Mike Zhang

According to our database, Mike Zhang authored at least 40 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

NLPnorth @ TalentCLEF 2025: Comparing Discriminative, Contrastive, and Prompt-Based Methods for Job Title and Skill Matching.

Mike Zhang, Rob van der Goot

CoRR, June, 2025

Scaling Reasoning can Improve Factuality in Large Language Models.

Mike Zhang, Johannes Bjerva, Russa Biswas

CoRR, May, 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, Luísa Shimabucoro, Joseph Marvin Imperial, Rishabh Maheshwary, Sharad Duwal, Alfonso Amayuelas, Swati Rajwal, Jebish Purbey, Ahmed Ruby, Nicholas Popovic, Marek Suppa, Azmine Toushik Wasi, Ram Mohan Rao Kadiyala, Olga Tsymboi, Maksim Kostritsya, Bardia Soltani Moakhar, Gabriel da Costa Merlin, Otávio Ferracioli Coletti, Maral Jabbarishiviari, MohammadAmin farahani fard, Silvia Fernandez, María Grandury, Dmitry Abulkhanov, Drishti Sharma, André Guarnier de Mitri, Leticia Bossatto Marchezi, Setayesh Heydari, Johan S. Obando-Ceron, Nazar Kohut, Beyza Ermis, Desmond Elliott, Enzo Ferrante, Sara Hooker, Marzieh Fadaee

CoRR, April, 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, April, 2025

How Do Hackathons Foster Creativity? Towards AI Collaborative Evaluation of Creativity at Scale.

Jeanette Falk, Yiyi Chen, Janet Rafner, Mike Zhang, Johannes Bjerva, Alexander Nolte

CoRR, March, 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, February, 2025

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.

Longxu Dou, Qian Liu, Fan Zhou, Changyu Chen, Zili Wang, Ziqi Jin, Zichen Liu, Tongyao Zhu, Cunxiao Du, Penghui Yang, Haonan Wang, Jiaheng Liu, Yongchi Zhao, Xiachong Feng, Xin Mao, Man Tsung Yeung, Kunat Pipatanakul, Fajri Koto, Min Si Thu, Hynek Kydlícek, Zeyi Liu, Qunshu Lin, Sittipong Sripaisarnmongkol, Kridtaphad Sae-Khow, Nirattisai Thongchim, Taechawat Konkaew, Narong Borijindargoon, Anh Dao, Matichon Maneegard, Phakphum Artkaew, Zheng-Xin Yong, Quan Nguyen, Wannaphong Phatthiyaphaibun, Hoang H. Tran, Mike Zhang, Shiqi Chen, Tianyu Pang, Chao Du, Xinyi Wan, Wei Lu, Min Lin

CoRR, February, 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, February, 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, February, 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, Jessica Zosa Forde, Carolin Holtermann, Lucie-Aimée Kaffee, Tanmay Laud, Anne Lauscher, Roberto L. Lopez-Davila, Maraim Masoud, Nikita Nangia, Anaelia Ovalle, Giada Pistilli, Dragomir Radev, Beatrice Savoldi, Vipul Raheja, Jeremy Qin, Esther Ploeger, Arjun Subramonian, Kaustubh D. Dhole, Kaiser Sun, Amirbek Djanibekov, Jonibek Mansurov, Kayo Yin, Emilio Villa Cueva, Sagnik Mukherjee, Jerry Huang, Xudong Shen, Jay Gala, Hamdan Al-Ali, Tair Djanibekov, Nurdaulet Mukhituly, Shangrui Nie, Shanya Sharma, Karolina Stanczak, Eliza Szczechla, Tiago Timponi Torrent, Deepak Tunuguntla, Marcelo Viridiano, Oskar Van Der Wal, Adina Yakefu, Aurélie Névéol, Mike Zhang, Sydney Zink, Zeerak Talat

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge.

Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Mohamed A. Haggag, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzeminski, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando-Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Responsible Development of Automated Student Feedback with Generative AI.

Euan D. Lindsay, Mike Zhang, Aditya Johri, Johannes Bjerva

Proceedings of the IEEE Global Engineering Education Conference, 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, Mihail Minkov Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Gian Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Hafizi Amirudin, Muhammad Ridzuan, Daniya Najiha Abdul Kareem, Ketan Pravin More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan Augusto Zacarias Xavier, Amit Bhatkal, Hawau Olamide Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

How Do Hackathons Foster Creativity? Towards Automated Evaluation of Creativity at Scale.

Jeanette Falk, Yiyi Chen, Janet Rafner, Mike Zhang, Johannes Bjerva, Alexander Nolte

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

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

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, Mihail Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Amirudin, Muhammad Ridzuan, Daniya Kareem, Ketan More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan A. Z. Xavier, Amit Bhatkal, Hawau Olamide Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman Khan, Fahad Khan

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

Computational Job Market Analysis with Natural Language Processing.

Mike Zhang

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, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Chien Vu, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker

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

Rethinking Skill Extraction in the Job Market Domain using Large Language Models.

Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut

CoRR, 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

Entity Linking in the Job Market Domain.

Mike Zhang, Rob van der Goot, Barbara Plank

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

NNOSE: Nearest Neighbor Occupational Skill Extraction.

Mike Zhang, Rob van der Goot, Min-Yen Kan, Barbara Plank

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models.

Mike Zhang, Kaixian Qu, Vaishakh Patil, Cesar Cadena, Marco Hutter

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Learning to Open and Traverse Doors with a Legged Manipulator.

Mike Zhang, Yuntao Ma, Takahiro Miki, Marco Hutter

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Can Humans Identify Domains?

Maria Barrett, Max Müller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.

Shivalika Singh, Freddie Vargus, Daniel D'souza, Börje Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O'Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzeminski, Hakimeh Fadaei, Irem Ergün, Ifeoma Okoh, Aisha Alaagib, Oshan Mudannayake, Zaid Alyafeai, Minh Vu Chien, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain.

Mike Zhang, Rob van der Goot, Barbara Plank

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Evidence > Intuition: Transferability Estimation for Encoder Selection.

Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank

CoRR, 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

SkillSpan: Hard and Soft Skill Extraction from English Job Postings.

Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, Barbara Plank

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning.

Mike Zhang, Kristian Nørgaard Jensen, Barbara Plank

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Skill Extraction from Job Postings using Weak Supervision.

Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot, Barbara Plank

Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Evidence \textgreater Intuition: Transferability Estimation for Encoder Selection.

Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

De-identification of Privacy-related Entities in Job Postings.

Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank

Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

Cartography Active Learning.

Mike Zhang, Barbara Plank

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

The Effect of Translationese in Machine Translation Test Sets.

Mike Zhang, Antonio Toral

Proceedings of the Fourth Conference on Machine Translation, 2019

Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate.

Mike Zhang, Roy David, Leon Graumans, Gerben Timmerman

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019