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This paper reviews the state-of-the-art of large language models (LLM) architectures and strategies for "complex" question-answering with a focus on hybrid architectures.
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 1904
Earlier work this paper cites.
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. 2019b · 1907
Earlier work this paper cites.
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul Christiano, and Geoffrey Irving. 2020 · 1909
Earlier work this paper cites.
KnowIT VQA: Answering Knowledge-Based Questions about Videos
Noa Garcia, Mayu Otani, Chenhui Chu, and Yuta Nakashima. 2019 · 1910
Earlier work this paper cites.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
Earlier work this paper cites.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 1910
Earlier work this paper cites.
Temporal Reasoning via Audio Question Answering
Haytham M. Fayek and Justin Johnson. 2019 · 1911
Earlier work this paper cites.
Florian Pfisterer, Janek Thomas, and Bernd Bischl. 2019 · 1911
Earlier work this paper cites.
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot. 2020 · 1912
Earlier work this paper cites.
ELIZA—a Computer Program for the Study of Natural Language Communication between Man and Machine
Joseph Weizenbaum. 1966 · 1966
Earlier work this paper cites.
OPENING THE BLACK BOX OF ‘RELEVANCE’
CARLOS A. CUADRA and ROBERT V. KATTER. 1967 · 1967
Earlier work this paper cites.
Memory, Knowledge & the Answering of Questions.. In
Donald Norman. 1972 · 1972
Earlier work this paper cites.
Learning to Learn: Introduction and Overview
Sebastian Thrun and Lorien Pratt. 1998 · 1998
Earlier work this paper cites.
Unsupervised Question Decomposition for Question Answering (EMNLP 2020)
Ethan Perez, Patrick Lewis, Wen-tau Yih, Kyunghyun Cho, and Douwe Kiela. 2020 · 2002
Earlier work this paper cites.
The Cost of Training NLP Models: A Concise Overview
Or Sharir, Barak Peleg, and Yoav Shoham. 2020 · 2004
Earlier work this paper cites.
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, and Michal Valko. 2020 · 2006
Earlier work this paper cites.
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, and Ming Zhou. 2021 · 2007
Earlier work this paper cites.
Inverse Reinforcement Learning with Natural Language Goals
Li Zhou and Kevin Small. 2020 · 2008
Earlier work this paper cites.
Building Watson: An Overview of the DeepQA Project
David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya Kalyanpur, Adam Lally, J William Murdock, Eric Nyberg, John Prager, Nico Schlaefer, and Christopher Welty. 2010 · 2010
Earlier work this paper cites.
TextHide: Tackling Data Privacy in Language Understanding Tasks
Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, and Sanjeev Arora. 2020 · 2010
Earlier work this paper cites.
Detecting Hallucinated Content in Conditional Neural Sequence Generation
Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Paco Guzman, Luke Zettlemoyer, and Marjan Ghazvininejad. 2021 · 2011
Earlier work this paper cites.
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, and Lei Li. 2022b · 2012
Earlier work this paper cites.
Neural Module Networks. In
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein. 2016 · 2016
Earlier work this paper cites.
MovieQA: Understanding Stories in Movies through Question-Answering
Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, and Sanja Fidler. 2016 · 2016
Earlier work this paper cites.
DeepStory: Video Story QA by Deep Embedded Memory Networks
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, and Byoung-Tak Zhang. 2017 · 2017
Earlier work this paper cites.
Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron Courville, and Christopher Pal. 2017 · 2017
Earlier work this paper cites.
MarioQA: Answering Questions by Watching Gameplay Videos
Jonghwan Mun, Paul Hongsuck Seo, Ilchae Jung, and Bohyung Han. 2017 · 2017
Earlier work this paper cites.
Reinforcement Learning, Second Edition: An Introduction
Richard S. Sutton and Andrew G. Barto. 2018 · 2018
Earlier work this paper cites.
Evaluating Question Answering Evaluation. In
Anthony Chen, Gabriel Stanovsky, Sameer Singh, and Matt Gardner. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
TVQA: Localized, Compositional Video Question Answering
Jie Lei, Licheng Yu, Mohit Bansal, and Tamara L. Berg. 2019 · 2019
Earlier work this paper cites.
Identifying Fluently Inadequate Output in Neural & Statistical Machine Translation. In
Marianna Martindale, Marine Carpuat, Kevin Duh, and Paul McNamee. 2019 · 2019
Earlier work this paper cites.
Language Models Are Few-Shot Learners. In
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D 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 Ziegler, Jeffrey Wu, Clemens Winter, Chris 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
Earlier work this paper cites.
TutorialVQA: Question Answering Dataset for Tutorial Videos. In
Anthony Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Zhe Wang, and Doo Soon Kim. 2020 · 2020
Earlier work this paper cites.
Depth-Adaptive Transformer. In
Maha Elbayad, Jiatao Gu, Edouard Grave, and Michael Auli. 2020 · 2020
Earlier work this paper cites.
Temporal Reasoning via Audio Question Answering
Haytham M. Fayek and Justin Johnson. 2020 · 2020
Earlier work this paper cites.
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. In
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, and Peter Szolovits. 2020 · 2020
Earlier work this paper cites.
Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning
Diwakar Mahajan, Ananya Poddar, Jennifer J. Liang, Yen-Ting Lin, John M. Prager, Parthasarathy Suryanarayanan, Preethi Raghavan, and Ching-Huei Tsou. 2020 · 2020
Earlier work this paper cites.
