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    "description": "从超网络、LoRA 和指令压缩读到 Program-as-Weights：如何把自然语言说明变成可保存、可复用的本地神经程序。"
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      "summary_zh": "学习由共享循环解释器执行的神经程序，并把程序表示存入程序记忆。"
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      "summary_zh": "用一个神经网络生成另一个神经网络的权重。"
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      "title": "Prefix-Tuning: Optimizing Continuous Prompts for Generation",
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      "summary_zh": "训练一段连续前缀向量，让冻结的语言模型适应目标任务。"
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      "title": "Learning to Generate Task-Specific Adapters from Task Description",
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      "csl_url": "https://programasweights.com/reading-list/papers/2101.00420/citation.csl.json",
      "summary_zh": "提出 Hypter，根据自然语言任务描述生成适配器，并检验对未见任务的泛化。"
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      "summary_zh": "冻结预训练模型的原始权重，训练低秩权重更新来适应任务。"
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      "title": "HyperTuning: Toward Adapting Large Language Models without Back-propagation",
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      "csl_url": "https://programasweights.com/reading-list/papers/2211.12485/citation.csl.json",
      "summary_zh": "根据几个任务示例，为冻结的语言模型生成前缀或 LoRA 参数。"
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      "title": "HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation",
      "record_url": "https://programasweights.com/reading-list/papers/2212.10315/",
      "json_url": "https://programasweights.com/reading-list/papers/2212.10315/record.json",
      "markdown_url": "https://programasweights.com/reading-list/papers/2212.10315/index.md",
      "bibtex_url": "https://programasweights.com/reading-list/papers/2212.10315/citation.bib",
      "csl_url": "https://programasweights.com/reading-list/papers/2212.10315/citation.csl.json",
      "summary_zh": "把指令和示例转化为前缀、适配器及编码后的指令表示，供多次调用复用。"
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      "title": "Learning to Compress Prompts with Gist Tokens",
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      "summary_zh": "将一段指令压缩为几个可复用的 gist token 激活值。"
    },
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      "title": "The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators",
      "record_url": "https://programasweights.com/reading-list/papers/2407.11004/",
      "json_url": "https://programasweights.com/reading-list/papers/2407.11004/record.json",
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      "summary_zh": "让语言模型编写可保存、可本地执行的标注程序，并用弱监督组合多个程序的输出。"
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      "title": "Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass",
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      "json_url": "https://programasweights.com/reading-list/papers/2411.05877/record.json",
      "markdown_url": "https://programasweights.com/reading-list/papers/2411.05877/index.md",
      "bibtex_url": "https://programasweights.com/reading-list/papers/2411.05877/citation.bib",
      "csl_url": "https://programasweights.com/reading-list/papers/2411.05877/citation.csl.json",
      "summary_zh": "通过一次前向传播，将新上下文转化为低秩参数更新。"
    },
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      "title": "Text-to-LoRA: Instant Transformer Adaption",
      "record_url": "https://programasweights.com/reading-list/papers/2506.06105/",
      "json_url": "https://programasweights.com/reading-list/papers/2506.06105/record.json",
      "markdown_url": "https://programasweights.com/reading-list/papers/2506.06105/index.md",
      "bibtex_url": "https://programasweights.com/reading-list/papers/2506.06105/citation.bib",
      "csl_url": "https://programasweights.com/reading-list/papers/2506.06105/citation.csl.json",
      "summary_zh": "用超网络根据任务描述生成 LoRA 适配器，研究适配器压缩和未见任务的适配。"
    },
    {
      "id": "2606.06492",
      "title": "Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution",
      "record_url": "https://programasweights.com/reading-list/papers/2606.06492/",
      "json_url": "https://programasweights.com/reading-list/papers/2606.06492/record.json",
      "markdown_url": "https://programasweights.com/reading-list/papers/2606.06492/index.md",
      "bibtex_url": "https://programasweights.com/reading-list/papers/2606.06492/citation.bib",
      "csl_url": "https://programasweights.com/reading-list/papers/2606.06492/citation.csl.json",
      "summary_zh": "训练超网络，根据代码仓库生成 LoRA 适配器，并随新的提交更新适配器。"
    },
    {
      "id": "2607.02512",
      "title": "Program-as-Weights: A Programming Paradigm for Fuzzy Functions",
      "record_url": "https://programasweights.com/reading-list/papers/2607.02512/",
      "json_url": "https://programasweights.com/reading-list/papers/2607.02512/record.json",
      "markdown_url": "https://programasweights.com/reading-list/papers/2607.02512/index.md",
      "bibtex_url": "https://programasweights.com/reading-list/papers/2607.02512/citation.bib",
      "csl_url": "https://programasweights.com/reading-list/papers/2607.02512/citation.csl.json",
      "summary_zh": "提出模糊函数编程：将自然语言函数说明编译成神经程序，保存后由小模型在本地反复执行。"
    },
    {
      "id": "2609.04199",
      "title": "Compile by Training: Turning Natural-Language Specifications into Local Neural Functions",
      "record_url": "https://programasweights.com/reading-list/papers/2609.04199/",
      "json_url": "https://programasweights.com/reading-list/papers/2609.04199/record.json",
      "markdown_url": "https://programasweights.com/reading-list/papers/2609.04199/index.md",
      "bibtex_url": "https://programasweights.com/reading-list/papers/2609.04199/citation.bib",
      "csl_url": "https://programasweights.com/reading-list/papers/2609.04199/citation.csl.json",
      "summary_zh": "根据函数说明生成训练样本，再训练 LoRA 适配器，将一次函数定义构建成可复用的本地神经程序。"
    }
  ]
}