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Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update.
A coefficient of agreement for nominal scales
Jacob Cohen. 1960 · 1960
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Stanza: A python natural language processing toolkit for many human languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D Manning. 2020 · 2003
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A system for summarizing scientific topics starting from keywords
Rahul Jha, Amjad Abu-Jbara, and Dragomir R. Radev. 2013 · 2013
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MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, and Steffen Eger. 2019 · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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Bertscore: Evaluating text generation with bert
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The perils of using mechanical turk to evaluate open-ended text generation
Marzena Karpinska, Nader Akoury, and Mohit Iyyer. 2021 · 2021
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BARTScore: Evaluating generated text as text generation
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Diffuser: Efficient transformers with multi-hop attention diffusion for long sequences
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Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities
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Surfer100: Generating surveys from web resources, Wikipedia-style
Irene Li, Alex Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, and Dragomir Radev. 2022 · 2022
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Automatic survey generation based onposition closeness of key words
Xiaoping Sun and Hai Zhuge. 2022 · 2022
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On the portability of extractive question-answering systems on scientific papers to real-life application scenarios
Chyrine Tahri, Xavier Tannier, and Patrick Haouat. 2022 · 2022
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Characterizing attribution and fluency tradeoffs for retrieval-augmented large language models
Renat Aksitov, Chung-Ching Chang, David Reitter, Siamak Shakeri, and Yunhsuan Sung. 2023 · 2023
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Artificial intelligence in scientific writing: a friend or a foe?
Signe Altmäe, Alberto Sola-Leyva, and Andres Salumets. 2023 · 2023
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Summarizing, simplifying, and synthesizing medical evidence using gpt-3 (with varying success)
Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain J. Marshall, Junyi Jessy Li, and Byron C. Wallace. 2023 · 2023
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Beyond summarization: Designing ai support for real-world expository writing tasks
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Opportunities and challenges for chatgpt and large language models in biomedicine and health
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Can large language models be an alternative to human evaluations?
Cheng-Han Chiang and Hung-yi Lee. 2023 · 2023
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Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang. 2023 · 2023
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Can large language models provide useful feedback on research papers? a large-scale empirical analysis
Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Smith, Yian Yin, Daniel A McFarland, and James Zou. 2023 · 2023
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G-eval: NLG evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023a · 2023
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OpenAI. 2023 · 2023
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In-context retrieval-augmented language models
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G-eval: Nlg evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023b
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Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, Xiuying Chen, Yifan Yang, Qingyu Chen, Won Kim, Donald C. Comeau, Rezarta Islamaj, Aadit Kapoor, Xin Gao, and Zhiyong Lu. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
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Scibench: Evaluating college-level scientific problem-solving abilities of large language models
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Leandojo: Theorem proving with retrieval-augmented language models
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Llm calibration and automatic hallucination detection via pareto optimal self-supervision
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Towards a unified multi-dimensional evaluator for text generation
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