Predicting the Growth of Morphological Families from Social and Linguistic Factors. - Valentin Hofmann; Janet B. Pierrehumbert; Hinrich Schütze (ACL, 2020)

A Graph Auto-encoder Model of Derivational Morphology. - Valentin Hofmann; Hinrich Schütze; Janet B. Pierrehumbert (ACL, 2020)

DagoBERT: Generating Derivational Morphology with a Pretrained Language Model. - Valentin Hofmann; Janet B. Pierrehumbert; Hinrich Schütze (EMNLP (1), 2020)

Generating Derivational Morphology with BERT. - Valentin Hofmann; Janet B. Pierrehumbert; Hinrich Schütze (CoRR, 2020)

Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words. - Valentin Hofmann; Janet B. Pierrehumbert; Hinrich Schütze (ACL/IJCNLP (1), 2021)

Dynamic Contextualized Word Embeddings. - Valentin Hofmann; Janet B. Pierrehumbert; Hinrich Schütze (ACL/IJCNLP (1), 2021)

Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology. - Valentin Hofmann; Janet B. Pierrehumbert; Hinrich Schütze (CoRR, 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)

An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers. - Valentin Hofmann; Hinrich Schütze; Janet B. Pierrehumbert (ACL (2), 2022)

CaMEL: Case Marker Extraction without Labels. - Leonie Weissweiler; Valentin Hofmann; Masoud Jalili Sabet; Hinrich Schütze (ACL (1), 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 (EMNLP, 2022)

Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology. - Valentin Hofmann; Janet B. Pierrehumbert; Hinrich Schütze (ICML, 2022)

The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse. - Valentin Hofmann; Hinrich Schütze; Janet B. Pierrehumbert (ICWSM, 2022)

Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. - Valentin Hofmann; Xiaowen Dong 001; Janet B. Pierrehumbert; Hinrich Schütze (NAACL-HLT (Findings), 2022)

The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse. - Valentin Hofmann; Hinrich Schütze; Janet B. Pierrehumbert (Zenodo, 2022)

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; et al. (EMNLP, 2023)

Explaining pretrained language models' understanding of linguistic structures using construction grammar. - Leonie Weissweiler; Valentin Hofmann; Abdullatif Köksal; Hinrich Schütze (Frontiers Artif. Intell., 2023)

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 (ACL (1), 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; et al. (ACL (1), 2024)

Graph-enhanced Large Language Models in Asynchronous Plan Reasoning. - Fangru Lin; Emanuele La Malfa; Valentin Hofmann; Elle Michelle Yang; Anthony G. Cohn 001; Janet B. Pierrehumbert (ICML, 2024)

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization. - Orevaoghene Ahia; Sachin Kumar 009; Hila Gonen; Valentin Hofmann; Tomasz Limisiewicz; Yulia Tsvetkov; Noah A. Smith (NeurIPS, 2024)

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; et al. (NeurIPS, 2024)

Dialect prejudice predicts AI decisions about people's character, employability, and criminality. - Valentin Hofmann; Pratyusha Ria Kalluri; Dan Jurafsky; Sharese King (CoRR, 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)

Derivational Morphology Reveals Analogical Generalization in Large Language Models. - Valentin Hofmann; Leonie Weissweiler; David R. Mortensen; Hinrich Schütze; Janet B. Pierrehumbert (CoRR, 2024)

Geographic Adaptation of Pretrained Language Models. - Valentin Hofmann; Goran Glavas; Nikola Ljubesic; Janet B. Pierrehumbert; Hinrich Schütze (Trans. Assoc. Comput. Linguistics, 2024)

AI generates covertly racist decisions about people based on their dialect. - Valentin Hofmann; Pratyusha Ria Kalluri; Dan Jurafsky; Sharese King (Nat., 2024)

Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks. - Fangru Lin; Shaoguang Mao; Emanuele La Malfa; Valentin Hofmann; Adrian de Wynter; Xun Wang 012; Si-Qing Chen; Michael J. Wooldridge; Janet B. Pierrehumbert; Furu Wei (ACL (1), 2025)

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race. - Lihao Sun; Chengzhi Mao; Valentin Hofmann; Xuechunzi Bai (ACL (1), 2025)

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance. - Paul Röttger; Musashi Hinck; Valentin Hofmann; Kobi Hackenburg; Valentina Pyatkin; Faeze Brahman; Dirk Hovy (CoRR, 2025)

SuperBPE: Space Travel for Language Models. - Alisa Liu; Jonathan Hayase; Valentin Hofmann; Sewoong Oh; Noah A. Smith; Yejin Choi 001 (CoRR, 2025)

BLAB: Brutally Long Audio Bench. - Orevaoghene Ahia; Martijn Bartelds; Kabir Ahuja; Hila Gonen; Valentin Hofmann; Siddhant Arora; Shuyue Stella Li; Vishal Puttagunta; Mofetoluwa Adeyemi; Charishma Buchireddy; Ben Walls; Noah Bennett; et al. (CoRR, 2025)