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Regulatory compliance in the pharmaceutical industry entails navigating through complex and voluminous guidelines, often requiring significant human resources.
Learning from one example through shared densities on transforms
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Bleu: a method for automatic evaluation of machine translation
K. Papineni · 2002
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The probabilistic relevance framework: Bm25 and beyond
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Improvements to bm25 and language models examined
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Human-level concept learning through probabilistic program induction
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A structured review of the validity of bleu
M. Post · 2018
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A structured review of the validity of bleu
E. Reiter · 2018
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Bleu is not suitable for the evaluation of text simplification
E. Sulem, O. Abend, and A. Rappoport · 2018
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Approximate similarity search with faiss framework using fpgas on the cloud
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Billion-scale similarity search with gpus
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Latent retrieval for weakly supervised open domain question answering
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An empirical comparison of faiss and fenshses for nearest neighbor search in hamming space
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Language models are few-shot learners
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Calculating quality management costs
M. Crudeli · 2020
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Dense passage retrieval for open-domain question answering
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Retrieval-augmented generation for knowledge-intensive nlp tasks
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Document ranking with a pretrained sequence-to-sequence model
R. Nogueira, Z. Jiang, and J. Lin · 2020
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Deep reinforced query reformulation for information retrieval
X. Wang, C. Macdonald, and I. Ounis · 2020
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Lora: Low-rank adaptation of large language models
E. J. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, et al · 2021
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Open-source ai chatbots are booming-what does this mean for researchers?
D Castelvecchi · 2023
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Can large language models be an alternative to human evaluations?
C. H. Chiang and H. Y. Lee · 2023
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Ragas: Automated evaluation of retrieval augmented generation
S. Es, J. James, L. Espinosa-Anke, and S. Schockaert · 2023
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Rogue scores
M. Grusky · 2023
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A. Q. Jiang, A. Sablayrolles, A. Mensch, C. Bamford, D. S. Chaplot, D. D. L. Casas, et al · 2023
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More robust dense retrieval with contrastive dual learning
Y. Li, Z. Liu, C. Xiong, and Z. Liu · 2021
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Lift: Language-interfaced fine-tuning for non-language machine learning tasks
T. Dinh, Y. Zeng, R. Zhang, Z. Lin, M. Gira, S. Rajput, et al · 2022
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Precise zero-shot dense retrieval without relevance labels
L. Gao, X. Ma, J. Lin, and J. Callan · 2022
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The use of chatbots as supportive agents for people seeking help with substance use disorder: A systematic review
L. Ogilvie, J. Prescott, and J. Carson · 2022
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Conversational health agents: A personalized llm-powered agent framework
M. Abbasian, I. Azimi, A. M. Rahmani, and R. Jain · 2023
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Query understanding in the age of large language models
A. Anand, A. Anand, and V. Setty · 2023
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Humanely: Human evaluation of llm yield, using a novel web-based evaluation tool
R. Awasthi, S. Mishra, D. Mahapatra, A. Khanna, K. Maheshwari, J. Cywinski, et al · 2023
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Y. Liu, D. Iter, Y. Xu, S. Wang, R. Xu, and C. Zhu · 2023
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Drug discovery companies are customizing chatgpt: here’s how
N. Savage · 2023
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Approximating online human evaluation of social chatbots with prompting
E. Svikhnushina and P. Pu · 2023
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Query2doc: Query expansion with large language models
L. Wang, N. Yang, and F. Wei · 2023
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Chatgpt in drug discovery: A case study on anti-cocaine addiction drug development with chatbots
R. Wang, H. Feng, and G. W. Wei · 2023
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Grove: A retrieval-augmented complex story generation framework with a forest of evidence
Z. Wen, Z. Tian, W. Wu, Y. Yang, Y. Shi, Z. Huang, and D. Li · 2023
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C-pack: Packaged resources to advance general chinese embedding
S. Xiao, Z. Liu, P. Zhang, and N. Muennighof · 2023
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Leandojo: Theorem proving with retrieval-augmented language models
Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, and Anima Anandkumar · 2023
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The expressive power of low-rank adaptation
Y. Zeng and K. Lee · 2023
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Retrieve anything to augment large language models
P. Zhang, S. Xiao, Z. Liu, Z. Dou, and J. Y. Nie · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
L. Zheng, W. L. Chiang, Y. Sheng, S. Zhuang, Z. Wu, Y. Zhuang, et al · 2023
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