Issue #211

July 26, 2023

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1. 1. Statistical arbitrage - An Easy Walkthrough [dm13450.github.io]
2. 2. Retrieval-based Language Models and Applications [acl2023-retrieval-lm.github.io]
3. 3. Decoding the ACL Paper: Gzip and KNN Rival BERT in Text Classification [codeconfessions.substack.com]
4. 4. The man who won the lottery 14 times [thehustle.co]
5. 5. Causal Inference for The Brave and True [matheusfacure.github.io]
6. 6. Why people struggle to understand climate risk [economist.com]
7. 7. Understanding Large Language Models: The Physics of (Chat)GPT and BERT [towardsdatascience.com]

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• • “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors (Z. Jiang, M. Yang, M. Tsirlin, R. Tang, Y. Dai, J. Lin)
• • Llama 2: Open Foundation and Fine-Tuned Chat Models (H. Touvron, L. Martin, K. Stone, P. Albert, A. Almahairi et al)
• • Ten simple rules for scientists engaging in science communication (B. G. Borowiec)
• • AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap (Q. V. Liao, J. W. Vaughan)
• • A Theory on Adam Instability in Large-Scale Machine Learning (I. Molybog, P. Albert, M. Chen, Z. DeVito, D. Esiobu, N. Goyal, P. S. Koura, S. Narang, A. Poulton, R. Silva, B. Tang, D. Liskovich, P. Xu, Y. Zhang, M. Kambadur, S. Roller, S. Zhang)
• • How is ChatGPT's behavior changing over time? (L. Chen, M. Zaharia, J. Zou)
• • Multimodal Deep Learning (C. Akkus, L. Chu, V. Djakovic, S. Jauch-Walser, P. Koch, G. Loss, C. Marquardt, M. Moldovan, N. Sauter, M. Schneider, R. Schulte, K. Urbanczyk, J. Goschenhofer, C. Heumann, R. Hvingelby, D. Schalk, M. Aßenmacher)

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