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ORCIDElliott Ash
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2020 – today
- 2024
[j3]Benjamin M. Chen
, Zhiyu Li, David Cai, Elliott Ash:
Detecting the influence of the Chinese guiding cases: a text reuse approach. Artif. Intell. Law 32(2): 463-486 (2024)- [c22]Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. ACL (1) 2024: 1890-1912 - [c21]Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold:
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. ACL (1) 2024: 1913-1931 - [c20]Maria Antoniak, Joel Mire, Maarten Sap, Elliott Ash, Andrew Piper:
Where Do People Tell Stories Online? Story Detection Across Online Communities. ACL (1) 2024: 7104-7130 - [c19]Maria Lerner, Florian E. Dorner, Elliott Ash, Naman Goel:
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. ACL (1) 2024: 9403-9425 - [c18]Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland:
LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent. ACL (1) 2024: 9863-9877 - [c17]Elliott Ash, Aniket Kesari, Suresh Naidu, Lena Song, Dominik Stammbach:
Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers. CSLAW 2024: 136-157 - [i20]Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold:
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering. CoRR abs/2402.08277 (2024) - [i19]Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. CoRR abs/2402.11073 (2024) - [i18]Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel:
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. CoRR abs/2406.05902 (2024) - [i17]Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash:
Aligning Large Language Models with Diverse Political Viewpoints. CoRR abs/2406.14155 (2024) - [i16]Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. CoRR abs/2406.14162 (2024) - 2023
- [j2]Dominik Stammbach, Boya Zhang, Elliott Ash:
The Choice of Textual Knowledge Base in Automated Claim Checking. ACM J. Data Inf. Qual. 15(1): 3:1-3:22 (2023) - [c16]Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou:
Uncovering and Categorizing Social Biases in Text-to-SQL. ACL (1) 2023: 13573-13584 - [c15]Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland:
The Law and NLP: Bridging Disciplinary Disconnects. EMNLP (Findings) 2023: 3445-3454 - [c14]Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash:
Revisiting Automated Topic Model Evaluation with Large Language Models. EMNLP 2023: 9348-9357 - [c13]Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev:
Human-Guided Fair Classification for Natural Language Processing. ICLR 2023 - [c12]Emmanuel Bauer, Dominik Stammbach, Nianlong Gu, Elliott Ash:
Legal Extractive Summarization of U.S. Court Opinions. LIRAI@HT 2023: 10-30 - [c11]Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun:
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. NeurIPS 2023 - [i15]Emmanuel Bauer, Dominik Stammbach, Nianlong Gu, Elliott Ash:
Legal Extractive Summarization of U.S. Court Opinions. CoRR abs/2305.08428 (2023) - [i14]Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash:
Re-visiting Automated Topic Model Evaluation with Large Language Models. CoRR abs/2305.12152 (2023) - [i13]Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou:
Uncovering and Categorizing Social Biases in Text-to-SQL. CoRR abs/2305.16253 (2023) - [i12]Robert Mahari, Dominik Stammbach, Elliott Ash, Alex 'Sandy' Pentland:
The Law and NLP: Bridging Disciplinary Disconnects. CoRR abs/2310.14346 (2023) - [i11]Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun:
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. CoRR abs/2310.18724 (2023) - [i10]Elliott Ash, Aniket Kesari, Suresh Naidu, Lena Song, Dominik Stammbach:
Enhancing Public Understanding of Court Opinions with Automated Summarizers. CoRR abs/2311.06534 (2023) - [i9]Robert Mahari, Dominik Stammbach, Elliott Ash, Alex 'Sandy' Pentland:
LePaRD: A Large-Scale Dataset of Judges Citing Precedents. CoRR abs/2311.09356 (2023) - [i8]Maria Antoniak, Joel Mire, Maarten Sap, Elliott Ash, Andrew Piper:
Where Do People Tell Stories Online? Story Detection Across Online Communities. CoRR abs/2311.09675 (2023) - 2022
- [c10]Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser:
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes. ACL (1) 2022: 6507-6522 - [c9]Nianyun Li, Naman Goel, Elliott Ash:
Data-Centric Factors in Algorithmic Fairness. AIES 2022: 396-410 - [c8]Dominik Stammbach, Elliott Ash:
DocSCAN: Unsupervised Text Classification via Learning from Neighbors. KONVENS 2022: 21-28 - [i7]Philine Widmer, Sergio Galletta, Elliott Ash:
Media Slant is Contagious. CoRR abs/2202.07269 (2022) - [i6]Dominik Stammbach, Maria Antoniak, Elliott Ash:
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data. CoRR abs/2205.07557 (2022) - [i5]Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev:
Human-Guided Fair Classification for Natural Language Processing. CoRR abs/2212.10154 (2022) - 2021
- [c7]Elliott Ash, Malka Guillot, Luyang Han:
Machine Extraction of Tax Laws from Legislative Texts. NLLP@EMNLP 2021: 76-85 - [c6]Aditi Bhowmick, Paul Novosad, Samuel Asher, Elliott Ash, Bilal Siddiqi, Christoph Goessman, Daniel Chen, Tanaya Devi:
In-group bias in the Indian judiciary: Evidence from 5.5 million criminal cases. COMPASS 2021: 47 - [c5]Malte Ostendorff, Elliott Ash, Terry Ruas, Bela Gipp, Julián Moreno Schneider, Georg Rehm:
Evaluating document representations for content-based legal literature recommendations. ICAIL 2021: 109-118 - [i4]Malte Ostendorff, Elliott Ash, Terry Ruas, Bela Gipp, Julián Moreno Schneider, Georg Rehm:
Evaluating Document Representations for Content-based Legal Literature Recommendations. CoRR abs/2104.13841 (2021) - [i3]Dominik Stammbach, Elliott Ash:
DocSCAN: Unsupervised Text Classification via Learning from Neighbors. CoRR abs/2105.04024 (2021) - [i2]Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser:
MemSum: Extractive Summarization of Long Documents using Multi-step Episodic Markov Decision Processes. CoRR abs/2107.08929 (2021) - [i1]Dominik Stammbach, Boya Zhang, Elliott Ash:
The Choice of Knowledge Base in Automated Claim Checking. CoRR abs/2111.07795 (2021) - 2020
- [j1]Elliott Ash, Miguel Urquiola:
A research-based ranking of public policy schools. Scientometrics 125(1): 499-531 (2020) - [c4]Elliott Ash, Jeff Jacobs, Bentley MacLeod, Suresh Naidu, Dominik Stammbach:
Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements. ICDM (Workshops) 2020: 766-774 - [c3]Lazar Peric, Stefan Mijic, Dominik Stammbach, Elliott Ash:
Legal Language Modeling with Transformers. ASAIL@JURIX 2020 - [c2]Roland Friedrich, Mauro Luzzatto, Elliott Ash:
Entropy in Legal Language. NLLP@KDD 2020: 25-30 - [c1]Dominik Stammbach, Elliott Ash:
e-FEVER: Explanations and Summaries forAutomated Fact Checking. TTO 2020: 32-43
Coauthor Index
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last updated on 2024-10-17 20:28 CEST by the dblp team
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