Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements. - Elliott Ash; Jeff Jacobs; Bentley MacLeod; Suresh Naidu; Dominik Stammbach (ICDM (Workshops), 2020)

Legal Language Modeling with Transformers. - Lazar Peric; Stefan Mijic; Dominik Stammbach; Elliott Ash (ASAIL@JURIX, 2020)

Entropy in Legal Language. - Roland Friedrich; Mauro Luzzatto; Elliott Ash (NLLP@KDD, 2020)

e-FEVER: Explanations and Summaries forAutomated Fact Checking. - Dominik Stammbach; Elliott Ash (TTO, 2020)

A research-based ranking of public policy schools. - Elliott Ash; Miguel Urquiola (Scientometrics, 2020)

Machine Extraction of Tax Laws from Legislative Texts. - Elliott Ash; Malka Guillot; Luyang Han (NLLP@EMNLP, 2021)

In-group bias in the Indian judiciary: Evidence from 5.5 million criminal cases. - Aditi Bhowmick; Paul Novosad; Samuel Asher; Elliott Ash; Bilal Siddiqi; Christoph Goessman; Daniel Chen; Tanaya Devi (COMPASS, 2021)

Evaluating document representations for content-based legal literature recommendations. - Malte Ostendorff; Elliott Ash; Terry Ruas; Bela Gipp; Julián Moreno Schneider; Georg Rehm (ICAIL, 2021)

The Choice of Knowledge Base in Automated Claim Checking. - Dominik Stammbach; Boya Zhang; Elliott Ash (CoRR, 2021)

MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes. - Nianlong Gu; Elliott Ash; Richard H. R. Hahnloser (ACL (1), 2022)

Data-Centric Factors in Algorithmic Fairness. - Nianyun Li; Naman Goel; Elliott Ash (AIES, 2022)

DocSCAN: Unsupervised Text Classification via Learning from Neighbors. - Dominik Stammbach; Elliott Ash (KONVENS, 2022)

Media Slant is Contagious. - Philine Widmer; Sergio Galletta; Elliott Ash (CoRR, 2022)

Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data. - Dominik Stammbach; Maria Antoniak; Elliott Ash (CoRR, 2022)

Uncovering and Categorizing Social Biases in Text-to-SQL. - Yan Liu 002; Yan Gao 002; Zhe Su; Xiaokang Chen; Elliott Ash; Jian-Guang Lou (ACL (1), 2023)

The Law and NLP: Bridging Disciplinary Disconnects. - Robert Mahari; Dominik Stammbach; Elliott Ash; Alex Pentland (EMNLP (Findings), 2023)

Revisiting Automated Topic Model Evaluation with Large Language Models. - Dominik Stammbach; Vilém Zouhar; Alexander Miserlis Hoyle; Mrinmaya Sachan; Elliott Ash (EMNLP, 2023)

Human-Guided Fair Classification for Natural Language Processing. - Florian E. Dorner; Momchil Peychev; Nikola Konstantinov; Naman Goel; Elliott Ash; Martin T. Vechev (ICLR, 2023)

Legal Extractive Summarization of U.S. Court Opinions. - Emmanuel Bauer; Dominik Stammbach; Nianlong Gu; Elliott Ash (LIRAI@HT, 2023)

WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. - Elliott Ash; Naman Goel; Nianyun Li; Claudia Marangon; Peiyao Sun (NeurIPS, 2023)

Re-visiting Automated Topic Model Evaluation with Large Language Models. - Dominik Stammbach; Vilém Zouhar; Alexander Miserlis Hoyle; Mrinmaya Sachan; Elliott Ash (CoRR, 2023)

Enhancing Public Understanding of Court Opinions with Automated Summarizers. - Elliott Ash; Aniket Kesari; Suresh Naidu; Lena Song; Dominik Stammbach (CoRR, 2023)

LePaRD: A Large-Scale Dataset of Judges Citing Precedents. - Robert Mahari; Dominik Stammbach; Elliott Ash; Alex 'Sandy' Pentland (CoRR, 2023)

