 2024 - 6th Workshop on Natural Language Processing and Computational Social Science at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

H. YeY. LiuC. MaH. Schütze
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer.
Insights from Negative Results @NAACL 2024 - 5th Workshop on Insights from Negative Results in NLP at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

Y. Zhang • V. HangyaA. Fraser
A Study of the Class Imbalance Problem in Abusive Language Detection.
WOAH @NAACL 2024 - 8th Workshop on Online Abuse and Harms at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

S. Zhou • H. Shan • B. PlankR. Litschko
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness.
SemEval @NAACL 2024 - 18th International Workshop on Semantic Evaluation at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

#research #top-tier-work #bischl #fraser #kreuter #plank #ruegamer #schuetze #tresp

Related

Link to Björn Ommer: How AI can transform society if we use it responsibly

28.04.2026

Björn Ommer: How AI Can Transform Society if We Use It Responsibly

MCML PI Björn Ommer explains the philosophy behind Stable Diffusion and why his team focuses on efficiency.

Read more
Link to Teaching NLP in the LLM Era: Workshop TeachNLP 2026

23.04.2026

Teaching NLP in the LLM Era: Workshop TeachNLP 2026

MCML member Matthias Aßenmacher co-organized TeachNLP 2026, a workshop on designing NLP courses in the era of generative AI and LLMs.

Read more
Link to Digdeep Podcast: How can Dr. ChatGPT actually help the family doctor, Prof. Jochen Gensichen?

23.04.2026

Digdeep Podcast: How Can Dr. ChatGPT Actually Help the Family Doctor, Prof. Jochen Gensichen?

The new episode of #digdeep is with Jochen Gensichen, director of general medicine at the LMU Clinic in Munich.

Read more
Link to When Vision AI Hallucinates Details

23.04.2026

When Vision AI Hallucinates Details

Why do vision-language models invent details? Our PI Zeynep Akata and her team present a fix for AI hallucinations at CVPR 2026.

Read more
Link to MCML at ICLR 2026

22.04.2026

MCML at ICLR 2026

MCML researchers are represented with 36 papers at ICLR 2026 (33 Main, and 3 Workshops).

Read more
Back to Top