lawinstruct

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joelniklaus

authored 5 papers 3 months ago

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

Paper • 2411.19799 • Published Nov 29, 2024 • 14

LEXam: Benchmarking Legal Reasoning on 340 Law Exams

Paper • 2505.12864 • Published May 19 • 3

Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization

Paper • 2508.04796 • Published Aug 6

From Citations to Criticality: Predicting Legal Decision Influence in the Multilingual Swiss Jurisprudence

Paper • 2410.13460 • Published Oct 17, 2024

Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland

Paper • 2410.13456 • Published Oct 17, 2024

breakend

authored 15 papers 4 months ago

On the Opportunities and Risks of Foundation Models

Paper • 2108.07258 • Published Aug 16, 2021 • 1

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications

Paper • 2402.05162 • Published Feb 7, 2024 • 1

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Paper • 2308.11462 • Published Aug 20, 2023 • 3

FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning

Paper • 2404.02127 • Published Apr 2, 2024

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Paper • 2211.05100 • Published Nov 9, 2022 • 34

Holistic Evaluation of Language Models

Paper • 2211.09110 • Published Nov 16, 2022 • 1

Safety Alignment Should Be Made More Than Just a Few Tokens Deep

Paper • 2406.05946 • Published Jun 10, 2024

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources

Paper • 2406.16746 • Published Jun 24, 2024

Fantastic Copyrighted Beasts and How (Not) to Generate Them

Paper • 2406.14526 • Published Jun 20, 2024 • 1

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors

Paper • 2406.14598 • Published Jun 20, 2024

Evaluating Copyright Takedown Methods for Language Models

Paper • 2406.18664 • Published Jun 26, 2024 • 1

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI

Paper • 2503.16861 • Published Mar 21 • 1

General Scales Unlock AI Evaluation with Explanatory and Predictive Power

Paper • 2503.06378 • Published Mar 9 • 1

On Evaluating the Durability of Safeguards for Open-Weight LLMs

Paper • 2412.07097 • Published Dec 10, 2024 • 1

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Paper • 2506.11928 • Published Jun 13 • 23