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The advent of large language models (LLMs) has marked a significant milestone in the realm of artificial intelligence, with their capabilities often matching or surpassing human expertise in various domains.
A demonstration of the nonfeasibility of fully automatic high quality translation
Yehoshua Bar-Hillel · 1960
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The future of mt is now and bar-hillel was (almost entirely) right
Elliott Macklovitch · 1995
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Mptp–motivation, implementation, first experiments
Josef Urban · 2004
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Basic concepts and models for interpreter and translator training
Daniel Gile · 2009
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al · 2009
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Lexical Statistical Machine Translation for Language Migration
Anh Tuan Nguyen, Tung Thanh Nguyen, and Tien N Nguyen · 2013
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Phrase-based Statistical Translation of Programming Languages
Svetoslav Karaivanov, Veselin Raychev, and Martin Vechev · 2014
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Using Machine Translation for Converting Python 2 to Python 3 Code
Karan Aggarwal, Mohammad Salameh, and Abram Hindle · 2015
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Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Tree-to-Tree Neural Networks for Program Translation
Xinyun Chen, Chang Liu, and Dawn Song · 2018
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The move prover
Jingyi Emma Zhong, Kevin Cheang, Shaz Qadeer, Wolfgang Grieskamp, Sam Blackshear, Junkil Park, Yoni Zohar, Clark Barrett, and David L. Dill · 2020
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih · 2020
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou · 2020
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Uniswap trading volume exploded by 450% to $7 billion. here’s why, 2021
Jeff Benson · 2021
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SequalsK – A Bidirectional Swift-Kotlin-Transpiler
Dominik Schultes · 2021
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CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, et al · 2021
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CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang, Weishi Wang, Shafiq Joty, and Steven C.H. Hoi · 2021
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Unified Pre-training for Program Understanding and Generation
Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang · 2021
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Migrating monoliths to microservices-based customizable multi-tenant cloud-native apps
Sindre Grønstøl Haugeland, Phu H Nguyen, Hui Song, and Franck Chauvel · 2021
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Holistic evaluation of language models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, et al · 2022
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Prompting palm for translation: Assessing strategies and performance
David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, and George Foster · 2022
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Lessons learned from blockchain applications of trusted execution environments and implications for future research
Karanjai Rabimba, Lei Xu, Lin Chen, Fengwei Zhang, Zhimin Gao, and Weidong Shi · 2022
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Reacc: A retrieval-augmented code completion framework
Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, and Alexey Svyatkovskiy · 2022
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URL https://move-book.com/
URL https://move-language.github.io/move/
Introduction - the move book, 2023 · 2023
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URL https://examples.sui.io/basics/index.html
Sui basics - sui move by example, 2023 · 2023
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URL https://github.com/sayakpaul/hf-codegen/blob/main/data/prepare_dataset.py
hf-codegen, 2023 · 2023
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Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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The move language - the move book, 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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In Rust We Trust: A Transpiler from Unsafe C to Safer Rust
Michael Ling, Yijun Yu, Haitao Wu, Yuan Wang, James R Cordy, and Ahmed E Hassan · 2022
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TransCoder-ST: Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere, Jie Zhang, Francois Charton, Mark Harman, Gabriel Synnaeve, and Guillaume Lample · 2022
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Compilable Neural Code Generation with Compiler Feedback
Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, and Qun Liu · 2022
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
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Chatgpt or grammarly? evaluating chatgpt on grammatical error correction benchmark
Hao Wu, Wenxuan Wang, Yuxuan Wan, Wenxiang Jiao, and Michael R. Lyu · 2023
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Boosting theory-of-mind performance in large language models via prompting
Shima Rahimi Moghaddam and Christopher J Honey · 2023
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ShareGPT · 2023
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URL https://github.com/MystenLabs/sui/tree/main/sui_programmability/examples/fungible_tokens
fungible tokens, 2023 · 2023
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URL https://github.com/move-language/move/tree/main/language/documentation/examples/experimental/basic-coin
move/language/documentation/examples/experimental/basic-coin at main · move-language/move · github, 2023 · 2023
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URL https://github.com/0LNetworkCommunity/libra-legacy-v6/blob/main/language/diem-framework/modules/Diem.move
Diem, 2023 · 2023
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URL https://github.com/starcoinorg/starcoin-framework/blob/main/sources/Token.move
Token, 2023 · 2023
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URL https://github.com/0LNetworkCommunity/libra-legacy-v6/blob/main/language/diem-framework/modules/0L/GAS.move
Gas, 2023 · 2023
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URL https://github.com/MystenLabs/sui/tree/main/sui_programmability/examples/nfts
Nft, 2023 · 2023
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URL https://github.com/starcoinorg/starcoin-framework/blob/main/sources/MerkleNFT.move
starcoin-framework/sources/merklenft.move at main · starcoinorg/starcoin-framework · github, 2023 · 2023
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URL https://github.com/MystenLabs/sui/tree/main/sui_programmability/examples/defi
Defi, 2023 · 2023
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URL https://github.com/move-language/move/tree/main/language/documentation/examples/experimental/coin-swap
move/language/documentation/examples/experimental/coin-swap at main · move-language/move · github, 2023 · 2023
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URL https://github.com/Elements-Studio/starswap-core
Github - elements-studio/starswap-core: The swap project on starcoin such as uniswap a sushiswap, 2023 · 2023
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URL https://www.together.ai/blog/mixtral
Can you feel the moe? mixtral available with over 100 tokens per second through together platform!, 2023 · 2023
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How good are gpt models at machine translation? a comprehensive evaluation
Amr Hendy, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohamed Afify, and Hany Hassan Awadalla · 2023
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Measuring the impact of programming language distribution
Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, and Michele Catasta · 2023
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