[
  {
    "id": "dl3-a05-1",
    "type": "article",
    "title": "An Explanation of In-context Learning as Implicit Bayesian Inference",
    "author": [
      {
        "literal": "Sang Michael Xie"
      },
      {
        "literal": "Aditi Raghunathan"
      },
      {
        "literal": "Percy Liang"
      },
      {
        "literal": "Tengyu Ma"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2021
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/2111.02080",
    "container-title": "arXiv primary author manuscript",
    "note": "Original arXiv bibliographic record and abstract inspected on 2026-10-28; full proof and source experiments not independently audited.",
    "archive": "arXiv",
    "archive_location": "2111.02080"
  },
  {
    "id": "dl3-a05-2",
    "type": "article",
    "title": "What Can Transformers Learn In-Context? A Case Study of Simple Function Classes",
    "author": [
      {
        "literal": "Shivam Garg"
      },
      {
        "literal": "Dimitris Tsipras"
      },
      {
        "literal": "Percy Liang"
      },
      {
        "literal": "Gregory Valiant"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2022
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/2208.01066",
    "container-title": "arXiv primary author manuscript",
    "note": "Original arXiv bibliographic record and abstract inspected on 2026-10-28; full proof and source experiments not independently audited.",
    "archive": "arXiv",
    "archive_location": "2208.01066"
  },
  {
    "id": "dl3-a05-3",
    "type": "article",
    "title": "What learning algorithm is in-context learning? Investigations with linear models",
    "author": [
      {
        "literal": "Ekin Akyürek"
      },
      {
        "literal": "Dale Schuurmans"
      },
      {
        "literal": "Jacob Andreas"
      },
      {
        "literal": "Tengyu Ma"
      },
      {
        "literal": "Denny Zhou"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2022
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/2211.15661",
    "container-title": "arXiv primary author manuscript",
    "note": "Original arXiv bibliographic record and abstract inspected on 2026-10-28; full proof and source experiments not independently audited.",
    "archive": "arXiv",
    "archive_location": "2211.15661"
  },
  {
    "id": "dl3-a05-4",
    "type": "article",
    "title": "Transformers learn in-context by gradient descent",
    "author": [
      {
        "literal": "Johannes von Oswald"
      },
      {
        "literal": "Eyvind Niklasson"
      },
      {
        "literal": "Ettore Randazzo"
      },
      {
        "literal": "João Sacramento"
      },
      {
        "literal": "Alexander Mordvintsev"
      },
      {
        "literal": "Andrey Zhmoginov"
      },
      {
        "literal": "Max Vladymyrov"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2022
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/2212.07677",
    "container-title": "arXiv primary author manuscript",
    "note": "Original arXiv bibliographic record and abstract inspected on 2026-10-28; full proof and source experiments not independently audited.",
    "archive": "arXiv",
    "archive_location": "2212.07677"
  },
  {
    "id": "dl3-a05-5",
    "type": "article",
    "title": "Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?",
    "author": [
      {
        "literal": "Sewon Min"
      },
      {
        "literal": "Xinxi Lyu"
      },
      {
        "literal": "Ari Holtzman"
      },
      {
        "literal": "Mikel Artetxe"
      },
      {
        "literal": "Mike Lewis"
      },
      {
        "literal": "Hannaneh Hajishirzi"
      },
      {
        "literal": "Luke Zettlemoyer"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2022
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/2202.12837",
    "container-title": "arXiv primary author manuscript",
    "note": "Original arXiv bibliographic record and abstract inspected on 2026-10-28; full proof and source experiments not independently audited.",
    "archive": "arXiv",
    "archive_location": "2202.12837"
  },
  {
    "id": "dl3-a05-6",
    "type": "article",
    "title": "In-context Learning and Induction Heads",
    "author": [
      {
        "literal": "Catherine Olsson"
      },
      {
        "literal": "Nelson Elhage"
      },
      {
        "literal": "Neel Nanda"
      },
      {
        "literal": "Nicholas Joseph"
      },
      {
        "literal": "Nova DasSarma"
      },
      {
        "literal": "Tom Henighan"
      },
      {
        "literal": "Ben Mann"
      },
      {
        "literal": "Amanda Askell"
      },
      {
        "literal": "Yuntao Bai"
      },
      {
        "literal": "Anna Chen"
      },
      {
        "literal": "Tom Conerly"
      },
      {
        "literal": "Dawn Drain"
      },
      {
        "literal": "Deep Ganguli"
      },
      {
        "literal": "Zac Hatfield-Dodds"
      },
      {
        "literal": "Danny Hernandez"
      },
      {
        "literal": "Scott Johnston"
      },
      {
        "literal": "Andy Jones"
      },
      {
        "literal": "Jackson Kernion"
      },
      {
        "literal": "Liane Lovitt"
      },
      {
        "literal": "Kamal Ndousse"
      },
      {
        "literal": "Dario Amodei"
      },
      {
        "literal": "Tom Brown"
      },
      {
        "literal": "Jack Clark"
      },
      {
        "literal": "Jared Kaplan"
      },
      {
        "literal": "Sam McCandlish"
      },
      {
        "literal": "Chris Olah"
      }
    ],
    "issued": {
      "date-parts": [
        [
          2022
        ]
      ]
    },
    "URL": "https://arxiv.org/abs/2209.11895",
    "container-title": "arXiv primary author manuscript",
    "note": "Original arXiv bibliographic record and abstract inspected on 2026-10-28; full proof and source experiments not independently audited.",
    "archive": "arXiv",
    "archive_location": "2209.11895"
  }
]