Mike Zhang

According to our database, Mike Zhang authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

Learning to Open and Traverse Doors with a Legged Manipulator.

Mike Zhang, Yuntao Ma, Takahiro Miki, Marco Hutter

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

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