Library

Inteligência Artificial na Advocacia e a Indevida Equiparação do Erro Técnico à Má-Fé Processual: Em Defesa das Prerrogativas do Advogado

Inteligência Artificial na Advocacia e a Indevida Equiparação do Erro Técnico à Má-Fé Processual: Em Defesa das Prerrogativas do Advogado — full text and source on file.

EducationEthics & societyHealth & medicineLaw & regulationArtificial Intelligence in LawEthics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Source

Paper

The full text of this publication is not hosted on 44B due to licensing.

Read it at OpenAlex

Similar papers

FlipGuard: Defending Preference Alignment against Update Regression with Constrained OptimizationMingye Zhu, Yi Liu, Quan Wang et al.2024 · Conference on Empirical Methods in Natural Language Processing · 2 citations In Library
Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMsQitao Tan, Xiaoying Song, Arman Akbari et al.2026 · arXiv.org · 1 citation In Library
TamperBench: A Systematic Benchmark for Fine-Tuning Attack Resistance in Safety-Aligned Open-Weight Language ModelsHamda Aden2026 · Zenodo (CERN European Organization for Nuclear Research) In Library
TamperBench: A Systematic Benchmark for Fine-Tuning Attack Resistance in Safety-Aligned Open-Weight Language ModelsHamda Aden2026 · Zenodo (CERN European Organization for Nuclear Research) In Library
Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time AlignmentK. Krishna, J. Y. Cheng, Charlie Maalouf et al.2025 · arXiv.org · 4 citations In Library
Beyond Surface Alignment: Rebuilding LLMs Safety Mechanism via Probabilistically Ablating Refusal DirectionYuanbo Xie, Yingjie Zhang, Tianyun Liu et al.2025 · arXiv (Cornell University) · 6 citations In Library
Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMsWaiman Si, Mingjie Li, Michael Backes et al.2026 · Annual Meeting of the Association for Computational Linguistics · 0 citations In Library
GR-SAP: Generative Replay for Safety Alignment Preservation during Fine-TuningZhouxiang Fang, Jiawei Zhou, Hanjie Chen2026 · arXiv.org · 0 citations In Library
FinHarmBench: Financial Jailbreak Benchmark and Unsupervised Safety Fine-Tuning via Refusal Steering DistillationYubin Choi, Yujin Yang, Subin Kim et al.2026 In Library
On the Safety of Graph Representation LearningXiaoguang Guo, Zehong Wang, Ziming Li et al.2026 · arXiv.org · 0 citations In Library
© 2026 NYSGPT2525 LLC