欺骗手段 发表于 2025-3-23 13:44:57
Wade H. Shaferng MWPs with two types of solvers: tree-based solver and large language model (LLM) solver. However, these approaches always solve MWPs by a single solver, which will bring the following problems: (1) Single type of solver is hard to solve all types of MWPs well. (2) A single solver will result in p转折点 发表于 2025-3-23 16:04:10
Wade H. Shafers of TCM relies heavily on doctors’ experience, which can affect the accuracy of diagnosis in practice. With the development of natural language processing technology, its mechanism can learn from a large amount of unstructured text to obtain a comprehensive and unified classification model. In this无脊椎 发表于 2025-3-23 19:49:58
Wade H. Shaferiety of reasoning tasks. Still, due to the demand for low costs, research on the upper bound of small language models in reasoning tasks and the limitation of the knowledge they can accommodate has drawn attention. In line with previous work on math word problems, we discover that models that only l得意人 发表于 2025-3-24 01:42:08
http://reply.papertrans.cn/63/6256/625586/625586_14.pngCursory 发表于 2025-3-24 03:13:48
Wade H. Shafer (D-CPT) structure is proposed to better represent the dependency relations in a CPT-style structure, which employs dependency relation types instead of phrase labels in CPT. In this way, D-CPT not only keeps the dependency relationship information in the dependency parse tree (DPT) structure but al感情脆弱 发表于 2025-3-24 08:47:32
Wade H. Shaferords and thus lead to the loss of some important semantics. In this paper, we propose a new method to exploit word structure and integrate lexical semantics into character representations of pre-trained models. Specifically, we project a word’s embedding into its internal characters’ embeddings accocanvass 发表于 2025-3-24 14:19:38
Wade H. Shaferso very brittle and easily falter when fed with noisy sentences, i.e., from automatic speech recognition (ASR) output. Due to the lack of Chinese-to-English translation test set with natural Chinese-side ASR output, related studies artificially add noise into Chinese sentences to evaluation translat预知 发表于 2025-3-24 15:25:05
http://reply.papertrans.cn/63/6256/625586/625586_18.png陈列 发表于 2025-3-24 19:30:01
http://reply.papertrans.cn/63/6256/625586/625586_19.png任意 发表于 2025-3-25 00:08:08
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