Papers with auto-regression

2 papers
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval (2024.acl-long)

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Challenge: Dense retrieval requires discriminative embeddings to represent the semantic relationship between query and document.
Approach: They propose an unsupervised approach that performs unsupervised adaptation of large language models for dense retrieval.
Outcome: The proposed model improves on a variety of dense retrieval benchmarks and is available on github.
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation (2023.acl-long)

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Challenge: Automated diagnosis (AD) is a critical application of AI in healthcare . despite its simplicity and superior performance, a decline in disease diagnosis accuracy is observed .
Approach: They propose a new collaborative disease and symptom generation framework to improve automatic diagnosis.
Outcome: The Transformer-based method achieves an average 2.3% improvement over previous state-of-the-art methods . it can be used to query patients about their symptoms and health concerns .

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