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ORCIDValentin Hofmann
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Journal Articles
- 2024
[j3]Valentin Hofmann
, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King:
AI generates covertly racist decisions about people based on their dialect. Nat. 633(8028): 147-154 (2024)- [j2]Valentin Hofmann, Goran Glavas, Nikola Ljubesic, Janet B. Pierrehumbert, Hinrich Schütze:
Geographic Adaptation of Pretrained Language Models. Trans. Assoc. Comput. Linguistics 12: 411-431 (2024) - 2023
- [j1]Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze:
Explaining pretrained language models' understanding of linguistic structures using construction grammar. Frontiers Artif. Intell. 6 (2023)
Conference and Workshop Papers
- 2024
- [c15]Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Kirk, Hinrich Schütze, Dirk Hovy:
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models. ACL (1) 2024: 15295-15311 - [c14]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, Evan Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. ACL (1) 2024: 15725-15788 - [c13]Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony G. Cohn, Janet B. Pierrehumbert:
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. ICML 2024 - 2023
- [c12]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:
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. EMNLP 2023: 6508-6524 - 2022
- [c11]Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert:
An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. ACL (2) 2022: 385-393 - [c10]Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schütze:
CaMEL: Case Marker Extraction without Labels. ACL (1) 2022: 5506-5516 - [c9]Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze:
The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative. EMNLP 2022: 10859-10882 - [c8]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology. ICML 2022: 8796-8810 - [c7]Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert:
The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse. ICWSM 2022: 1259-1267 - [c6]Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schütze:
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. NAACL-HLT (Findings) 2022: 536-550 - 2021
- [c5]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words. ACL/IJCNLP (1) 2021: 3594-3608 - [c4]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Dynamic Contextualized Word Embeddings. ACL/IJCNLP (1) 2021: 6970-6984 - 2020
- [c3]Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert:
A Graph Auto-encoder Model of Derivational Morphology. ACL 2020: 1127-1138 - [c2]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Predicting the Growth of Morphological Families from Social and Linguistic Factors. ACL 2020: 7273-7283 - [c1]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
DagoBERT: Generating Derivational Morphology with a Pretrained Language Model. EMNLP (1) 2020: 3848-3861
Data and Artifacts
- 2022
- [d1]Valentin Hofmann, Hinrich Schütze, Janet B. Pierrehumbert:
The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse. Zenodo, 2022
Informal and Other Publications
- 2024
- [i14]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:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR abs/2402.00159 (2024) - [i13]Fangru Lin, Emanuele La Malfa, Valentin Hofmann, Elle Michelle Yang, Anthony G. Cohn, Janet B. Pierrehumbert:
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. CoRR abs/2402.02805 (2024) - [i12]Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Rose Kirk, Hinrich Schütze, Dirk Hovy:
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models. CoRR abs/2402.16786 (2024) - [i11]Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King:
Dialect prejudice predicts AI decisions about people's character, employability, and criminality. CoRR abs/2403.00742 (2024) - 2023
- [i10]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:
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. CoRR abs/2310.15113 (2023) - [i9]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:
Paloma: A Benchmark for Evaluating Language Model Fit. CoRR abs/2312.10523 (2023) - 2022
- [i8]Valentin Hofmann, Goran Glavas, Nikola Ljubesic, Janet B. Pierrehumbert, Hinrich Schütze:
Geographic Adaptation of Pretrained Language Models. CoRR abs/2203.08565 (2022) - [i7]Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet, Hinrich Schütze:
CaMEL: Case Marker Extraction without Labels. CoRR abs/2203.10010 (2022) - [i6]Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, Hinrich Schütze:
The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative. CoRR abs/2210.13181 (2022) - [i5]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology. CoRR abs/2212.07547 (2022) - 2021
- [i4]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology. CoRR abs/2101.00403 (2021) - [i3]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Modeling Ideological Agenda Setting and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. CoRR abs/2104.08829 (2021) - 2020
- [i2]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Generating Derivational Morphology with BERT. CoRR abs/2005.00672 (2020) - [i1]Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Dynamic Contextualized Word Embeddings. CoRR abs/2010.12684 (2020)
Coauthor Index
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