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@princeton-nlp

Princeton Natural Language Processing

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  1. SWE-agent SWE-agent Public

    SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.

    Python 10.3k 1k

  2. tree-of-thought-llm tree-of-thought-llm Public

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

    Python 4.2k 388

  3. LLM-Shearing LLM-Shearing Public

    [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

    Python 460 33

  4. SWE-bench SWE-bench Public

    [ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

    Python 1.2k 199

  5. SimCSE SimCSE Public

    [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

    Python 3.3k 498

  6. MeZO MeZO Public

    [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

    Python 983 52

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