See what llms cannot answer: A self-challenge framework for uncovering llm weaknesses
The impressive performance of Large Language Models (LLMs) has consistently surpassed
numerous human-designed benchmarks, presenting new challenges in assessing the …
numerous human-designed benchmarks, presenting new challenges in assessing the …
LawLLM: Law large language model for the US legal system
In the rapidly evolving field of legal analytics, finding relevant cases and accurately
predicting judicial outcomes are challenging because of the complexity of legal language …
predicting judicial outcomes are challenging because of the complexity of legal language …
AI-enabled Regulatory Change Analysis of Legal Requirements
Statutory law is subject to change as legislation develops over time–new regulation can be
introduced, while existing regulation can be amended, or repealed. From a requirements …
introduced, while existing regulation can be amended, or repealed. From a requirements …
It cannot be right if it was written by AI: on lawyers' preferences of documents perceived as authored by an LLM vs a human
Abstract Large Language Models (LLMs) enable a future in which certain types of legal
documents may be generated automatically. This has a great potential to streamline legal …
documents may be generated automatically. This has a great potential to streamline legal …
Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need?
Modeling legal reasoning and argumentation justifying decisions in cases has always been
central to AI & Law, yet contemporary developments in legal NLP have increasingly focused …
central to AI & Law, yet contemporary developments in legal NLP have increasingly focused …
Integrating discourse features and response assessment for advancing empathetic dialogue
Empathetic response generation is a crucial task in natural language processing, enabling
emotionally resonant machine–human interactions. In this paper, we introduce the InfRa …
emotionally resonant machine–human interactions. In this paper, we introduce the InfRa …
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
While Large Language Models (LLMs) excel in text generation and question-answering,
their effectiveness in AI legal and policy is limited by outdated knowledge, hallucinations …
their effectiveness in AI legal and policy is limited by outdated knowledge, hallucinations …
Large Language Models in Politics and Democracy: A Comprehensive Survey
G Aoki - arXiv preprint arXiv:2412.04498, 2024 - arxiv.org
The advancement of generative AI, particularly large language models (LLMs), has a
significant impact on politics and democracy, offering potential across various domains …
significant impact on politics and democracy, offering potential across various domains …
Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning
In legal practice, judges apply the trichotomous dogmatics of criminal law, sequentially
assessing the elements of the offense, unlawfulness, and culpability to determine whether …
assessing the elements of the offense, unlawfulness, and culpability to determine whether …
Incorporating precedents for legal judgement prediction on european court of human rights cases
T Santosh, MH Elganayni, S Sójka… - arXiv preprint arXiv …, 2024 - arxiv.org
Inspired by the legal doctrine of stare decisis, which leverages precedents (prior cases) for
informed decision-making, we explore methods to integrate them into LJP models. To …
informed decision-making, we explore methods to integrate them into LJP models. To …