Princeton Natural Language Processing

Evaluation suite for the systematic evaluation of instruction selection methods.

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[NeurIPS 2023 D&B] Code repository for InterCode benchmark https://arxiv.org/abs/2306.14898

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[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning

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[EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

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Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073

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Select LM Training Data Based on Qualitative Aspects of Text

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Semantic Supervision: Enabling Generalization over Output Spaces

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[NeurIPS 2023] Learning Transformer Programs

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[ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning

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