Scintillations 发表于 2025-3-28 15:31:47
http://reply.papertrans.cn/67/6619/661814/661814_41.pngchampaign 发表于 2025-3-28 21:35:18
Contrastive Learning for Robust Neural Machine Translation with ASR Errorsso 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案发地点 发表于 2025-3-29 02:25:04
http://reply.papertrans.cn/67/6619/661814/661814_43.png不透明 发表于 2025-3-29 04:35:05
http://reply.papertrans.cn/67/6619/661814/661814_44.png拥挤前 发表于 2025-3-29 08:43:31
Regularized Contrastive Learning of Semantic Searchroperly learn the semantics of sentences. Transformer-based models are widely used as retrieval models due to their excellent ability to learn semantic representations. in the meantime, many regularization methods suitable for them have also been proposed. In this paper, we propose a new regularizat设施 发表于 2025-3-29 13:59:29
Kformer: Knowledge Injection in Transformer Feed-Forward Layersthe PTMs’ own ability with quantities of implicit knowledge stored in parameters. A recent study [.] has observed knowledge neurons in the Feed Forward Network (FFN), which are responsible for expressing factual knowledge. In this work, we propose a simple model, Kformer, which takes advantage of thCODE 发表于 2025-3-29 18:08:21
Doge Tickets: Uncovering Domain-General Language Models by Playing Lottery Ticketsrning capacity of LMs can also lead to large learning variance. In a pilot study, we find that, when faced with multiple domains, a critical portion of parameters behave unexpectedly in a domain-specific manner while others behave in a domain-general one. Motivated by this phenomenon, we for the firRetrieval 发表于 2025-3-29 21:55:37
BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Informat separate entities, the importance of its mentions varies, which means the entity representation should be different. However, most of the previous RE models failed to make the relation classification entity-pair aware effectively. To that end, we propose a novel adaptation to simultaneously utilize厌食症 发表于 2025-3-30 00:17:21
http://reply.papertrans.cn/67/6619/661814/661814_49.pngCougar 发表于 2025-3-30 07:11:45
http://reply.papertrans.cn/67/6619/661814/661814_50.png