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Large language models (LLMs) are transforming the ways the general public accesses and consumes information.
An information-theoretic definition of similarity
Dekang Lin · 1998
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Simfinder: A flexible clustering tool for summarization
V HATZIVASSILOGLOU · 2001
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Latent dirichlet allocation
David M Blei, Andrew Y Ng, and Michael I Jordan · 2003
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Sharing clusters among related groups: Hierarchical dirichlet processes
Yee Teh, Michael Jordan, Matthew Beal, and David Blei · 2004
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N-gram similarity and distance
Grzegorz Kondrak · 2005
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Evaluating wordnet-based measures of lexical semantic relatedness
Alexander Budanitsky and Graeme Hirst · 2006
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On achieving and evaluating language-independence in nlp
Emily M Bender · 2011
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Domain and function: A dual-space model of semantic relations and compositions
Peter D Turney · 2012
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Simlex-999: Evaluating semantic models with (genuine) similarity estimation
Felix Hill, Roi Reichart, and Anna Korhonen · 2015
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Marian: Fast neural machine translation in c++
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, et al · 2018
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A hierarchical attention retrieval model for healthcare question answering
Ming Zhu, Aman Ahuja, Wei Wei, and Chandan K Reddy · 2019
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Bridging the gap between consumers’ medication questions and trusted answers
Asma Ben Abacha, Yassine Mrabet, Mark Sharp, Travis R Goodwin, Sonya E Shooshan, and Dina Demner-Fushman · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Xlnet: generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V Le · 2019
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Dr google will see you now: Search giant wants to cash in on your medical queries, 2019
Margy Murphy · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi · 2020
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The state and fate of linguistic diversity and inclusion in the nlp world
Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, and Monojit Choudhury · 2020
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Word shape matters: Robust machine translation with visual embedding
Haohan Wang, Peiyan Zhang, and Eric P Xing · 2020
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Modeling protein using large-scale pretrain language model
Yijia Xiao, Jiezhong Qiu, Ziang Li, Chang-Yu Hsieh, and Jie Tang · 2021
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A fine-grained analysis of bertscore
Michael Hanna and Ondřej Bojar · 2021
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Icmrec: Item cluster-wise multi-objective optimization for unbiased recommendation
Yule Wang, Xin Xin, Yue Ding, Yunzhe Li, and Dong Wang · 2021
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Overcoming language disparity in online content classification with multimodal learning
Gaurav Verma, Rohit Mujumdar, Zijie Wang, Munmun De Choudhury, and Srijan Kumar · 2022
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Biomedical question answering: a survey of approaches and challenges
Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, and Sheng Yu · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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A survey of knowledge graph reasoning on graph types: Static, dynamic, and multimodal
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, and Fuchun Sun · 2022
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Curriculum contrastive learning for fake news detection
Jiachen Ma, Yong Liu, Meng Liu, and Meng Han · 2022
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Towards fine-grained reasoning for fake news detection
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, and Xing Xie · 2022
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Reinforcement subgraph reasoning for fake news detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, and Xing Xie · 2022
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Glm: General language model pretraining with autoregressive blank infilling
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang · 2022
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Can large language models reason about medical questions?
Valentin Liévin, Christoffer Egeberg Hother, and Ole Winther · 2022
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Designing for responsible trust in ai systems: A communication perspective
Q Vera Liao and S Shyam Sundar · 2022
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Evidence-aware fake news detection with graph neural networks
Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, and Liang Wang · 2022
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Folkscope: Intention knowledge graph construction for discovering e-commerce commonsense
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, and Bing Yin · 2022
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Code recommendation for open source software developers
Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, and Wei Wang · 2022
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Teaching large language models to self-debug
Xinyun Chen, Maxwell Lin, Nathanael Schärli, and Denny Zhou · 2023
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Llm self defense: By self examination, llms know they are being tricked
Alec Helbling, Mansi Phute, Matthew Hull, and Duen Horng Chau · 2023
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GLM-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, and Jie Tang · 2023
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Foundation model-oriented robustness: Robust image model evaluation with pretrained models
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, and Haohan Wang · 2023
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Towards understanding in-context learning with contrastive demonstrations and saliency maps
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Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, et al · 2023
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Large language models can be good privacy protection learners
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, et al · 2023
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Mode approximation makes good vision-language prompts
Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, and Qi Tian · 2023
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Attacking fake news detectors via manipulating news social engagement
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S Yu, and Kai Shu · 2023
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Chatgpt, 2023
OpenAI · 2023
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OpenAI · 2023
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Bard, 2023
Google · 2023
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Zongxia Li, Paiheng Xu, Fuxiao Liu, and Hyemi Song · 2023
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Aligning large multi-modal model with robust instruction tuning
Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, and Lijuan Wang · 2023
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al · 2023
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Chatgpt evaluation on sentence level relations: A focus on temporal, causal, and discourse relations
Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, and Yangqiu Song · 2023
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Benchmarking foundation models with language-model-as-an-examiner
Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, et al · 2023
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Prototypical fine-tuning: Towards robust performance under varying data sizes
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, and Xing Xie · 2023
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Semi-offline reinforcement learning for optimized text generation
Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, and Rui Yan · 2023
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Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, et al · 2023
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Fairness in graph machine learning: Recent advances and future prospectives
Yushun Dong, Oyku Deniz Kose, Yanning Shen, and Jundong Li · 2023
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Interpreting unfairness in graph neural networks via training node attribution
Yushun Dong, Song Wang, Jundong Ma, Ninghao Liu, and Jundong Li · 2023
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Fairness in graph mining: A survey
Yushun Dong, Jing Ma, Song Wang, Chen Chen, and Jundong Li · 2023
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Reliant: Fair knowledge distillation for graph neural networks
Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, and Jundong Li · 2023
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Advances in ai for safety, equity, and well-being on web and social media: detection, robustness, attribution, and mitigation
Srijan Kumar · 2023
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Adversarial robustness of prompt-based few-shot learning for natural language understanding
Venkata Prabhakara Sarath Nookala, Gaurav Verma, Subhabrata Mukherjee, and Srijan Kumar · 2023
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Large language models: what is driving the hype behind llm’s in healthcare?, 2023
Lloyd Price · 2023
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Chatgpt utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns
Malik Sallam · 2023
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Everyone speaks english, don’t they?, 2023
Chris Lyne · 2023
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Chatlaw: Open-source legal large language model with integrated external knowledge bases
Jiaxi Cui, Zongjian Li, Yang Yan, Bohua Chen, and Li Yuan · 2023
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Fin-fact: A benchmark dataset for multimodal financial fact checking and explanation generation
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Predicting information pathways across online communities
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, and Srijan Kumar · 2023
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Localizing in-domain adaptation of transformer-based biomedical language models
Tommaso Mario Buonocore, Claudio Crema, Alberto Redolfi, Riccardo Bellazzi, and Enea Parimbelli · 2023
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Towards massively multi-domain multilingual readability assessment
Tarek Naous, Michael J Ryan, Mohit Chandra, and Wei Xu · 2023
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Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, Laura Gutierrez, Ting Fang Tan, and Daniel Shu Wei Ting · 2023
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Performance of chatgpt on usmle: Potential for ai-assisted medical education using large language models
Tiffany H Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al · 2023
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Trialling a large language model (chatgpt) in general practice with the applied knowledge test: observational study demonstrating opportunities and limitations in primary care
Arun James Thirunavukarasu, Refaat Hassan, Shathar Mahmood, Rohan Sanghera, Kara Barzangi, Mohanned El Mukashfi, and Sachin Shah · 2023
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Chatgpt can finally access the internet in real time, but there’s a catch, 2023
Sabrina Ortiz · 2023
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Google translate, 2023
Google Translate · 2023
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