Saved in:
| Main Authors: | Shyam, Midhun, Basilakis, Jim, Luken, Kieran, Thomas, Steven, Crozier, John, Middleton, Paul M., Wang, X. Rosalind |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.04969 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition
by: Win, Nwe Ni, et al.
Published: (2026)
by: Win, Nwe Ni, et al.
Published: (2026)
We Need to Talk About Classification Evaluation Metrics in NLP
by: Vickers, Peter, et al.
Published: (2024)
by: Vickers, Peter, et al.
Published: (2024)
NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)
by: Li, Yuangang, et al.
Published: (2024)
Classification of User Reports for Detection of Faulty Computer Components using NLP Models: A Case Study
by: Silva, Maria de Lourdes M., et al.
Published: (2025)
by: Silva, Maria de Lourdes M., et al.
Published: (2025)
Actively evaluating and learning the distinctions that matter: Vaccine safety signal detection from emergency triage notes
by: Khademi, Sedigh, et al.
Published: (2025)
by: Khademi, Sedigh, et al.
Published: (2025)
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)
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
by: Özeren, Enes, et al.
Published: (2025)
by: Özeren, Enes, et al.
Published: (2025)
Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models
by: Ortega, Fernando, et al.
Published: (2026)
by: Ortega, Fernando, et al.
Published: (2026)
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)
Lightweight Safety Classification Using Pruned Language Models
by: Sawtell, Mason, et al.
Published: (2024)
by: Sawtell, Mason, et al.
Published: (2024)
A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis
by: Trieu, Quoc Lap, et al.
Published: (2026)
by: Trieu, Quoc Lap, et al.
Published: (2026)
Privacy Evaluation Benchmarks for NLP Models
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
Probabilistic unifying relations for modelling epistemic and aleatoric uncertainty: semantics and automated reasoning with theorem proving
by: Ye, Kangfeng, et al.
Published: (2023)
by: Ye, Kangfeng, et al.
Published: (2023)
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)
The NLP Task Effectiveness of Long-Range Transformers
by: Qin, Guanghui, et al.
Published: (2022)
by: Qin, Guanghui, et al.
Published: (2022)
VNLP: Turkish NLP Package
by: Turker, Meliksah, et al.
Published: (2024)
by: Turker, Meliksah, et al.
Published: (2024)
Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP
by: Remy, François, et al.
Published: (2024)
by: Remy, François, et al.
Published: (2024)
A Survey on Universal Approximation Theorems
by: Augustine, Midhun T
Published: (2024)
by: Augustine, Midhun T
Published: (2024)
ConvNLP: Image-based AI Text Detection
by: Jambunathan, Suriya Prakash, et al.
Published: (2024)
by: Jambunathan, Suriya Prakash, et al.
Published: (2024)
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)
Self-Supervised Learning of Iterative Solvers for Constrained Optimization
by: Lüken, Lukas, et al.
Published: (2024)
by: Lüken, Lukas, 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)
Towards Efficient Active Learning in NLP via Pretrained Representations
by: Vysogorets, Artem, et al.
Published: (2024)
by: Vysogorets, Artem, et al.
Published: (2024)
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)
A New Quantum CNN Model for Image Classification
by: Zhao, X. Q., et al.
Published: (2022)
by: Zhao, X. Q., et al.
Published: (2022)
Indian Legal NLP Benchmarks : A Survey
by: Kalamkar, Prathamesh, et al.
Published: (2021)
by: Kalamkar, Prathamesh, et al.
Published: (2021)
Detecting AI Generated Text Based on NLP and Machine Learning Approaches
by: Prova, Nuzhat
Published: (2024)
by: Prova, Nuzhat
Published: (2024)
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)
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)
by: Mancera, Gonzalo, et al.
Published: (2025)
by: Mancera, Gonzalo, et al.
Published: (2025)
Named Entity Recognition for Payment Data Using NLP
by: Nayak, Srikumar
Published: (2026)
by: Nayak, Srikumar
Published: (2026)
HOP to the Next Tasks and Domains for Continual Learning in NLP
by: Michieli, Umberto, et al.
Published: (2024)
by: Michieli, Umberto, et al.
Published: (2024)
NLP Case Study on Predicting the Before and After of the Ukraine-Russia and Hamas-Israel Conflicts
by: Miner, Jordan, et al.
Published: (2024)
by: Miner, Jordan, et al.
Published: (2024)
NLP Verification: Towards a General Methodology for Certifying Robustness
by: Casadio, Marco, et al.
Published: (2024)
by: Casadio, Marco, et al.
Published: (2024)
A NLP Approach to "Review Bombing" in Metacritic PC Videogames User Ratings
by: Coronado-Blázquez, Javier
Published: (2024)
by: Coronado-Blázquez, Javier
Published: (2024)
Initial Investigation of LLM-Assisted Development of Rule-Based Clinical NLP System
by: Shi, Jianlin, et al.
Published: (2025)
by: Shi, Jianlin, et al.
Published: (2025)
Machine Learning-based NLP for Emotion Classification on a Cholera X Dataset
by: Jideani, Paul, et al.
Published: (2024)
by: Jideani, Paul, et al.
Published: (2024)
Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature
by: Cruz, Walter Hernandez, et al.
Published: (2023)
by: Cruz, Walter Hernandez, et al.
Published: (2023)
CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models
by: Zeng, Rui, et al.
Published: (2024)
by: Zeng, Rui, et al.
Published: (2024)
Similar Items
-
Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition
by: Win, Nwe Ni, et al.
Published: (2026) -
We Need to Talk About Classification Evaluation Metrics in NLP
by: Vickers, Peter, et al.
Published: (2024) -
NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024) -
Classification of User Reports for Detection of Faulty Computer Components using NLP Models: A Case Study
by: Silva, Maria de Lourdes M., et al.
Published: (2025) -
Actively evaluating and learning the distinctions that matter: Vaccine safety signal detection from emergency triage notes
by: Khademi, Sedigh, et al.
Published: (2025)