ConvNLP: Image-based AI Text Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Jambunathan, Suriya Prakash, Shankarnarayan, Ashwath, Dube, Parijat |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Detecting AI Generated Text Based on NLP and Machine Learning Approaches
by: Prova, Nuzhat
Published: (2024)
by: Prova, Nuzhat
Published: (2024)
NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)
by: Li, Yuangang, et al.
Published: (2024)
Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)
CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models
by: Zeng, Rui, et al.
Published: (2024)
by: Zeng, Rui, et al.
Published: (2024)
A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets
by: Noguti, Mariana Yukari, et al.
Published: (2024)
by: Noguti, Mariana Yukari, et al.
Published: (2024)
Towards More Accurate Prediction of Human Empathy and Emotion in Text and Multi-turn Conversations by Combining Advanced NLP, Transformers-based Networks, and Linguistic Methodologies
by: Singh, Manisha, et al.
Published: (2024)
by: Singh, Manisha, et al.
Published: (2024)
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
by: Dey, Roopkatha, et al.
Published: (2024)
by: Dey, Roopkatha, et al.
Published: (2024)
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection
by: Jung, Minseok, et al.
Published: (2025)
by: Jung, Minseok, et al.
Published: (2025)
From Text to Graph: Leveraging Graph Neural Networks for Enhanced Explainability in NLP
by: Yáñez-Romero, Fabio, et al.
Published: (2025)
by: Yáñez-Romero, Fabio, et al.
Published: (2025)
Privacy Evaluation Benchmarks for NLP Models
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
Performance of diverse evaluation metrics in NLP-based assessment and text generation of consumer complaints
by: Gao, Peiheng, et al.
Published: (2025)
by: Gao, Peiheng, et al.
Published: (2025)
Diversity Boosts AI-Generated Text Detection
by: Basani, Advik Raj, et al.
Published: (2025)
by: Basani, Advik Raj, et al.
Published: (2025)
Can AI-Generated Text be Reliably Detected?
by: Sadasivan, Vinu Sankar, et al.
Published: (2023)
by: Sadasivan, Vinu Sankar, et al.
Published: (2023)
The NLP Task Effectiveness of Long-Range Transformers
by: Qin, Guanghui, et al.
Published: (2022)
by: Qin, Guanghui, et al.
Published: (2022)
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
by: Yu, Hongli, et al.
Published: (2025)
by: Yu, Hongli, et al.
Published: (2025)
Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
by: Abdali, Sara, et al.
Published: (2024)
by: Abdali, Sara, et al.
Published: (2024)
On Sarcasm Detection with OpenAI GPT-based Models
by: Gole, Montgomery, et al.
Published: (2023)
by: Gole, Montgomery, et al.
Published: (2023)
Robust and Fine-Grained Detection of AI Generated Texts
by: Kadiyala, Ram Mohan Rao, et al.
Published: (2025)
by: Kadiyala, Ram Mohan Rao, et al.
Published: (2025)
On Importance of Pruning and Distillation for Efficient Low Resource NLP
by: Mirashi, Aishwarya, et al.
Published: (2024)
by: Mirashi, Aishwarya, et al.
Published: (2024)
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
by: Zeng, Cong, et al.
Published: (2025)
by: Zeng, Cong, et al.
Published: (2025)
Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
by: Xiao, Feng, et al.
Published: (2025)
by: Xiao, Feng, et al.
Published: (2025)
Domain Gating Ensemble Networks for AI-Generated Text Detection
by: Tripathi, Arihant, et al.
Published: (2025)
by: Tripathi, Arihant, et al.
Published: (2025)
We Need to Talk About Classification Evaluation Metrics in NLP
by: Vickers, Peter, et al.
Published: (2024)
by: Vickers, Peter, et al.
Published: (2024)
Towards Efficient Active Learning in NLP via Pretrained Representations
by: Vysogorets, Artem, et al.
Published: (2024)
by: Vysogorets, Artem, et al.
Published: (2024)
TiME: Tiny Monolingual Encoders for Efficient NLP Pipelines
by: Schulmeister, David, et al.
Published: (2025)
by: Schulmeister, David, et al.
Published: (2025)
Boosting classification reliability of NLP transformer models in the long run
by: Kmetty, Zoltán, et al.
Published: (2023)
by: Kmetty, Zoltán, et al.
Published: (2023)
A Survey of Early Exit Deep Neural Networks in NLP
by: Bajpai, Divya Jyoti, et al.
Published: (2025)
by: Bajpai, Divya Jyoti, et al.
Published: (2025)
EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models
by: Dhaini, Mahdi, et al.
Published: (2025)
by: Dhaini, Mahdi, et al.
Published: (2025)
SIDU-TXT: An XAI Algorithm for NLP with a Holistic Assessment Approach
by: Jahromi, Mohammad N. S., et al.
Published: (2024)
by: Jahromi, Mohammad N. S., et al.
Published: (2024)
Classification of kinetic-related injury in hospital triage data using NLP
by: Shyam, Midhun, et al.
Published: (2025)
by: Shyam, Midhun, et al.
Published: (2025)
Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications
by: Djagba, Prudence, et al.
Published: (2025)
by: Djagba, Prudence, et al.
Published: (2025)
Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
by: Romberg, Julia, et al.
Published: (2025)
by: Romberg, Julia, et al.
Published: (2025)
X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation
by: Sreenivas, Sharath Turuvekere, et al.
Published: (2026)
by: Sreenivas, Sharath Turuvekere, et al.
Published: (2026)
VNLP: Turkish NLP Package
by: Turker, Meliksah, et al.
Published: (2024)
by: Turker, Meliksah, et al.
Published: (2024)
EAGLE: A Domain Generalization Framework for AI-generated Text Detection
by: Bhattacharjee, Amrita, et al.
Published: (2024)
by: Bhattacharjee, Amrita, et al.
Published: (2024)
Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks
by: Wang, Danny, et al.
Published: (2025)
by: Wang, Danny, et al.
Published: (2025)
Interpretable Predictability-Based AI Text Detection: A Replication Study
by: Skurla, Adam, et al.
Published: (2026)
by: Skurla, Adam, et al.
Published: (2026)
Detection of Machine-Generated Text: Literature Survey
by: Valiaiev, Dmytro
Published: (2024)
by: Valiaiev, Dmytro
Published: (2024)
Towards Token-Level Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)
by: Cao, Yang, et al.
Published: (2026)
A NLP Approach to "Review Bombing" in Metacritic PC Videogames User Ratings
by: Coronado-Blázquez, Javier
Published: (2024)
by: Coronado-Blázquez, Javier
Published: (2024)
Similar Items
-
Detecting AI Generated Text Based on NLP and Machine Learning Approaches
by: Prova, Nuzhat
Published: (2024) -
NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024) -
Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026) -
CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models
by: Zeng, Rui, et al.
Published: (2024) -
A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets
by: Noguti, Mariana Yukari, et al.
Published: (2024)