Papers Sequence-to-sequence Language Modeling
“Sequence-to-sequence Language Modeling” 태그가 달린 논문 5편 · 필터 해제
diff History for Neural Language Agents
Neural Language Models (LMs) offer an exciting solution for general-purpose embodied control. However, a key technical issue arises when using an LM-based controller: environment observations must be converted to text, w…
Decision MakingNetHackSequence-to-sequence Language ModelingViHOS: Hate Speech Spans Detection for Vietnamese
The rise in hateful and offensive language directed at other users is one of the adverse side effects of the increased use of social networking platforms. This could make it difficult for human moderators to review tagge…
Hate Span IdentificationSequence-to-sequence Language ModelingToxic Spans DetectionVietnamese Hate Speech Detection+2Replacing Language Model for Style Transfer
We introduce replacing language model (RLM), a sequence-to-sequence language modeling framework for text style transfer (TST). Our method autoregressively replaces each token of the source sentence with a text span that …
DisentanglementLanguage ModelingLanguage Modellingmodel+4DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention
Vision-and-language (V-L) tasks require the system to understand both vision content and natural language, thus learning fine-grained joint representations of vision and language (a.k.a. V-L representations) is of paramo…
Image CaptioningLanguage ModelingLanguage ModellingSentence+2Assemble Foundation Models for Automatic Code Summarization
Automatic code summarization is beneficial to daily software development since it could help reduce the requirement of manual writing. Currently, artificial intelligence is undergoing a paradigm shift. The foundation mod…
Code Documentation GenerationCode SummarizationSequence-to-sequence Language ModelingSource Code Summarization+1