Saved in:
| Main Authors: | Luo, Danqing, Zhang, Chen, Zhang, Yan, Li, Haizhou |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.12468 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models
by: Chen, Yiming, et al.
Published: (2024)
by: Chen, Yiming, et al.
Published: (2024)
Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification
by: Park, Gyutae, et al.
Published: (2024)
by: Park, Gyutae, et al.
Published: (2024)
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
by: Li, Chuang, et al.
Published: (2023)
by: Li, Chuang, et al.
Published: (2023)
Label-template based Few-Shot Text Classification with Contrastive Learning
by: Hou, Guanghua, et al.
Published: (2024)
by: Hou, Guanghua, et al.
Published: (2024)
Multi-Level Correlation Network For Few-Shot Image Classification
by: Dang, Yunkai, et al.
Published: (2024)
by: Dang, Yunkai, 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)
Knowledge Distillation of Black-Box Large Language Models
by: Chen, Hongzhan, et al.
Published: (2024)
by: Chen, Hongzhan, et al.
Published: (2024)
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification
by: Wang, Ziqing, et al.
Published: (2026)
by: Wang, Ziqing, et al.
Published: (2026)
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
by: Zhang, Haojie, et al.
Published: (2024)
by: Zhang, Haojie, et al.
Published: (2024)
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
by: Duan, Yifei, et al.
Published: (2024)
by: Duan, Yifei, et al.
Published: (2024)
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
by: Liu, Han, et al.
Published: (2024)
by: Liu, Han, et al.
Published: (2024)
Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning
by: Azadi, AmirMohammad, et al.
Published: (2024)
by: Azadi, AmirMohammad, et al.
Published: (2024)
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning
by: Xie, Kaige, et al.
Published: (2023)
by: Xie, Kaige, et al.
Published: (2023)
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking
by: Yan, Yan, et al.
Published: (2025)
by: Yan, Yan, et al.
Published: (2025)
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning
by: Zhang, Mingtian, et al.
Published: (2024)
by: Zhang, Mingtian, et al.
Published: (2024)
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models
by: Wu, Jiaqi, et al.
Published: (2024)
by: Wu, Jiaqi, et al.
Published: (2024)
In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification
by: Liu, Ming
Published: (2026)
by: Liu, Ming
Published: (2026)
Active Few-Shot Learning for Text Classification
by: Ahmadnia, Saeed, et al.
Published: (2025)
by: Ahmadnia, Saeed, et al.
Published: (2025)
Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language
by: Hadeliya, Tsimur, et al.
Published: (2024)
by: Hadeliya, Tsimur, et al.
Published: (2024)
Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
by: Ren, Zhe
Published: (2025)
by: Ren, Zhe
Published: (2025)
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition
by: Golde, Jonas, et al.
Published: (2024)
by: Golde, Jonas, et al.
Published: (2024)
A Survey of Calibration Process for Black-Box LLMs
by: Xie, Liangru, et al.
Published: (2024)
by: Xie, Liangru, et al.
Published: (2024)
DS$^2$-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis
by: Xu, Hongling, et al.
Published: (2024)
by: Xu, Hongling, et al.
Published: (2024)
Structured Prompt Optimization for Few-Shot Text Classification via Semantic Alignment in Latent Space
by: Zheng, Jiasen, et al.
Published: (2026)
by: Zheng, Jiasen, et al.
Published: (2026)
Making Text Embedders Few-Shot Learners
by: Li, Chaofan, et al.
Published: (2024)
by: Li, Chaofan, et al.
Published: (2024)
Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification
by: Chen, Huiyao, et al.
Published: (2024)
by: Chen, Huiyao, et al.
Published: (2024)
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification
by: Alsuhaibani, Abdullah, et al.
Published: (2024)
by: Alsuhaibani, Abdullah, et al.
Published: (2024)
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification
by: Chhikara, Garima, et al.
Published: (2024)
by: Chhikara, Garima, et al.
Published: (2024)
Effectiveness of Pre-training for Few-shot Intent Classification
by: Zhang, Haode, et al.
Published: (2021)
by: Zhang, Haode, et al.
Published: (2021)
In-Context Learning for Few-Shot Nested Named Entity Recognition
by: Zhang, Meishan, et al.
Published: (2024)
by: Zhang, Meishan, et al.
Published: (2024)
Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs
by: Basem, Mohamed, et al.
Published: (2025)
by: Basem, Mohamed, et al.
Published: (2025)
Few-Shot Query Intent Detection via Relation-Aware Prompt Learning
by: Zhang, Liang, et al.
Published: (2025)
by: Zhang, Liang, et al.
Published: (2025)
Language Model Representations for Efficient Few-Shot Tabular Classification
by: Kang, Inwon, et al.
Published: (2026)
by: Kang, Inwon, et al.
Published: (2026)
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
by: Li, Pengyi, et al.
Published: (2025)
by: Li, Pengyi, et al.
Published: (2025)
Manual Verbalizer Enrichment for Few-Shot Text Classification
by: Nguyen, Quang Anh, et al.
Published: (2024)
by: Nguyen, Quang Anh, et al.
Published: (2024)
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)
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
by: Zhang, Jiaxin, et al.
Published: (2023)
by: Zhang, Jiaxin, et al.
Published: (2023)
Tuning Into Bias: A Computational Study of Gender Bias in Song Lyrics
by: Chen, Danqing, et al.
Published: (2024)
by: Chen, Danqing, et al.
Published: (2024)
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models
by: Pan, Jiabao, et al.
Published: (2024)
by: Pan, Jiabao, et al.
Published: (2024)
Similar Items
-
Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models
by: Chen, Yiming, et al.
Published: (2024) -
Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification
by: Park, Gyutae, et al.
Published: (2024) -
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
by: Li, Chuang, et al.
Published: (2023) -
Label-template based Few-Shot Text Classification with Contrastive Learning
by: Hou, Guanghua, et al.
Published: (2024) -
Multi-Level Correlation Network For Few-Shot Image Classification
by: Dang, Yunkai, et al.
Published: (2024)