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Found 18 papers, 4 papers with code
SQLong: Enhanced NL2SQL for Longer Contexts with LLMs
Open-weight large language models (LLMs) have significantly advanced performance in the Natural Language to SQL (NL2SQL) task.
Mastering the Craft of Data Synthesis for CodeLLMs
Large language models (LLMs) have shown impressive performance in \emph{code} understanding and generation, making coding tasks a key focus for researchers due to their practical applications and value as a testbed for LLM evaluation.
An adaptable task-oriented dialog system for stand-alone embedded devices
This paper describes a spoken-language end-to-end task-oriented dialogue system for small embedded devices such as home appliances.
Active learning for deep semantic parsing
Semantic parsing requires training data that is expensive and slow to collect.
Multilingual Semantic Parsing And Code-Switching
As far as we know, this is the first study of code-switching in semantic parsing.
Multilingual Training of Crosslingual Word Embeddings
Crosslingual word embeddings represent lexical items from different languages using the same vector space, enabling crosslingual transfer.
An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages
For many low-resource languages, spoken language resources are more likely to be annotated with translations than with transcriptions.
Learning Crosslingual Word Embeddings without Bilingual Corpora
Crosslingual word embeddings represent lexical items from different languages in the same vector space, enabling transfer of NLP tools.
Bilingual Lexicon Induction
Cross-Lingual Document Classification
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