Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Wang Sida"'
Autor:
Cao, Ruisheng, Lei, Fangyu, Wu, Haoyuan, Chen, Jixuan, Fu, Yeqiao, Gao, Hongcheng, Xiong, Xinzhuang, Zhang, Hanchong, Mao, Yuchen, Hu, Wenjing, Xie, Tianbao, Xu, Hongshen, Zhang, Danyang, Wang, Sida, Sun, Ruoxi, Yin, Pengcheng, Xiong, Caiming, Ni, Ansong, Liu, Qian, Zhong, Victor, Chen, Lu, Yu, Kai, Yu, Tao
Data science and engineering workflows often span multiple stages, from warehousing to orchestration, using tools like BigQuery, dbt, and Airbyte. As vision language models (VLMs) advance in multimodal understanding and code generation, VLM-based age
Externí odkaz:
http://arxiv.org/abs/2407.10956
Self-assembly of matter in solution generally relies on attractive interactions that overcome entropy and drive the formation of higher-order molecular and particulate structures. Such interactions play key roles in a variety of contexts, e.g., cryst
Externí odkaz:
http://arxiv.org/abs/2405.12099
Autor:
Jain, Naman, Han, King, Gu, Alex, Li, Wen-Ding, Yan, Fanjia, Zhang, Tianjun, Wang, Sida, Solar-Lezama, Armando, Sen, Koushik, Stoica, Ion
Large Language Models (LLMs) applied to code-related applications have emerged as a prominent field, attracting significant interest from both academia and industry. However, as new and improved LLMs are developed, existing evaluation benchmarks (e.g
Externí odkaz:
http://arxiv.org/abs/2403.07974
We introduce Syntax-Aware Fill-In-the-Middle (SAFIM), a new benchmark for evaluating Large Language Models (LLMs) on the code Fill-in-the-Middle (FIM) task. This benchmark focuses on syntax-aware completions of program structures such as code blocks
Externí odkaz:
http://arxiv.org/abs/2403.04814
Autor:
Gu, Alex, Rozière, Baptiste, Leather, Hugh, Solar-Lezama, Armando, Synnaeve, Gabriel, Wang, Sida I.
We present CRUXEval (Code Reasoning, Understanding, and eXecution Evaluation), a benchmark consisting of 800 Python functions (3-13 lines). Each function comes with an input-output pair, leading to two natural tasks: input prediction and output predi
Externí odkaz:
http://arxiv.org/abs/2401.03065
Publikováno v:
E3S Web of Conferences, Vol 252, p 03033 (2021)
The capacity expansion of the old transmission lines will lead to an increase in the load level of exsiting prestressed reinforced concrete pole. In this work, the structural parameters of old pole were detected by X-ray imaging technology. The force
Externí odkaz:
https://doaj.org/article/fbaabbce360244fc95a022285a988426
Autor:
Wang, Sida I.
The striking ability of unsupervised word translation has been demonstrated with the help of word vectors / pretraining; however, they require large amounts of data and usually fails if the data come from different domains. We propose coocmap, a meth
Externí odkaz:
http://arxiv.org/abs/2305.14200
Interactive semantic parsing based on natural language (NL) feedback, where users provide feedback to correct the parser mistakes, has emerged as a more practical scenario than the traditional one-shot semantic parsing. However, prior work has heavil
Externí odkaz:
http://arxiv.org/abs/2305.08195
Autor:
Ni, Ansong, Iyer, Srini, Radev, Dragomir, Stoyanov, Ves, Yih, Wen-tau, Wang, Sida I., Lin, Xi Victoria
The advent of large language models trained on code (code LLMs) has led to significant progress in language-to-code generation. State-of-the-art approaches in this area combine LLM decoding with sample pruning and reranking using test cases or heuris
Externí odkaz:
http://arxiv.org/abs/2302.08468
The interaction between charged objects in solution is generally expected to recapitulate two central principles of electromagnetics: (i) like-charged objects repel, and (ii) they do so regardless of the sign of their electrical charge. Here we demon
Externí odkaz:
http://arxiv.org/abs/2212.12894