:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Maurya, Anuraj
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2509.00141
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shape Invariant 3D-Variational Autoencoder: Super Resolution in Turbulence flow
by: Maurya, Anuraj
Published: (2025)

Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases
by: AlDahoul, Nouar, et al.
Published: (2025)

Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment
by: Sargeant, Holli, et al.
Published: (2024)

Scaling Laws For Scalable Oversight
by: Engels, Joshua, et al.
Published: (2025)

Generative AI Training and Copyright Law
by: Stober, Sebastian, et al.
Published: (2025)

On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
by: Binkyte, Ruta, et al.
Published: (2022)

Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
by: Masoudian, Shahed, et al.
Published: (2024)

Legal Aspects for Software Developers Interested in Generative AI Applications
by: Herbold, Steffen, et al.
Published: (2024)

Transparent AI: The Case for Interpretability and Explainability
by: Ramachandram, Dhanesh, et al.
Published: (2025)

Scaling Laws Do Not Scale
by: Diaz, Fernando, et al.
Published: (2023)

Case Studies of AI Policy Development in Africa
by: Diallo, Kadijatou, et al.
Published: (2024)

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI
by: Yang, Chao, et al.
Published: (2024)

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
by: Raj, Aman, et al.
Published: (2025)

The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity
by: Ganesh, Prakhar, et al.
Published: (2024)

AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
by: VatandoustMohammadieh, Mrzieh, et al.
Published: (2024)

The Case for ESM3 as a General-Purpose AI Model with Systemic Risk Under the EU AI Act
by: Qureshi, Taro, et al.
Published: (2026)

Biothreat Benchmark Generation Framework for Evaluating Frontier AI Models I: The Task-Query Architecture
by: Ackerman, Gary, et al.
Published: (2025)

Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data
by: Nolte, Henrik, et al.
Published: (2025)

The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
by: Ren, Richard, et al.
Published: (2025)

Rethinking AI Evaluation in Education: The TEACH-AI Framework and Benchmark for Generative AI Assistants
by: Ding, Shi, et al.
Published: (2025)

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
by: Ren, Richard, et al.
Published: (2024)

ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
by: Heakl, Ahmed, et al.
Published: (2024)

Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning
by: Weerts, Hilde, et al.
Published: (2022)

Biothreat Benchmark Generation Framework for Evaluating Frontier AI Models II: Benchmark Generation Process
by: Ackerman, Gary, et al.
Published: (2025)

Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law
by: Franceschelli, Giorgio, et al.
Published: (2024)

M-CARE: Standardized Clinical Case Reporting for AI Model Behavioral Disorders, with a 20-Case Atlas and Experimental Validation
by: Jeong, Jihoon
Published: (2026)

No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Texts
by: Fama, Israel, et al.
Published: (2024)

Deprecating Benchmarks: Criteria and Framework
by: Joaquin, Ayrton San, et al.
Published: (2025)

CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
by: Jiang, Lei, et al.
Published: (2025)

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
by: Guldimann, Philipp, et al.
Published: (2024)

Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
by: Era, Jalisha Jashim, et al.
Published: (2025)

Thousands of AI Authors on the Future of AI
by: Grace, Katja, et al.
Published: (2024)

CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions
by: Heddaya, Mourad, et al.
Published: (2024)

Biothreat Benchmark Generation Framework for Evaluating Frontier AI Models III: Implementing the Bacterial Biothreat Benchmark (B3) Dataset
by: Ackerman, Gary, et al.
Published: (2025)

Statutory Construction and Interpretation for Artificial Intelligence
by: He, Luxi, et al.
Published: (2025)

Balancing Fairness and Accuracy in Data-Restricted Binary Classification
by: Lazri, Zachary McBride, et al.
Published: (2024)

Ordinal Behavior Classification of Student Online Course Interactions
by: Trask, Thomas
Published: (2024)

Transformers in Healthcare: A Survey
by: Nerella, Subhash, et al.
Published: (2023)

Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context
by: Nguyen, An Thi, et al.
Published: (2025)

Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions
by: Raman, Naveen, et al.
Published: (2026)