:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mohan, G. Madan, Nambiar, Veena Kiran, Janardhan, Kiranmayee
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.04837
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas
by: Janardhan, Kiranmayee, et al.
Published: (2025)

A Systematic Review of Algorithmic Red Teaming Methodologies for Assurance and Security of AI Applications
by: Srivastava, Shruti, et al.
Published: (2026)

Subclass Classification of Gliomas Using MRI Fusion Technique
by: Janardhan, Kiranmayee, et al.
Published: (2025)

Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper
by: Janardhan, Kiranmayee, et al.
Published: (2026)

Towards a Benchmark for Large Language Models for Business Process Management Tasks
by: Busch, Kiran, et al.
Published: (2024)

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
by: Cui, Tianyu, et al.
Published: (2024)

MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
by: Jiang, Mohan, et al.
Published: (2025)

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance
by: Shao, Peizhang, et al.
Published: (2025)

A Code Comprehension Benchmark for Large Language Models for Code
by: Havare, Jayant, et al.
Published: (2025)

Glioma Classification using Multi-sequence MRI and Novel Wavelets-based Feature Fusion
by: Janardhan, Kiranmayee, et al.
Published: (2025)

Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
by: van Stein, Niki, et al.
Published: (2025)

Early Discoveries of Algorithmist I: Promise of Provable Algorithm Synthesis at Scale
by: Kulkarni, Janardhan
Published: (2026)

Code-Driven Planning in Grid Worlds with Large Language Models
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2025)

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges
by: Lee, Yunseo, et al.
Published: (2025)

Enriching Taxonomies Using Large Language Models
by: Ghamlouch, Zeinab, et al.
Published: (2025)

Where Code Meets Natural Language: Taxonomy-Driven Information Flow Analysis for LLM-Integrated Applications
by: Xu, Zihao, et al.
Published: (2026)

The Catastrophic Paradox of Human Cognitive Frameworks in Large Language Model Evaluation: A Comprehensive Empirical Analysis of the CHC-LLM Incompatibility
by: Reddy, Mohan
Published: (2025)

SproutBench: A Benchmark for Safe and Ethical Large Language Models for Youth
by: Xing, Wenpeng, et al.
Published: (2025)

DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
by: Hu, Wenhao, et al.
Published: (2025)

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
by: Huang, Yiming, et al.
Published: (2024)

Are Large Language Models a Good Replacement of Taxonomies?
by: Sun, Yushi, et al.
Published: (2024)

Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents
by: V, Arunkumar, et al.
Published: (2026)

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models
by: Fu, Lingyue, et al.
Published: (2023)

Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights
by: Chen, Wenbo, et al.
Published: (2026)

Structural Rigidity and the 57-Token Predictive Window: A Physical Framework for Inference-Layer Governability in Large Language Models
by: Ruddell, Gregory M.
Published: (2026)

FoodTaxo: Generating Food Taxonomies with Large Language Models
by: Wullschleger, Pascal, et al.
Published: (2025)

CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
by: Padwal, Vedant
Published: (2026)

A Taxonomy of Stereotype Content in Large Language Models
by: Nicolas, Gandalf, et al.
Published: (2024)

When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour
by: Ranaldi, Leonardo, et al.
Published: (2023)

Refining Wikidata Taxonomy using Large Language Models
by: Peng, Yiwen, et al.
Published: (2024)

From Code to Play: Benchmarking Program Search for Games Using Large Language Models
by: Eberhardinger, Manuel, et al.
Published: (2024)

Large Language Model-Driven Code Compliance Checking in Building Information Modeling
by: Madireddy, Soumya, et al.
Published: (2025)

VISTA: Visualization of Token Attribution via Efficient Analysis
by: Ahmed, Syed, et al.
Published: (2026)

Challenges in Testing Large Language Model Based Software: A Faceted Taxonomy
by: Dobslaw, Felix, et al.
Published: (2025)

CODEMENV: Benchmarking Large Language Models on Code Migration
by: Cheng, Keyuan, et al.
Published: (2025)

AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
by: Zhang, Tanghaoran, et al.
Published: (2026)

COMPASS: A Multi-Dimensional Benchmark for Evaluating Code Generation in Large Language Models
by: Meaden, James, et al.
Published: (2025)

How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study
by: Velasco, Alejandro, et al.
Published: (2024)

SoK: Taxonomy and Evaluation of Prompt Security in Large Language Models
by: Hong, Hanbin, et al.
Published: (2025)

Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents
by: Naser, MZ, et al.
Published: (2026)