JLab NLP

amr-clean

amr-nmt

Implementation for paper: Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers

arxiv2formal

Arxiv2formal dataset for formalized math

Future-Language-Modeling

Implementation for paper: Future Language Modeling from Temporal Document History (ICLR 2024)

nc_latent_tod

Unsupervised End-to-End Task-Oriented Dialogue with LLMs (EMNLP, 2024)

RefPyDST

RefPyDST: Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking (Findings ACL, 2023)

Retrieval-Augmented-Correction

Implementation for paper: RAC: Efficient LLM Factuality Correction with Retrieval Augmentation

transformers_parallel_prompting

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

jlab-nlp/arxiv2formal

Arxiv2formal dataset for formalized math

jlab-nlp/RefPyDST

RefPyDST: Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking (Findings ACL, 2023)

jlab-nlp/amr-nmt

Implementation for paper: Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers

jlab-nlp/Future-Language-Modeling

Implementation for paper: Future Language Modeling from Temporal Document History (ICLR 2024)

jlab-nlp/nc_latent_tod

Unsupervised End-to-End Task-Oriented Dialogue with LLMs (EMNLP, 2024)

jlab-nlp/Retrieval-Augmented-Correction

Implementation for paper: RAC: Efficient LLM Factuality Correction with Retrieval Augmentation

jlab-nlp/amr-clean

jlab-nlp/transformers_parallel_prompting

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.