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Found 8 papers, 2 papers with code
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering
This dataset is collected to investigate the use of personalized memories, focusing on social interactions and events in the QA task.
YODA: Teacher-Student Progressive Learning for Language Models
With the teacher's guidance, the student learns to iteratively refine its answer with feedback, and forms a robust and comprehensive understanding of the posed questions.
Data Management For Large Language Models: A Survey
Data plays a fundamental role in the training of Large Language Models (LLMs).
Exploring the Usage of Chinese Pinyin in Pretraining
Through delicate pretraining tasks, the characters and pinyin representation are fused, which can enhance the error tolerance for SSP errors.
Zero-shot Cross-lingual Transfer without Parallel Corpus
We got the new SOTA on different tasks without any dependencies on the parallel corpus or translation models.
SELF: Self-Evolution with Language Feedback
SELF initiates with a meta-skill learning process that equips the LLMs with capabilities for self-feedback and self-refinement.
Lexicon-injected Semantic Parsing for Task-Oriented Dialog
Then we present a novel lexicon-injected semantic parser, which collects slot labels of tree representation as a lexicon, and injects lexical features to the span representation of parser.
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling
Incorporating lexical knowledge into deep learning models has been proved to be very effective for sequence labeling tasks.
