Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate. - Mike Zhang; Roy David; Leon Graumans; Gerben Timmerman (SemEval@NAACL-HLT, 2019)

The Effect of Translationese in Machine Translation Test Sets. - Mike Zhang; Antonio Toral (WMT (1), 2019)

Cartography Active Learning. - Mike Zhang; Barbara Plank (EMNLP (Findings), 2021)

De-identification of Privacy-related Entities in Job Postings. - Kristian Nørgaard Jensen; Mike Zhang; Barbara Plank (NoDaLiDa, 2021)

Evidence textgreater Intuition: Transferability Estimation for Encoder Selection. - Elisa Bassignana; Max Müller-Eberstein; Mike Zhang; Barbara Plank (EMNLP, 2022)

Experimental Standards for Deep Learning in Natural Language Processing Research. - Dennis Ulmer; Elisa Bassignana; Max Müller-Eberstein; Daniel Varab; Mike Zhang; Rob van der Goot; Christian Hardmeier; Barbara Plank (EMNLP (Findings), 2022)

Skill Extraction from Job Postings using Weak Supervision. - Mike Zhang; Kristian Nørgaard Jensen; Rob van der Goot; Barbara Plank (HR@RecSys, 2022)

Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning. - Mike Zhang; Kristian Nørgaard Jensen; Barbara Plank (LREC, 2022)

SkillSpan: Hard and Soft Skill Extraction from English Job Postings. - Mike Zhang; Kristian Nørgaard Jensen; Sif Dam Sonniks; Barbara Plank (NAACL-HLT, 2022)

Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective. - Dennis Ulmer; Elisa Bassignana; Max Müller-Eberstein; Daniel Varab; Mike Zhang; Christian Hardmeier; Barbara Plank (CoRR, 2022)

Evidence > Intuition: Transferability Estimation for Encoder Selection. - Elisa Bassignana; Max Müller-Eberstein; Mike Zhang; Barbara Plank (CoRR, 2022)

ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain. - Mike Zhang; Rob van der Goot; Barbara Plank (ACL (1), 2023)

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. - Shivalika Singh; Freddie Vargus; Daniel D'souza; Börje Karlsson 001; Abinaya Mahendiran; Wei-Yin Ko; Herumb Shandilya; Jay Patel; Deividas Mataciunas; Laura O'Mahony; Mike Zhang; Ramith Hettiarachchi; et al. (ACL (1), 2024)

Can Humans Identify Domains? - Maria Barrett; Max Müller-Eberstein; Elisa Bassignana; Amalie Brogaard Pauli; Mike Zhang; Rob van der Goot (LREC/COLING, 2024)

Learning to Open and Traverse Doors with a Legged Manipulator. - Mike Zhang; Yuntao Ma; Takahiro Miki; Marco Hutter 001 (CoRL, 2024)

Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models. - Mike Zhang; Kaixian Qu; Vaishakh Patil; Cesar Cadena 001; Marco Hutter 001 (CoRL, 2024)

NNOSE: Nearest Neighbor Occupational Skill Extraction. - Mike Zhang; Rob van der Goot; Min-Yen Kan; Barbara Plank (EACL (1), 2024)

Entity Linking in the Job Market Domain. - Mike Zhang; Rob van der Goot; Barbara Plank (EACL (Findings), 2024)

JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. - Antoine Magron; Anna Dai; Mike Zhang; Syrielle Montariol; Antoine Bosselut (CoRR, 2024)

Rethinking Skill Extraction in the Job Market Domain using Large Language Models. - Khanh Cao Nguyen; Mike Zhang; Syrielle Montariol; Antoine Bosselut (CoRR, 2024)

Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings. - Elena Senger; Mike Zhang; Rob van der Goot; Barbara Plank (CoRR, 2024)

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. - Shivalika Singh; Freddie Vargus; Daniel D'souza; Börje F. Karlsson; Abinaya Mahendiran; Wei-Yin Ko; Herumb Shandilya; Jay Patel; Deividas Mataciunas; Laura O'Mahony; Mike Zhang; Ramith Hettiarachchi; et al. (CoRR, 2024)

Computational Job Market Analysis with Natural Language Processing. - Mike Zhang (CoRR, 2024)

Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers. - Mike Zhang; Euan D. Lindsay; Frederik Bode Thorbensen; Danny Bøgsted Poulsen; Johannes Bjerva (CoRR, 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CoRR, 2024)

SnakModel: Lessons Learned from Training an Open Danish Large Language Model. - Mike Zhang; Max Müller-Eberstein; Elisa Bassignana; Rob van der Goot (CoRR, 2024)

How Do Hackathons Foster Creativity? Towards Automated Evaluation of Creativity at Scale. - Jeanette Falk; Yiyi Chen 002; Janet Rafner; Mike Zhang; Johannes Bjerva; Alexander Nolte (CHI, 2025)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CVPR, 2025)

The Responsible Development of Automated Student Feedback with Generative AI. - Euan D. Lindsay; Mike Zhang; Aditya Johri; Johannes Bjerva (EDUCON, 2025)

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. - Angelika Romanou; Negar Foroutan; Anna Sotnikova; Zeming Chen 001; Sree Harsha Nelaturu; Shivalika Singh; Rishabh Maheshwary; Micol Altomare; Mohamed A. Haggag; Imanol Schlag; Marzieh Fadaee; Sara Hooker; et al. (ICLR, 2025)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)

On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation. - Rune Birkmose; Nathan Mørkeberg Reece; Esben Hofstedt Norvin; Johannes Bjerva; Mike Zhang (CoRR, 2025)

SEFL: Harnessing Large Language Model Agents to Improve Educational Feedback Systems. - Mike Zhang; Amalie Pernille Dilling; Léon Gondelman; Niels Erik Ruan Lyngdorf; Euan D. Lindsay; Johannes Bjerva (CoRR, 2025)

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs. - Longxu Dou; Qian Liu 012; Fan Zhou; Changyu Chen; Zili Wang; Ziqi Jin; Zichen Liu; Tongyao Zhu; Cunxiao Du; Penghui Yang 001; Haonan Wang; Jiaheng Liu; et al. (CoRR, 2025)

HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings. - Rasmus Aavang; Giovanni Rizzi; Rasmus Bøggild; Alexandre Iolov; Mike Zhang; Johannes Bjerva (CoRR, 2025)

How Do Hackathons Foster Creativity? Towards AI Collaborative Evaluation of Creativity at Scale. - Jeanette Falk; Yiyi Chen 002; Janet Rafner; Mike Zhang; Johannes Bjerva; Alexander Nolte (CoRR, 2025)

DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers. - Max Müller-Eberstein; Mike Zhang; Elisa Bassignana; Peter Brunsgaard Trolle; Rob van der Goot (CoRR, 2025)

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation. - Israfel Salazar; Manuel Fernández Burda; Shayekh Bin Islam; Arshia Soltani Moakhar; Shivalika Singh; Fabian Farestam; Angelika Romanou; Danylo Boiko; Dipika Khullar; Mike Zhang; Dominik Krzeminski; Jekaterina Novikova; et al. (CoRR, 2025)

Scaling Reasoning can Improve Factuality in Large Language Models. - Mike Zhang; Johannes Bjerva; Russa Biswas (CoRR, 2025)

NLPnorth @ TalentCLEF 2025: Comparing Discriminative, Contrastive, and Prompt-Based Methods for Job Title and Skill Matching. - Mike Zhang; Rob van der Goot (CoRR, 2025)