Instructions to use infosense/yield-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use infosense/yield-adapters with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -29,11 +29,12 @@ All adapters in this repository are LoRA adapters trained on top of the `Llama-3
|
|
| 29 |
If you use this resource in your projects, please cite the following paper:
|
| 30 |
|
| 31 |
```bibtex
|
| 32 |
-
@
|
| 33 |
author = {De Lima, Victor and Yang, Grace Hui},
|
| 34 |
-
|
|
|
|
| 35 |
title = {{YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents}},
|
| 36 |
-
url = {https://
|
| 37 |
year = {2026}
|
| 38 |
}
|
| 39 |
```
|
|
|
|
| 29 |
If you use this resource in your projects, please cite the following paper:
|
| 30 |
|
| 31 |
```bibtex
|
| 32 |
+
@inproceedings{De_Lima_YIELD_A_Large-Scale_2026,
|
| 33 |
author = {De Lima, Victor and Yang, Grace Hui},
|
| 34 |
+
booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)},
|
| 35 |
+
doi = {10.18653/v1/2026.acl-long.678},
|
| 36 |
title = {{YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents}},
|
| 37 |
+
url = {https://aclanthology.org/2026.acl-long.678/},
|
| 38 |
year = {2026}
|
| 39 |
}
|
| 40 |
```
|