{ "metadata": { "language": "zh-CN", "updated_at": "2026-11-11", "version": "1.2.0", "record_count": 13, "canonical_url": "https://programasweights.com/zh/reading-list/", "english_url": "https://programasweights.com/reading-list/" }, "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。", "pages": { "research": "https://programasweights.com/zh/research/", "reading_list": "https://programasweights.com/zh/reading-list/", "papers": "https://programasweights.com/zh/reading-list/papers/" }, "english_pages": { "research": "https://programasweights.com/research/", "reading_list": "https://programasweights.com/reading-list/", "papers": "https://programasweights.com/reading-list/papers/" }, "downloads": [ "https://programasweights.com/zh/research/index.md", "https://programasweights.com/zh/research/index.json", "https://programasweights.com/zh/reading-list/index.md", "https://programasweights.com/zh/reading-list/index.json", "https://programasweights.com/zh/reading-list/data/papers.json", "https://programasweights.com/reading-list/data/papers.bib", "https://programasweights.com/reading-list/data/papers.csl.json" ], "papers": [ { "id": "1511.06279", "title": "Neural Programmer-Interpreters", "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。", "record_url": "https://programasweights.com/reading-list/papers/1511.06279/", "json_url": "https://programasweights.com/reading-list/papers/1511.06279/record.json", "markdown_url": "https://programasweights.com/reading-list/papers/1511.06279/index.md", "bibtex_url": "https://programasweights.com/reading-list/papers/1511.06279/citation.bib", "csl_url": "https://programasweights.com/reading-list/papers/1511.06279/citation.csl.json" }, { "id": "1609.09106", "title": "HyperNetworks", "summary_zh": "用一个神经网络生成另一个神经网络的权重。", "record_url": "https://programasweights.com/reading-list/papers/1609.09106/", "json_url": "https://programasweights.com/reading-list/papers/1609.09106/record.json", "markdown_url": "https://programasweights.com/reading-list/papers/1609.09106/index.md", "bibtex_url": "https://programasweights.com/reading-list/papers/1609.09106/citation.bib", "csl_url": "https://programasweights.com/reading-list/papers/1609.09106/citation.csl.json" }, { "id": "2101.00190", "title": "Prefix-Tuning: Optimizing Continuous Prompts for Generation", "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。", "record_url": "https://programasweights.com/reading-list/papers/2101.00190/", "json_url": "https://programasweights.com/reading-list/papers/2101.00190/record.json", "markdown_url": "https://programasweights.com/reading-list/papers/2101.00190/index.md", "bibtex_url": "https://programasweights.com/reading-list/papers/2101.00190/citation.bib", "csl_url": "https://programasweights.com/reading-list/papers/2101.00190/citation.csl.json" }, { "id": "2101.00420", "title": "Learning to Generate Task-Specific Adapters from Task Description", "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。", "record_url": "https://programasweights.com/reading-list/papers/2101.00420/", "json_url": "https://programasweights.com/reading-list/papers/2101.00420/record.json", "markdown_url": "https://programasweights.com/reading-list/papers/2101.00420/index.md", "bibtex_url": "https://programasweights.com/reading-list/papers/2101.00420/citation.bib", "csl_url": "https://programasweights.com/reading-list/papers/2101.00420/citation.csl.json" }, { "id": "2106.09685", "title": "LoRA: Low-Rank Adaptation of Large Language Models", "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。", "record_url": "https://programasweights.com/reading-list/papers/2106.09685/", "json_url": "https://programasweights.com/reading-list/papers/2106.09685/record.json", "markdown_url": "https://programasweights.com/reading-list/papers/2106.09685/index.md", "bibtex_url": "https://programasweights.com/reading-list/papers/2106.09685/citation.bib", "csl_url": "https://programasweights.com/reading-list/papers/2106.09685/citation.csl.json" }, { "id": "2211.12485", "title": "HyperTuning: Toward Adapting Large Language Models without Back-propagation", "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。", "record_url": "https://programasweights.com/reading-list/papers/2211.12485/", "json_url": "https://programasweights.com/reading-list/papers/2211.12485/record.json", "markdown_url": "https://programasweights.com/reading-list/papers/2211.12485/index.md", "bibtex_url": "https://programasweights.com/reading-list/papers/2211.12485/citation.bib", "csl_url": "https://programasweights.com/reading-list/papers/2211.12485/citation.csl.json" }, { "id": "2212.10315", "title": "HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation", "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。", "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" }, { "id": "2304.08467", "title": "Learning to Compress Prompts with Gist Tokens", "summary_zh": "将一段指令压缩为几个可复用的 gist token 激活值。", "record_url": "https://programasweights.com/reading-list/papers/2304.08467/", "json_url": "https://programasweights.com/reading-list/papers/2304.08467/record.json", "markdown_url": "https://programasweights.com/reading-list/papers/2304.08467/index.md", "bibtex_url": "https://programasweights.com/reading-list/papers/2304.08467/citation.bib", "csl_url": "https://programasweights.com/reading-list/papers/2304.08467/citation.csl.json" }, { "id": "2407.11004", "title": "The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators", "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。", "record_url": "https://programasweights.com/reading-list/papers/2407.11004/", "json_url": "https://programasweights.com/reading-list/papers/2407.11004/record.json", "markdown_url": "https://programasweights.com/reading-list/papers/2407.11004/index.md", "bibtex_url": "https://programasweights.com/reading-list/papers/2407.11004/citation.bib", "csl_url": "https://programasweights.com/reading-list/papers/2407.11004/citation.csl.json" }, { "id": "2411.05877", "title": "Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass", "summary_zh": "通过一次前向传播，将新上下文转化为低秩参数更新。", "record_url": "https://programasweights.com/reading-list/papers/2411.05877/", "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" }, { "id": "2506.06105", "title": "Text-to-LoRA: Instant Transformer Adaption", "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。", "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" }, { "id": "2607.02512", "title": "Program-as-Weights: A Programming Paradigm for Fuzzy Functions", "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。", "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" }, { "id": "2609.04199", "title": "Compile by Training: Turning Natural-Language Specifications into Local Neural Functions", "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。", "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" } ] }