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Found 6 papers, 3 papers with code
Inherent limitations of LLMs regarding spatial information
Despite the significant advancements in natural language processing capabilities demonstrated by large language models such as ChatGPT, their proficiency in comprehending and processing spatial information, especially within the domains of 2D and 3D route planning, remains notably underdeveloped.
Local Byte Fusion for Neural Machine Translation
Subword tokenization schemes are the dominant technique used in current NLP models.
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
Our model can incorporate almost all types of existing relations in the literature, and in addition, we propose introducing co-reference relations for the multi-turn scenario.
Ranked #1 on
Dialogue State Tracking
on CoSQL
Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic
This large volume of information is difficult to consume by the audience in a reasonable amount of time.
Leveraging Personal Navigation Assistant Systems Using Automated Social Media Traffic Reporting
Modern urbanization is demanding smarter technologies to improve a variety of applications in intelligent transportation systems to relieve the increasing amount of vehicular traffic congestion and incidents.
Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction
In this paper, we propose two automated text processing frameworks specifically designed to analyze online reviews.
