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src/components/publications.json

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[
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{
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"title": "Training Language Model Agents without Modifying Language Models",
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"title": "Offline Training of Language Model Agents with Functions as Learnable Weights",
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"authors": [
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"Shaokun Zhang*",
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"Jieyu Zhang*",
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"venue": "ICML 2024",
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"links": {
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"pdf": "https://arxiv.org/abs/2402.11359"
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}
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},
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"thumbnail": "/offline.png"
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},
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{
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"title": "Iterated Learning Improves Compositionality in Large Vision-Language Models",
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"venue": "CVPR 2024",
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"links": {
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"pdf": "https://arxiv.org/abs/2404.02145"
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}
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},
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"thumbnail": "/iterated.png"
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},
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{
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"title": "On the Connection between Pre-training Data Diversity and Fine-tuning Robustness",
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}
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},
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{
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"title": "MatFormer: Nested Transformer for Elastic Inference",
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"title": "Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass",
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"authors": [
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"Ethan Shen",
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"Alan Fan",
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"venue": "NeurIPS 2024",
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"links": {
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"pdf": "https://arxiv.org/abs/2405.18400"
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}
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},
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"thumbnail": "/superposed.png"
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},
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{
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"title": "EcoAssistant: Using LLM Assistant More Affordably and Accurately",

static/codebook_teaser.png

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static/iterated.png

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static/offline.png

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static/superposed.png

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