AI for Statutory Simplification
Collection
Query dataset and associated corpus for "AI for Statutory Simplification: A Comprehensive State Legal Corpus and Labor Benchmark," ICAIL 2025.
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2 items
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Updated
Stanford Regulation, Evaluation, and Governance Lab
university
AI & ML interests
None defined yet.
Recent Activity
reglab's activity
ehariri
updated
a
collection
7 days ago
ehariri
updated
a
dataset
7 days ago
ehariri
published
a
dataset
7 days ago
ehariri
updated
a
dataset
7 days ago
ehariri
published
a
dataset
7 days ago
mvaruni
updated
a
dataset
10 days ago
nrothbacher
published
a
dataset
27 days ago
nguha
updated
2
datasets
about 2 months ago
zlucia
published
2
datasets
3 months ago
turingmachine
authored
3
papers
about 1 year ago
A Benchmark for Learning to Translate a New Language from One Grammar Book
Paper
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2309.16575
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Published
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1
Do Language Models Know When They're Hallucinating References?
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2305.18248
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Published
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
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2401.01301
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Published
matthewdahl
authored
a
paper
about 1 year ago
turingmachine
authored
4
papers
over 1 year ago
Scaling Instruction-Finetuned Language Models
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2210.11416
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Published
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7
Holistic Evaluation of Language Models
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2211.09110
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Published
Language Models are Multilingual Chain-of-Thought Reasoners
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2210.03057
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Published
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
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2210.09261
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Published
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1