Ritvik Garimella

Orcid: 0009-0004-7472-4690

According to our database1, Ritvik Garimella authored at least 14 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement.
CoRR, May, 2026

Findings of the Counter Turing Test: AI-Generated Image Detection.
CoRR, May, 2026

Findings of the Counter Turing Test: AI-Generated Text Detection.
CoRR, May, 2026

A Comprehensive Dataset for Human vs. AI Generated Image Detection.
CoRR, January, 2026

Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

DETONATE - A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

In-Situ Eval: A Modular Framework for Custom and Real-Time RAG Benchmarking.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Comprehensive Dataset for Human vs. AI Generated Text Detection.
CoRR, October, 2025

DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization.
CoRR, June, 2025

NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews.
CoRR, March, 2025

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments - The Depression and Anxiety Case.
CoRR, January, 2025

Building Multimodal Knowledge Graphs: Automation for Enterprise Integration.
IEEE Internet Comput., 2025

2023
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering.
CoRR, 2023

FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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