WIP: Add papers.jsonl

papers.jsonl

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+{"name":  "Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild", "url": "https://arxiv.org/abs/1906.02569", tags: ["inclusive"]}
+{"name":  "DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter", "url": "https://arxiv.org/abs/1910.01108", tags: ["sustainable"]}
+{"name":  "RAFT: A Real-World Few-Shot Text Classification Benchmark", "url": "https://arxiv.org/abs/2109.14076", tags: ["rigorous"]}
+{"name":  "Interactive Model Cards: A Human-Centered Approach to Model Documentation", "url": "https://arxiv.org/abs/2205.02894", tags: ["rigorous"]}
+{"name":  "Data Governance in the Age of Large-Scale Data-Driven Language Technology", "url": "https://arxiv.org/abs/2206.03216", tags: ["consentful"]}
+{"name":  "Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets", "url": "https://arxiv.org/abs/2103.12028", tags: ["rigorous"]}
+{"name":  "A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication", "url": "https://arxiv.org/abs/2111.04424", tags: ["rigorous"]}
+{"name":  "Bugs in the Data: How ImageNet Misrepresents Biodiversity", "url": "https://arxiv.org/abs/2208.11695", tags: ["rigorous", "socially conscious"]}
+{"name":  "Measuring Data", "url": "https://arxiv.org/abs/2212.05129", tags: ["rigorous"]}
+{"name":  "Perturbation Augmentation for Fairer NLP", "url": "https://arxiv.org/abs/2205.12586", tags: ["rigorous"]}
+{"name":  "SEAL : Interactive Tool for Systematic Error Analysis and Labeling", "url": "https://arxiv.org/abs/2210.05839", tags: ["rigorous"]}
+{"name":  "Multitask Prompted Training Enables Zero-Shot Task Generalization", "url": "https://arxiv.org/abs/2110.08207", tags: ["rigorous"]}
+{"name":  "BLOOM: A 176B-Parameter Open-Access Multilingual Language Model", "url": "https://arxiv.org/abs/2211.05100", tags: ["inclusive"]}
+{"name":  "The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset", "url": "https://arxiv.org/abs/2303.03915", tags: ["inclusive"]}
+{"name":  "Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements", "url": "https://arxiv.org/abs/2210.01970", tags: ["rigorous"]}
+{"name":  "Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face", "url": "https://arxiv.org/abs/2302.14534", tags: ["inclusive"]}
+{"name":  "The ROOTS Search Tool: Data Transparency for LLMs", "url": "https://arxiv.org/abs/2302.14035", tags: ["rigorous"]}
+{"name":  "Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness", "url": "https://arxiv.org/abs/2302.10893", tags: ["rigorous"]}
+{"name":  "Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning", "url": "https://arxiv.org/abs/2302.08476", tags: ["sustainable"]}
+{"name":  "The Gradient of Generative AI Release: Methods and Considerations", "url": "https://arxiv.org/abs/2302.04844", tags: ["inquisitive"]}
+{"name":  "BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model", "url": "https://arxiv.org/abs/2212.04960", tags: ["inquisitive"]}
+{"name":  "Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives", "url": "https://arxiv.org/abs/2301.08488", tags: ["inquisitive"]}