/LLM-papers

LLM-papers

A repo lists papers about LLM.

  • In-Context Learning

    • [2023/05/28] Mitigating Label Biases for In-context Learning | [paper] | [code]

    • [2023/05/16] What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning | [paper] | [code]

    • [2021/02/19] Calibrate Before Use: Improving Few-Shot Performance of Language Models | [paper] | [code]

  • Instruction-Tuning

    • [2023/05/25] The False Promise of Imitating Proprietary LLMs | [paper] | [code]

    • [2023/05/18] LIMA: Less Is More for Alignment | [paper] | [code]

    • [2023/04/24] WizardLM: Empowering Large Language Models to Follow Complex Instructions | [paper] | [code]

  • Alignment

    • [2023/06/02] Fine-Grained Human Feedback Gives Better Rewards for Language Model Training | [paper] | [code]

    • [2023/05/17] SLiC-HF: Sequence Likelihood Calibration with Human Feedback | [paper] | [code]

    • [2023/04/11] RRHF: Rank Responses to Align Language Models with Human Feedback without tears | [paper] | [code]

    • [2022/03/31] BRIO: Bringing Order to Abstractive Summarization | [paper] | [code]