Princeton Natural Language Processing

Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃

princeton-nlp

[ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering

princeton-nlp

A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643

princeton-nlp

EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975

princeton-nlp

EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering

princeton-nlp

EMNLP 2022: Generating Natural Language Proofs with Verifier-Guided Search https://arxiv.org/abs/2205.12443

princeton-nlp

NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790

princeton-nlp

EMNLP 2022: Finding Dataset Shortcuts with Grammar Induction https://arxiv.org/abs/2210.11560

princeton-nlp

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

princeton-nlp

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

princeton-nlp