Valentin Hofmann

According to our database, Valentin Hofmann authored at least 25 papers between 2020 and 2024.

Collaborative distances:

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

2024

AI generates covertly racist decisions about people based on their dialect.

Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King

Nat., September, 2024

Geographic Adaptation of Pretrained Language Models.

Valentin Hofmann, Goran Glavas, Nikola Ljubesic, Janet B. Pierrehumbert, Hinrich Schütze

Trans. Assoc. Comput. Linguistics, 2024

One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks.

Fangru Lin, Shaoguang Mao, Emanuele La Malfa, Valentin Hofmann, Adrian de Wynter, Jing Yao, Si-Qing Chen, Michael J. Wooldridge, Furu Wei

CoRR, 2024

Dialect prejudice predicts AI decisions about people's character, employability, and criminality.

Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King

CoRR, 2024

Graph-enhanced Large Language Models in Asynchronous Plan Reasoning.

Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony G. Cohn, Janet B. Pierrehumbert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo

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

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.

Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Kirk, Hinrich Schütze, Dirk Hovy

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

2023

Explaining pretrained language models' understanding of linguistic structures using construction grammar.

Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze

Frontiers Artif. Intell., February, 2023

Paloma: A Benchmark for Evaluating Language Model Fit.

Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge

CoRR, 2023

Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.

Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse.

Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert

Dataset, January, 2022

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.

Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schütze

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

The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse.

Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology.

Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze

Proceedings of the International Conference on Machine Learning, 2022

The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative.

Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze

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

CaMEL: Case Marker Extraction without Labels.

Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schütze

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers.

Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.

Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze

CoRR, 2021

Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology.

Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze

CoRR, 2021

Dynamic Contextualized Word Embeddings.

Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words.

Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Generating Derivational Morphology with BERT.

Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze

CoRR, 2020

DagoBERT: Generating Derivational Morphology with a Pretrained Language Model.

Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Graph Auto-encoder Model of Derivational Morphology.

Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Predicting the Growth of Morphological Families from Social and Linguistic Factors.

Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020