Fetching the paper…
Reading the bibliography…
Online Large Language Model (LLM) services such as ChatGPT and Claude 3 have transformed business operations and academic research by effortlessly enabling new opportunities.
American Psychiatric Association, 2013
Diagnostic and statistical manual of mental disorders (dsm-5-tr) · 2013
Earlier work this paper cites.
The distress analysis interview corpus of human and computer interviews
J. Gratch, R. Artstein, G. M. Lucas, G. Stratou, S. Scherer, A. Nazarian, R. Wood, J. Boberg, D. DeVault, S. Marsella, et al · 2014
Earlier work this paper cites.
Boolq: Exploring the surprising difficulty of natural yes/no questions
C. Clark, K. Lee, M.-W. Chang, T. Kwiatkowski, M. Collins, and K. Toutanova · 2019
Earlier work this paper cites.
Language models as knowledge bases?
F. Petroni, T. Rocktäschel, P. Lewis, A. Bakhtin, Y. Wu, A. H. Miller, and S. Riedel · 2019
Earlier work this paper cites.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, S. Riedel, and D. Kiela · 2020
Earlier work this paper cites.
How Much Knowledge Can You Pack Into the Parameters of a Language Model?, Oct. 2020
A. Roberts, C. Raffel, and N. Shazeer · 2020
Earlier work this paper cites.
ContractNLI: A dataset for document-level natural language inference for contracts
Y. Koreeda and C. Manning · 2021
Earlier work this paper cites.
WHO, 2022
Who highlights urgent need to transform mental health and mental health care · 2022
Earlier work this paper cites.
A Survey on Retrieval-Augmented Text Generation, Feb. 2022
H. Li, Y. Su, D. Cai, Y. Wang, and L. Liu · 2022
Earlier work this paper cites.
Llmebench: A flexible framework for accelerating llms benchmarking
F. Dalvi, M. Hasanain, S. Boughorbel, B. Mousi, S. Abdaljalil, N. Nazar, A. Abdelali, S. A. Chowdhury, H. Mubarak, A. Ali, et al · 2023
Earlier work this paper cites.
Prompt engineering in large language models
G. Marvin, N. Hellen, D. Jjingo, and J. Nakatumba-Nabende · 2023
Cited alongside, same era.
A study of generative large language model for medical research and healthcare
C. Peng, X. Yang, A. Chen, K. E. Smith, N. PourNejatian, A. B. Costa, C. Martin, M. G. Flores, Y. Zhang, T. Magoc, et al · 2023
Cited alongside, same era.
Welcome to the era of chatgpt et al. the prospects of large language models
T. Teubner, C. M. Flath, C. Weinhardt, W. van der Aalst, and O. Hinz · 2023
Cited alongside, same era.
Openicl: An open-source framework for in-context learning
Z. Wu, Y. Wang, J. Ye, Z. Wu, J. Feng, J. Xu, and Y. Qiao · 2023
Cited alongside, same era.
A survey on model compression and acceleration for pretrained language models
C. Xu and J. McAuley · 2023
Cited alongside, same era.
https://github.com/EleutherAI/lm-evaluation-harness , 2021
https://github.com/openai/evals , 2023
OpenAI Evals · 2024
Closest in time.
https://www.anthropic.com/claude , 2024
Claude 3 · 2024
Closest in time.
https://github.com/meta-llama/llama3 , 2024
Llama3 · 2024
Closest in time.
Retrieval-Augmented Generation for Large Language Models: A Survey, Jan. 2024
Y. Gao, Y. Xiong, X. Gao, K. Jia, J. Pan, Y. Bi, Y. Dai, J. Sun, Q. Guo, M. Wang, and H. Wang · 2024
Closest in time.
Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models
N. Guha, J. Nyarko, D. Ho, C. Ré, A. Chilton, A. Chohlas-Wood, A. Peters, B. Waldon, D. Rockmore, D. Zambrano, et al · 2024
Closest in time.
Better call gpt, comparing large language models against lawyers
L. Martin, N. Whitehouse, S. Yiu, L. Catterson, and R. Perera · 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
OpenAI Evals · 2024
Cited alongside, same era.
https://www.langchain.com/ , 2022
LangChain · 2024
Cited alongside, same era.
https://chat.openai.com , 2022
ChatGPT · 2024
Cited alongside, same era.
https://www.llamaindex.ai/ , 2023
LlamaIndex · 2024
Cited alongside, same era.
https://www.flowiseai.com/ , 2023
Flowise - Low code LLM Apps Builder · 2024
Cited alongside, same era.
Closest in time.
A survey on large language model based autonomous agents
L. Wang, C. Ma, X. Feng, Z. Zhang, H. Yang, J. Zhang, Z. Chen, J. Tang, X. Chen, Y. Lin, et al · 2024
Closest in time.
Leveraging large language models to power chatbots for collecting user self-reported data
J. Wei, S. Kim, H. Jung, and Y.-H. Kim · 2024
Closest in time.
A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Y. Yao, J. Duan, K. Xu, Y. Cai, Z. Sun, and Y. Zhang · 2024
Closest in time.