Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios
Saved in:
| Published in: | Transactions of the Association for Computational Linguistics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios
- Preliminary Impressions on Champang Language: A Field Report with a few Grammar Notes
- Transformer-based fusion of acoustic and textual cues with proportional augmentation for emotion recognition
- On the Limitations of Language-targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning
- Can Language Models Learn Typologically Implausible Languages?
- Can Large Language Models Generalize Analogy Solving Like Children Can?
- Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide