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In the continuously advancing AI landscape, crafting context-rich and meaningful responses via Large Language Models (LLMs) is essential.
Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R. Radev. 2004 · 2004
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TextRank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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A syntactic tree matching approach to finding similar questions in community-based qa services
Kai Wang, Zhaoyan Ming, and Tat-Seng Chua. 2009 · 2009
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Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions
Kavita Ganesan, ChengXiang Zhai, and Jiawei Han. 2010 · 2010
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Probabilistic tree-edit models with structured latent variables for textual entailment and question answering
Mengqiu Wang and Christopher Manning. 2010 · 2010
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Learning to rank short text pairs with convolutional deep neural networks
Aliaksei Severyn and Alessandro Moschitti. 2015 · 2015
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A long short-term memory model for answer sentence selection in question answering
Di Wang and Eric Nyberg. 2015 · 2015
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Cícero Nogueira dos Santos, Ming Tan, Bing Xiang, and Bowen Zhou. 2016 · 2016
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Improved representation learning for question answer matching
Ming Tan, Cicero dos Santos, Bing Xiang, and Bowen Zhou. 2016 · 2016
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Experiments with convolutional neural network models for answer selection
Jinfeng Rao, Hua He, and Jimmy Lin. 2017 · 2017
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Automatic summarization of api reviews
Gias Uddin and Foutse Khomh. 2017 · 2017
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Answerbot: Automated generation of answer summary to developers’ technical questions
Bowen Xu, Zhenchang Xing, Xin Xia, and David Lo. 2017 · 2017
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Answerbot: An answer summary generation tool based on stack overflow
Liang Cai, Haoye Wang, Bowen Xu, Qiao Huang, Xin Xia, David Lo, and Zhenchang Xing. 2019 · 2019
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Joint learning of answer selection and answer summary generation in community question answering
Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, and Ying Shen. 2019 · 2019
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Essential sentences for navigating stack overflow answers
Sarah Nadi and Christoph Treude. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Realm: Retrieval-augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2020
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Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2020
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Biased TextRank: Unsupervised graph-based content extraction
Ashkan Kazemi, Verónica Pérez-Rosas, and Rada Mihalcea. 2020 · 2020
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How much knowledge can you pack into the parameters of a language model?
Adam Roberts, Colin Raffel, and Noam Shazeer. 2020 · 2020
Cited alongside, same era.
Personalized pagerank to a target node, revisited
Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, and Zengfeng Huang. 2020 · 2020
Cited alongside, same era.
Coarse-to-fine query focused multi-document summarization
Yumo Xu and Mirella Lapata. 2020 · 2020
Cited alongside, same era.
Bertscore: Evaluating text generation with bert
Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Cited alongside, same era.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Cited alongside, same era.
Joint autoregressive and graph models for software and developer social networks
Information retrieval meets large language models: A strategic report from chinese ir community
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, and Xiaofei Zhu. 2023 · 2023
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Stackllama: An rl fine-tuned llama model for stack exchange question and answering
Edward Beeching, Younes Belkada, Kashif Rasul, Lewis Tunstall, Leandro von Werra, Nazneen Rajani, and Nathan Lambert. 2023 · 2023
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Exploring the potential of large language models (llms) in learning on graphs
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, and Jiliang Tang. 2023 · 2023
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, and Soumen Chakrabarti. 2021 · 2021
Cited alongside, same era.
Factsumm: Factual consistency scorer for abstractive summarization
Hoon Heo. 2021 · 2021
Cited alongside, same era.
Answer generation for retrieval-based question answering systems
Chao-Chun Hsu, Eric Lind, Luca Soldaini, and Alessandro Moschitti. 2021 · 2021
Cited alongside, same era.
REBEL: Relation extraction by end-to-end language generation
Pere-Lluís Huguet Cabot and Roberto Navigli. 2021 · 2021
Cited alongside, same era.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2021 · 2021
Cited alongside, same era.
Co2sum: Contrastive learning for factual-consistent abstractive summarization
Wei Liu, Huanqin Wu, Wenjing Mu, Zhen Li, Tao Chen, and Dan Nie. 2021 · 2021
Cited alongside, same era.
Leveraging unsupervised learning to summarize APIs discussed in stack overflow
AmirHossein Naghshzan, Latifa Guerrouj, and Olga Baysal. 2021 · 2021
Cited alongside, same era.
Is this bug severe? a text-cum-graph based model for bug severity prediction
Rima Hazra, Arpit Dwivedi, and Animesh Mukherjee. 2023 · 2023
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Textbooks are all you need ii: phi-1.5 technical report
Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, Allie Del Giorno, Suriya Gunasekar, and Yin Tat Lee. 2023 · 2023
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Long Lian, Boyi Li, Adam Yala, and Trevor Darrell. 2023 · 2023
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Structured knowledge grounding for question answering
Yujie Lu, Siqi Ouyang, and Kairui Zhou. 2023 · 2023
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Sources of hallucination by large language models on inference tasks
Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson, and Mark Steedman. 2023 · 2023
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Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, and Ji-Rong Wen. 2023 · 2023
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Introducing mpt-7b: A new standard for open-source, commercially usable llms
MosaicML NLP Team. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
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C-pack: Packaged resources to advance general chinese embedding
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighoff. 2023 · 2023
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Enhancing paraphrase question generation with prior knowledge
Jiayuan Xie, Wenhao Fang, Qingbao Huang, Yi Cai, and Tao Wang. 2023 · 2023
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Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, and Anshumali Shrivastava. 2023 · 2023
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Techsumbot: A stack overflow answer summarization tool for technical query
Chengran Yang, Bowen Xu, Jiakun Liu, and David Lo. 2023a · 2023
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Augmentation-adapted retriever improves generalization of language models as generic plug-in
Zichun Yu, Chenyan Xiong, Shi Yu, and Zhiyuan Liu. 2023 · 2023
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Universalner: Targeted distillation from large language models for open named entity recognition
Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, and Hoifung Poon. 2023 · 2023
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