Copertina

A Dual-Directional Context-Aware Test-Time Learning for Text Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Dong, Liao, Mengyao, Lai, Zhenglin, Li, Xueliang, Ji, Junkai
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Efficient Text Classification with Conformal In-Context Learning
di: Pantelidis, Ippokratis, et al.
Pubblicazione: (2025)

Language Models for Text Classification: Is In-Context Learning Enough?
di: Edwards, Aleksandra, et al.
Pubblicazione: (2024)

ATLAS: Learning to Optimally Memorize the Context at Test Time
di: Behrouz, Ali, et al.
Pubblicazione: (2025)

Label Distribution Learning-Enhanced Dual-KNN for Text Classification
di: Yuan, Bo, et al.
Pubblicazione: (2025)

Timely Machine: Awareness of Time Makes Test-Time Scaling Agentic
di: Ma, Yichuan, et al.
Pubblicazione: (2026)

Pipelined Decoder for Efficient Context-Aware Text Generation
di: Huang, Zixian, et al.
Pubblicazione: (2025)

Training Text-to-Molecule Models with Context-Aware Tokenization
di: Kim, Seojin, et al.
Pubblicazione: (2025)

Test-Time Steering for Lossless Text Compression via Weighted Product of Experts
di: Zhang, Qihang, et al.
Pubblicazione: (2025)

Tool Verification for Test-Time Reinforcement Learning
di: Liao, Ruotong, et al.
Pubblicazione: (2026)

Dual Debiasing for Noisy In-Context Learning for Text Generation
di: Liang, Siqi, et al.
Pubblicazione: (2025)

CAPTURE: Context-Aware Prompt Injection Testing and Robustness Enhancement
di: Kholkar, Gauri, et al.
Pubblicazione: (2025)

MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
di: Ye, Jiexia, et al.
Pubblicazione: (2024)

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
di: He, Yufei, et al.
Pubblicazione: (2025)

In-Context Learning for Extreme Multi-Label Classification
di: D'Oosterlinck, Karel, et al.
Pubblicazione: (2024)

Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
di: Zhou, Yuxuan, et al.
Pubblicazione: (2025)

Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling
di: Xia, Fanzeng, et al.
Pubblicazione: (2025)

Mask-guided BERT for Few Shot Text Classification
di: Liao, Wenxiong, et al.
Pubblicazione: (2023)

Shortcut Learning in In-Context Learning: A Survey
di: Song, Rui, et al.
Pubblicazione: (2024)

Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
di: Jiang, Ye, et al.
Pubblicazione: (2025)

Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
di: Li, Yue, et al.
Pubblicazione: (2025)

Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages
di: Almutairi, Ali, et al.
Pubblicazione: (2025)

Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
di: Hu, Zhiyuan, et al.
Pubblicazione: (2026)

SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling
di: Liu, Dong, et al.
Pubblicazione: (2025)

Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
di: Kuzmin, Gleb, et al.
Pubblicazione: (2024)

StreamAdapter: Efficient Test Time Adaptation from Contextual Streams
di: Muhtar, Dilxat, et al.
Pubblicazione: (2024)

CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law
di: Jung, JiHyeok, et al.
Pubblicazione: (2026)

Advancing Interpretability in Text Classification through Prototype Learning
di: Wei, Bowen, et al.
Pubblicazione: (2024)

A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification
di: Feng, Yunlong, et al.
Pubblicazione: (2023)

Token Masking Improves Transformer-Based Text Classification
di: Xu, Xianglong, et al.
Pubblicazione: (2025)

TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning
di: Li, Junkai, et al.
Pubblicazione: (2026)

A Study of In-Context-Learning-Based Text-to-SQL Errors
di: Shen, Jiawei, et al.
Pubblicazione: (2025)

Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
di: Li, Guozheng, et al.
Pubblicazione: (2024)

Hallucination Diversity-Aware Active Learning for Text Summarization
di: Xia, Yu, et al.
Pubblicazione: (2024)

Specification Self-Correction: Mitigating In-Context Reward Hacking Through Test-Time Refinement
di: Gallego, Víctor
Pubblicazione: (2025)

EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving
di: Li, Mukai, et al.
Pubblicazione: (2025)

Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models
di: Wu, Jingxuan, et al.
Pubblicazione: (2026)

Concept Based Continuous Prompts for Interpretable Text Classification
di: Chen, Qian, et al.
Pubblicazione: (2024)

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
di: Wang, Yuxiang, et al.
Pubblicazione: (2025)

Emotion Classification in Short English Texts using Deep Learning Techniques
di: Bhat, Siddhanth
Pubblicazione: (2024)

Label-template based Few-Shot Text Classification with Contrastive Learning
di: Hou, Guanghua, et al.
Pubblicazione: (2024)