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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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"authors": [
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"Shaokun Zhang*",
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"Jieyu Zhang*",
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"Jiale Liu",
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"Linxin Song",
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"Chi Wang",
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"Ranjay Krishna",
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"Qingyun Wu"
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],
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"year": "2024",
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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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{
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"title": "Iterated Learning Improves Compositionality in Large Vision-Language Models",
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"authors": [
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"Chenhao Zheng",
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"Jieyu Zhang",
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"Aniruddha Kembhavi",
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"Ranjay Krishna"
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],
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"year": "2024",
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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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{
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"title": "SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks",
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"authors": [
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"Mohammadreza Salehi",
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"Sachin Mehta",
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"Aditya Kusupati",
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"Ali Farhadi",
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"Hannaneh Hajishirzi"
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],
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"year": "2023",
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"venue": "EMNLP Findings 2023",
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"links": {
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"pdf": "https://arxiv.org/abs/2310.12126"
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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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"authors": [
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"Ethan Shen",
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"Alan Fan",
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"Sarah Pratt",
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"Jae Sung Park",
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"Matthew Wallingford",
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"Sham M. Kakade",
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"Ari Holtzman",
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"Ranjay Krishna",
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"Ali Farhadi",
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"Aditya Kusupati"
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],
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"year": "2024",
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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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{
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"title": "EcoAssistant: Using LLM Assistant More Affordably and Accurately",
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"authors": [

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