Fetching the paper…
Reading the bibliography…
Large language models (LLMs), such as GPT3.5, GPT4 and LLAMA2 perform surprisingly well and outperform human experts on many tasks.
Freebase: a collaboratively created graph database for structuring human knowledge
K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor · 2008
Earlier work this paper cites.
Semantic parsing on freebase from question-answer pairs
J. Berant, A. Chou, R. Frostig, and P. Liang · 2013
Earlier work this paper cites.
Ernie: Enhanced language representation with informative entities
Z. Zhang, X. Han, Z. Liu, X. Jiang, M. Sun, and Q. Liu · 2019
Earlier work this paper cites.
Language models are few-shot learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al · 2020
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, et al · 2020
Earlier work this paper cites.
Memory and knowledge augmented language models for inferring salience in long-form stories
D. Wilmot and F. Keller · 2021
Earlier work this paper cites.
Improving language models by retrieving from trillions of tokens
S. Borgeaud, A. Mensch, J. Hoffmann, T. Cai, E. Rutherford, K. Millican, G. B. Van Den Driessche, J.-B. Lespiau, B. Damoc, A. Clark, et al · 2022
Earlier work this paper cites.
Diverse demonstrations improve in-context compositional generalization
I. Levy, B. Bogin, and J. Berant · 2022
Cited alongside, same era.
Selective annotation makes language models better few-shot learners
H. Su, J. Kasai, C. H. Wu, W. Shi, T. Wang, J. Xin, R. Zhang, M. Ostendorf, L. Zettlemoyer, N. A. Smith, et al · 2022
Cited alongside, same era.
A large chinese medical cqa
Y. Weng · 2022
Cited alongside, same era.
Y. Bang, S. Cahyawijaya, N. Lee, W. Dai, D. Su, B. Wilie, H. Lovenia, Z. Ji, T. Yu, W. Chung, et al · 2023
Cited alongside, same era.
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
W.-L. Chiang, Z. Li, Z. Lin, Y. Sheng, Z. Wu, H. Zhang, L. Zheng, S. Zhuang, Y. Zhuang, J. E. Gonzalez, et al · 2023
Structgpt: A general framework for large language model to reason over structured data
J. Jiang, K. Zhou, Z. Dong, K. Ye, W. X. Zhao, and J.-R. Wen · 2023
Later among the works it cites.
Replug: Retrieval-augmented black-box language models
W. Shi, S. Min, M. Yasunaga, M. Seo, R. James, M. Lewis, L. Zettlemoyer, and W.-t. Yih · 2023
Later among the works it cites.
A survey of reasoning with foundation models
J. Sun, C. Zheng, E. Xie, Z. Liu, R. Chu, J. Qiu, J. Xu, M. Ding, H. Li, M. Geng, et al · 2023
Later among the works it cites.
Alpaca: A strong, replicable instruction-following model
R. Taori, I. Gulrajani, T. Zhang, Y. Dubois, X. Li, C. Guestrin, P. Liang, and T. B. Hashimoto · 2023
Later among the works it cites.
Mindmap: Knowledge graph prompting sparks graph of thoughts in large language models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Retrieval-augmented generation for large language models: A survey
Y. Gao, Y. Xiong, X. Gao, K. Jia, J. Pan, Y. Bi, Y. Dai, J. Sun, and H. Wang · 2023
Cited alongside, same era.
Survey of hallucination in natural language generation
Z. Ji, N. Lee, R. Frieske, T. Yu, D. Su, Y. Xu, E. Ishii, Y. J. Bang, A. Madotto, and P. Fung · 2023
Cited alongside, same era.
Few-shot in-context learning for knowledge base question answering
T. Li, X. Ma, A. Zhuang, Y. Gu, Y. Su, and W. Chen
Cited in the paper.
Chain of knowledge: A framework for grounding large language models with structured knowledge bases
X. Li, R. Zhao, Y. K. Chia, B. Ding, L. Bing, S. Joty, and S. Poria
Cited in the paper.
Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge
Y. Li, Z. Li, K. Zhang, R. Dan, S. Jiang, and Y. Zhang
Cited in the paper.
Y. Wen, Z. Wang, and J. Sun · 2023
Later among the works it cites.
Unifying large language models and knowledge graphs: A roadmap
S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu · 2024
Closest in time.