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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": "Objaverse-XL: A Universe of 10M+ 3D Objects",
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"authors": [
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"Matt Deitke",
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"Ruoshi Liu",
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"Matthew Wallingford",
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"Huong Ngo",
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"Oscar Michel",
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"Aditya Kusupati",
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"Alan Fan",
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"Christian Laforte",
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"Vikram Voleti",
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"Samir Yitzhak Gadre",
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"Eli VanderBilt",
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"Aniruddha Kembhavi",
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"Carl Vondrick",
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"Georgia Gkioxari",
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"Kiana Ehsani",
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"Ludwig Schmidt",
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"Ali Farhadi"
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],
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"year": "2023",
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"venue": "NeurIPS 2023",
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"links": {
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"pdf": "https://arxiv.org/abs/2307.05663",
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"code": "https://github.com/allenai/objaverse-xl",
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"project page": "https://objaverse.allenai.org/"
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},
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"thumbnail": "/objaverse-xl.jpg"
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},
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{
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"title": "SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality",
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"authors": [
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"Cheng-Yu Hsieh*",
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"Jieyu Zhang*",
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"Zixian Ma",
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"Aniruddha Kembhavi",
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"Ranjay Krishna"
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],
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"year": "2023",
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"venue": "NeurIPS 2023",
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"links": {
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"pdf": "https://arxiv.org/abs/2306.14610",
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"code": "https://github.com/RAIVNLab/sugar-crepe"
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},
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"thumbnail": "/sugar-crepe.jpg"
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},
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{
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"title": "DataComp: In search of the next generation of multimodal datasets",
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"authors": [
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"Samir Yitzhak Gadre",
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"Gabriel Ilharco",
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"Alex Fang",
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"Jonathan Hayase",
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"Georgios Smyrnis",
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"Thao Nguyen",
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"Ryan Marten",
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"Mitchell Wortsman",
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"Dhruba Ghosh",
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"Jieyu Zhang",
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"Eyal Orgad",
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"Rahim Entezari",
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"Giannis Daras",
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"Sarah Pratt",
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"Vivek Ramanujan",
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"Yonatan Bitton",
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"Kalyani Marathe",
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"Stephen Mussmann",
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"Richard Vencu",
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"Mehdi Cherti",
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"Ranjay Krishna",
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"Pang Wei Koh",
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"Olga Saukh",
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"Alexander Ratner",
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"Shuran Song",
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"Hannaneh Hajishirzi",
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"Ali Farhadi",
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"Romain Beaumont",
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"Sewoong Oh",
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"Alex Dimakis",
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"Jenia Jitsev",
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"Yair Carmon",
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"Vaishaal Shankar",
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"Ludwig Schmidt."
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],
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"year": "2023",
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"venue": "NeurIPS 2023",
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"links": {
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"pdf": "https://arxiv.org/abs/2304.14108",
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"project page": "https://datacomp.ai/"
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},
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"thumbnail": "/datacomp.jpg"
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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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"authors": [
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"Vivek Ramanujan",
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"Thao Nguyen",
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"Sewoong Oh",
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"Ludwig Schmidt",
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"Ali Farhadi"
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],
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"year": "2023",
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"venue": "NeurIPS 2023",
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"links": {
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"pdf": "https://arxiv.org/abs/2307.12532"
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},
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},
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{
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"title": "OBJECT 3DIT: Language-guided 3D-aware Image Editing",
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"thumbnail": "/rotate.gif",
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"authors": [
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"Oscar Michel",
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"Anand Bhattad",
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"Eli VanderBilt",
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"Ranjay Krishna",
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"Aniruddha Kembhavi",
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"Tanmay Gupta"
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],
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"year": "2023",
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"venue": "NeurIPS 2023",
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"links": {
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"pdf": "https://arxiv.org/abs/2307.11073",
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"project page": "https://prior.allenai.org/projects/object-edit"
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},
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"imageWidth": "calc(7/12*100%)"
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},
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{
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"title": "MADLAD-400: Monolingual And Document-level Large Audited Dataset",
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"authors": [
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"Sneha Kudugunta",
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"Isaac Rayburn Caswell",
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"Biao Zhang",
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"Xavier Garcia",
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"Derrick Xin",
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"Aditya Kusupati",
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"Romi Stella",
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"Ankur Bapna",
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"Orhan Firat"
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],
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"year": "2023",
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"venue": "NeurIPS 2023",
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"links": {
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"pdf": "https://arxiv.org/abs/2309.04662"
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}
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},
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{
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"title": "Neural Priming for Sample-Efficient Adaptation",
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"authors": [
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"Matthew Wallingford",
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"Vivek Ramanujan",
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"Alex Fang",
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"Aditya Kusupati",
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"Roozbeh Mottaghi",
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"Aniruddha Kembhavi",
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"Ludwig Schmidt",
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"Ali Farhadi"
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],
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"year": "2023",
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"venue": "NeurIPS 2023",
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"links": {
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"pdf": "https://arxiv.org/abs/2306.10191",
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"code": "https://github.com/RAIVNLab/neural-priming"
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}
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},
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{
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"title": "Quilt-1M: One Million Image-Text Pairs for Histopathology",
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"thumbnail": "/quilt-1m.jpg",
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"authors": [
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"Wisdom Oluchi Ikezogwo",
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"Mehmet Saygin Seyfioglu",
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"Fatemeh Ghezloo",
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"Dylan Stefan Chan Geva",
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"Fatwir Sheikh Mohammed",
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"Pavan Kumar Anand",
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"Ranjay Krishna",
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"Linda Shapiro"
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],
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"year": "2023",
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"venue": "NeurIPS 2023",
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"links": {
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"pdf": "http://arxiv.org/abs/2306.11207",
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"code": "https://github.com/wisdomikezogwo/quilt1m"
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}
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},
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{
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"title": "Cola: How to adapt vision-language models to Compose Objects Localized with Attributes?",
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"authors": [
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