Text Classification

A comparative explainability framework is presented to audit DeBERTa-v3 under zero-shot classification of medical abstracts. The work addresses the disagreement problem in Explainable Artificial Intelligence, where diffe…

Natural Language Inference Text Classification

Task-Oriented Rank Adaptation for Continual Learning in Text Classification

2026-10-01 · Rey Sanchez Lopez, Eduardo Morales Manzanares, Hugo Jair Escalante arxiv

Continual learning (CL) in text classification faces two critical challenges: catastrophic forgetting and negative transfer across sequential tasks. Parameter-Efficient Fine-Tuning (PEFT) methods such as LoRA enable effi…

parameter-efficient fine-tuning Text Classification Continual Learning

Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Prediction

2026-08-27 · Jin Mu, Guanhua Chen arxiv

Clinical language models can achieve strong in-hospital accuracy yet fail under deployment shifts because they exploit note-specific artifacts (e.g., templates, separators, boilerplate) that do not reflect patient state.…

Mortality Prediction Text Classification

HelaBERT: Enhancing Sinhala Language Understanding with Dual Pooling Classification Head

2026-08-24 · Thisen Ekanayake, Nisansa de Silva arxiv

We present HelaBERT, a family of two BERT-based masked language models pre-trained from scratch on approximately 1 billion tokens of Sinhala text sourced from MADLAD-400, CulturaX, and a custom corpus comprising news art…

Text Classification Sentiment Analysis

MIL-BERT: Classification of Arbitrarily Large Text with Performance and Explanatory Guarantees

2026-08-21 · John Cadigan, Dayne Freitag, Eric Yeh arxiv

Many text classification decisions are viable based on constituent excerpts alone. Taking inspiration from the field of multiple instance learning, we present an algorithm for training a neural network to classify text b…

Multiple Instance Learning Text Classification

Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection

2026-08-20 · Atsuyuki Miyai, Kiyoharu Aizawa, Toshihiko Yamasaki arxiv

We present a novel approach to efficient LLM harness optimization through adaptive validation task selection. Harness optimization iteratively rewrites the harness code based on validation performance, enabling substanti…

Text Classification

전체 3,864편 보기 →