The Choice of Textual Knowledge Base in Automated Claim Checking. - Dominik Stammbach; Boya Zhang; Elliott Ash (ACM J. Data Inf. Qual., 2023)

Where Do People Tell Stories Online? Story Detection Across Online Communities. - Maria Antoniak; Joel Mire; Maarten Sap; Elliott Ash; Andrew Piper (ACL (1), 2024)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. - Maria Lerner; Florian E. Dorner; Elliott Ash; Naman Goel (ACL (1), 2024)

LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent. - Robert Mahari; Dominik Stammbach; Elliott Ash; Alex Pentland (ACL (1), 2024)

AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. - Jingwei Ni; Minjing Shi; Dominik Stammbach; Mrinmaya Sachan; Elliott Ash; Markus Leippold (ACL (1), 2024)

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. - Tobias Schimanski; Jingwei Ni; Mathias Kraus; Elliott Ash; Markus Leippold (ACL (1), 2024)

Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers. - Elliott Ash; Aniket Kesari; Suresh Naidu; Lena Song; Dominik Stammbach (CSLAW, 2024)

The Empirical Variability of Narrative Perceptions of Social Media Texts. - Joel Mire; Maria Antoniak; Elliott Ash; Andrew Piper; Maarten Sap (EMNLP, 2024)

Aligning Large Language Models with Diverse Political Viewpoints. - Dominik Stammbach; Philine Widmer; Eunjung Cho; Caglar Gulcehre; Elliott Ash (EMNLP, 2024)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. - Emilia Agis Lerner; Florian E. Dorner; Elliott Ash; Naman Goel (CoRR, 2024)

DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. - Jingwei Ni; Tobias Schimanski; Meihong Lin; Mrinmaya Sachan; Elliott Ash; Markus Leippold (CoRR, 2024)

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions. - Emily Robitschek; Asal Bastani; Kathryn Horwath; Savyon Sordean; Mark J. Pletcher; Jennifer C. Lai; Sergio Galletta; Elliott Ash; Jin Ge; Irene Y. Chen (CoRR, 2024)

Detecting the influence of the Chinese guiding cases: a text reuse approach. - Benjamin M. Chen; Zhiyu Li; David Cai; Elliott Ash (Artif. Intell. Law, 2024)

Variational Best-of-N Alignment. - Afra Amini; Tim Vieira; Elliott Ash; Ryan Cotterell (ICLR, 2025)

DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation. - Jingwei Ni; Tobias Schimanski; Meihong Lin; Mrinmaya Sachan; Elliott Ash; Markus Leippold (NAACL (Long Papers), 2025)

Navigating the Helpfulness-Truthfulness Trade-Off with Uncertainty-Aware Instruction Fine-Tuning. - Tianyi Wu; Jingwei Ni; Bryan Hooi; Jiaheng Zhang; Elliott Ash; See-Kiong Ng; Mrinmaya Sachan; Markus Leippold (CoRR, 2025)

LEXam: Benchmarking Legal Reasoning on 340 Law Exams. - Yu Fan; Jingwei Ni; Jakob Merane; Etienne Salimbeni; Yang Tian; Yoan Hermstrüwer; Yinya Huang; Mubashara Akhtar; Florian Geering; Oliver Dreyer; Daniel Brunner; Markus Leippold; et al. (CoRR, 2025)

Can Large Language Models Capture Human Annotator Disagreements? - Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Alexander Miserlis Hoyle; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Elliott Ash (CoRR, 2025)

The Medium Is Not the Message: Deconfounding Text Embeddings via Linear Concept Erasure. - Yu Fan; Yang Tian; Shauli Ravfogel; Mrinmaya Sachan; Elliott Ash; Alexander Miserlis Hoyle (CoRR, 2025)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. - Chenfei Xiong; Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Zhijing Jin 001; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Mennatallah El-Assady; et al. (CoRR, 2025)

DialogueForge: LLM Simulation of Human-Chatbot Dialogue. - Ruizhe Zhu; Hao Zhu; Yaxuan Li; Syang Zhou; Shijing Cai; Malgorzata Lazuka; Elliott Ash (CoRR, 2025)