Efficient Text Classification with Conformal In-Context Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Pantelidis, Ippokratis, Randl, Korbinian, Henriksson, Aron |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
by: Randl, Korbinian, et al.
Published: (2024)
by: Randl, Korbinian, et al.
Published: (2024)
Evaluating the Reliability of Self-Explanations in Large Language Models
by: Randl, Korbinian, et al.
Published: (2024)
by: Randl, Korbinian, et al.
Published: (2024)
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
by: Randl, Korbinian, et al.
Published: (2024)
by: Randl, Korbinian, et al.
Published: (2024)
SemEval-2025 Task 9: The Food Hazard Detection Challenge
by: Randl, Korbinian, et al.
Published: (2025)
by: Randl, Korbinian, et al.
Published: (2025)
The Impact of Steering Large Language Models with Persona Vectors in Educational Applications
by: Wu, Yongchao, et al.
Published: (2026)
by: Wu, Yongchao, et al.
Published: (2026)
Data-Constrained Synthesis of Training Data for De-Identification
by: Vakili, Thomas, et al.
Published: (2025)
by: Vakili, Thomas, et al.
Published: (2025)
RAG-E: Quantifying Retriever-Generator Alignment and Failure Modes
by: Randl, Korbinian, et al.
Published: (2026)
by: Randl, Korbinian, et al.
Published: (2026)
Language Models for Text Classification: Is In-Context Learning Enough?
by: Edwards, Aleksandra, et al.
Published: (2024)
by: Edwards, Aleksandra, et al.
Published: (2024)
A Dual-Directional Context-Aware Test-Time Learning for Text Classification
by: Xu, Dong, et al.
Published: (2025)
by: Xu, Dong, et al.
Published: (2025)
Pipelined Decoder for Efficient Context-Aware Text Generation
by: Huang, Zixian, et al.
Published: (2025)
by: Huang, Zixian, et al.
Published: (2025)
In-Context Learning for Extreme Multi-Label Classification
by: D'Oosterlinck, Karel, et al.
Published: (2024)
by: D'Oosterlinck, Karel, et al.
Published: (2024)
Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
by: Jiang, Ye, et al.
Published: (2025)
by: Jiang, Ye, et al.
Published: (2025)
Advancing Interpretability in Text Classification through Prototype Learning
by: Wei, Bowen, et al.
Published: (2024)
by: Wei, Bowen, et al.
Published: (2024)
Label Distribution Learning-Enhanced Dual-KNN for Text Classification
by: Yuan, Bo, et al.
Published: (2025)
by: Yuan, Bo, et al.
Published: (2025)
Emotion Classification in Short English Texts using Deep Learning Techniques
by: Bhat, Siddhanth
Published: (2024)
by: Bhat, Siddhanth
Published: (2024)
Label-template based Few-Shot Text Classification with Contrastive Learning
by: Hou, Guanghua, et al.
Published: (2024)
by: Hou, Guanghua, et al.
Published: (2024)
READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled Data
by: Sharma, Rohit, et al.
Published: (2025)
by: Sharma, Rohit, et al.
Published: (2025)
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
by: Li, Yue, et al.
Published: (2025)
by: Li, Yue, et al.
Published: (2025)
Political Leaning and Politicalness Classification of Texts
by: Volf, Matous, et al.
Published: (2025)
by: Volf, Matous, et al.
Published: (2025)
Context Memorization for Efficient Long Context Generation
by: Okoshi, Yasuyuki, et al.
Published: (2026)
by: Okoshi, Yasuyuki, et al.
Published: (2026)
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
by: Schröder, Christopher, et al.
Published: (2024)
by: Schröder, Christopher, et al.
Published: (2024)
Early prediction of the risk of ICU mortality with Deep Federated Learning
by: Randl, Korbinian, et al.
Published: (2022)
by: Randl, Korbinian, et al.
Published: (2022)
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
by: Lee, Jihyung, et al.
Published: (2025)
by: Lee, Jihyung, et al.
Published: (2025)
Training Text-to-Molecule Models with Context-Aware Tokenization
by: Kim, Seojin, et al.
Published: (2025)
by: Kim, Seojin, et al.
Published: (2025)
Leveraging Context for Multimodal Fallacy Classification in Political Debates
by: Pittiglio, Alessio
Published: (2025)
by: Pittiglio, Alessio
Published: (2025)
Recurrent Context Compression: Efficiently Expanding the Context Window of LLM
by: Huang, Chensen, et al.
Published: (2024)
by: Huang, Chensen, et al.
Published: (2024)
L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification
by: Kondadadi, Rishik, et al.
Published: (2026)
by: Kondadadi, Rishik, et al.
Published: (2026)
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
by: Wang, Yuxiang, et al.
Published: (2025)
by: Wang, Yuxiang, et al.
Published: (2025)
MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
by: Li, Yichuan, et al.
Published: (2024)
by: Li, Yichuan, et al.
Published: (2024)
Token Masking Improves Transformer-Based Text Classification
by: Xu, Xianglong, et al.
Published: (2025)
by: Xu, Xianglong, et al.
Published: (2025)
Concept Based Continuous Prompts for Interpretable Text Classification
by: Chen, Qian, et al.
Published: (2024)
by: Chen, Qian, et al.
Published: (2024)
Mask-guided BERT for Few Shot Text Classification
by: Liao, Wenxiong, et al.
Published: (2023)
by: Liao, Wenxiong, et al.
Published: (2023)
Cross-lingual Text Classification Transfer: The Case of Ukrainian
by: Dementieva, Daryna, et al.
Published: (2024)
by: Dementieva, Daryna, et al.
Published: (2024)
Uncertainty Estimation for the Open-Set Text Classification systems
by: Erlygin, Leonid, et al.
Published: (2026)
by: Erlygin, Leonid, et al.
Published: (2026)
Bridging Local Details and Global Context in Text-Attributed Graphs
by: Wang, Yaoke, et al.
Published: (2024)
by: Wang, Yaoke, et al.
Published: (2024)
A Study of In-Context-Learning-Based Text-to-SQL Errors
by: Shen, Jiawei, et al.
Published: (2025)
by: Shen, Jiawei, et al.
Published: (2025)
iPhoneme: Brain-to-Text Communication for ALS Using ConformerXL Decoding
by: Cha, Yoonmin, et al.
Published: (2026)
by: Cha, Yoonmin, et al.
Published: (2026)
Multi-Label Clinical Text Eligibility Classification and Summarization System
by: Yerramsetty, Surya Tejaswi, et al.
Published: (2025)
by: Yerramsetty, Surya Tejaswi, et al.
Published: (2025)
Bengali Text Classification: An Evaluation of Large Language Model Approaches
by: Hoque, Md Mahmudul, et al.
Published: (2026)
by: Hoque, Md Mahmudul, et al.
Published: (2026)
Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding
by: Fei, Weizhi, et al.
Published: (2024)
by: Fei, Weizhi, et al.
Published: (2024)
Similar Items
-
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
by: Randl, Korbinian, et al.
Published: (2024) -
Evaluating the Reliability of Self-Explanations in Large Language Models
by: Randl, Korbinian, et al.
Published: (2024) -
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
by: Randl, Korbinian, et al.
Published: (2024) -
SemEval-2025 Task 9: The Food Hazard Detection Challenge
by: Randl, Korbinian, et al.
Published: (2025) -
The Impact of Steering Large Language Models with Persona Vectors in Educational Applications
by: Wu, Yongchao, et al.
Published: (2026)