论文阅读计划

2023-09

• [x] BAI J, BAI S, CHU Y, 等, 2023. Qwen Technical Report[M/OL]. arXiv[2023-10-05]. http://arxiv.org/abs/2309.16609.
• [x] BEURER-KELLNER L, FISCHER M, VECHEV M, 2023. Prompting Is Programming: A Query Language for Large Language Models[J/OL]. Proceedings of the ACM on Programming Languages, 7(PLDI): 1946-1969. DOI:10.1145/3591300.
• [x] CHAI Y, WANG S, PANG C, 等, 2023. ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages[C/OL]//Findings of the Association for Computational Linguistics: ACL 2023. Toronto, Canada: Association for Computational Linguistics: 10628-10650[2023-09-24]. https://aclanthology.org/2023.findings-acl.676. DOI:10.18653/v1/2023.findings-acl.676.
• [x] CHEN M, TWOREK J, JUN H, 等, 2021. Evaluating Large Language Models Trained on Code[M/OL]. arXiv[2023-09-21]. http://arxiv.org/abs/2107.03374.
• [x] CHEN W, MA X, WANG X, 等, 2022. Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks[M/OL]. arXiv[2023-09-17]. http://arxiv.org/abs/2211.12588.
• [x] CUMMINS C, SEEKER V, GRUBISIC D, 等, 2023. Large Language Models for Compiler Optimization[M/OL]. arXiv[2023-09-24]. http://arxiv.org/abs/2309.07062.
• [x] DAGAN G, KELLER F, LASCARIDES A, 2023. Dynamic Planning with a LLM[M/OL]. arXiv[2023-09-24]. http://arxiv.org/abs/2308.06391.
• [x] DENNY P, KUMAR V, GIACAMAN N, 2022. Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language[M/OL]. arXiv[2023-09-24]. http://arxiv.org/abs/2210.15157.
• [x] LI L, YIN Y, LI S, 等, 2023. M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning[M/OL]. arXiv[2023-09-19]. http://arxiv.org/abs/2306.04387.
• [x] LI R, ALLAL L B, ZI Y, 等, 2023. StarCoder: may the source be with you![M/OL]. arXiv[2023-09-17]. http://arxiv.org/abs/2305.06161.
• [x] LUO Z, XU C, ZHAO P, 等, 2023. WizardCoder: Empowering Code Large Language Models with Evol-Instruct[M/OL]. arXiv[2023-09-17]. http://arxiv.org/abs/2306.08568.
• [x] MISHRA M, KUMAR P, BHAT R, 等, 2023. Prompting with Pseudo-Code Instructions[M/OL]. arXiv[2023-09-24]. http://arxiv.org/abs/2305.11790.
• [x] ODA Y, FUDABA H, NEUBIG G, 等, 2015. Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation[C/OL]//2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE). Lincoln, NE: IEEE: 574-584[2023-09-27]. https://ieeexplore.ieee.org/document/7372045/. DOI:10.1109/ASE.2015.36.
• [x] REYNOLDS L, MCDONELL K, 2021. Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm[M/OL]. arXiv[2023-09-24]. http://arxiv.org/abs/2102.07350.
• [x] ROZIÈRE B, GEHRING J, GLOECKLE F, 等, 2023. Code Llama: Open Foundation Models for Code[M/OL]. arXiv[2023-09-17]. http://arxiv.org/abs/2308.12950.
• [x] ZHANG S, DONG L, LI X, 等, 2023. Instruction Tuning for Large Language Models: A Survey[M/OL]. arXiv[2023-09-21]. http://arxiv.org/abs/2308.10792.