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer. In
Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, and Sebastian Ruder. 2020 · 2020
Earlier work this paper cites.
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. In
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, and Douwe Kiela. 2021 · 2021
Earlier work this paper cites.
WebQA: A Multimodal Multihop NeurIPS Challenge. In
Yingshan Chang and Yonatan Bisk. 2022 · 2021
Earlier work this paper cites.
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. In
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, and Xueqi Cheng. 2021 · 2021
Earlier work this paper cites.
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization
Prafulla Kumar Choubey, Jesse Vig, Wenhao Liu, and Nazneen Rajani. 2021 · 2021
Earlier work this paper cites.
Training Verifiers to Solve Math Word Problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman. 2021 · 2021
Earlier work this paper cites.
Explaining Answers with Entailment Trees. In
Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, and Peter Clark. 2021 · 2021
Earlier work this paper cites.
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, and Matt Gardner. 2021 · 2021
Earlier work this paper cites.
DEMix Layers: Disentangling Domains for Modular Language Modeling
Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, and Luke Zettlemoyer. 2021 · 2021
Earlier work this paper cites.
On the Effectiveness of Adapter-Based Tuning for Pretrained Language Model Adaptation. In
Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jiawei Low, Lidong Bing, and Luo Si. 2021 · 2021
Earlier work this paper cites.
LoRA: Low-Rank Adaptation of Large Language Models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
Earlier work this paper cites.
AMMUS : Survey of Transformer-Based Pretrained Models in NLP
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, and Sivanesan Sangeetha. 2021 · 2021
Earlier work this paper cites.
Learning to Solve Complex Tasks by Talking to Agents
Tushar Khot, Kyle Richardson, Daniel Khashabi, and Ashish Sabharwal. 2021 · 2021
Earlier work this paper cites.
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
Earlier work this paper cites.
MAUVE: Measuring the Gap Between Neural Text and Human Text Using Divergence Frontiers
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, and Zaid Harchaoui. 2021 · 2021
Earlier work this paper cites.
QuestEval: Summarization Asks for Fact-based Evaluation. In
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, and Patrick Gallinari. 2021 · 2021
Earlier work this paper cites.
MultiModalQA: Complex Question Answering over Text, Tables and Images
Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, and Jonathan Berant. 2021 · 2021
Earlier work this paper cites.
Using Bloom’s Taxonomy to Classify Question Complexity. In
Sabine Ullrich and Michaela Geierhos. 2021 · 2021
Earlier work this paper cites.
Sarah Wiegreffe and Ana Marasović. 2021 · 2021
Earlier work this paper cites.
One Teacher Is Enough? Pre-trained Language Model Distillation from Multiple Teachers
Chuhan Wu, Fangzhao Wu, and Yongfeng Huang. 2021 · 2021
Earlier work this paper cites.
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan, Graham Neubig, and Pengfei Liu. 2021 · 2021
Earlier work this paper cites.
Automatic Evaluation and Moderation of Open-domain Dialogue Systems
Chen Zhang, João Sedoc, Luis Fernando D’Haro, Rafael Banchs, and Alexander Rudnicky. 2021 · 2021
Earlier work this paper cites.
Prompting Is Programming: Query Language for Large Language Models
Luca Beurer-Kellner, Marc Fischer, and Martin Vechev. 2022 · 2022
Earlier work this paper cites.
Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models
BIG et al. 2022 · 2022
Earlier work this paper cites.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience et al. 2022 · 2022
Earlier work this paper cites.
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
Cody Blakeney, Jessica Zosa Forde, Jonathan Frankle, Ziliang Zong, and Matthew L. Leavitt. 2022 · 2022
Earlier work this paper cites.
Improving Language Models by Retrieving from Trillions of Tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, and Laurent Sifre. 2022 · 2022
Earlier work this paper cites.
The Effects of Data Quality on Machine Learning Performance
Lukas Budach, Moritz Feuerpfeil, Nina Ihde, Andrea Nathansen, Nele Noack, Hendrik Patzlaff, Felix Naumann, and Hazar Harmouch. 2022 · 2022
Earlier work this paper cites.
Aydar Bulatov, Yuri Kuratov, and Mikhail S. Burtsev. 2022 · 2022
Earlier work this paper cites.
Knowledge-Grounded Reinforcement Learning
Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, and Michael C. Yip. 2022 · 2022
Earlier work this paper cites.
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners
Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, and Taeuk Kim. 2022 · 2022
Earlier work this paper cites.
Scaling Instruction-Finetuned Language Models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
Earlier work this paper cites.
Faithful Reasoning Using Large Language Models
Antonia Creswell and Murray Shanahan. 2022 · 2022
Earlier work this paper cites.
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell, Murray Shanahan, and Irina Higgins. 2022 · 2022
Earlier work this paper cites.
The Expertise Problem: Learning from Specialized Feedback
Oliver Daniels-Koch and Rachel Freedman. 2022 · 2022
Earlier work this paper cites.
NL-Augmenter: A Framework for Task-Sensitive NL Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Shrivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicolas Roberts, Juan Diego Rodriguez, Claude Roux, Vasconcellos P. H. S., Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib N. Shamsi, Xudong Shen, Haoyue Shi, Yiwen Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T, A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Gloria Wang, Zijie J. Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmański, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, and Yue Zhang. 2022 · 2022
Earlier work this paper cites.
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, and Maosong Sun. 2022 · 2022
Earlier work this paper cites.
David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-dickstein, Kevin Murphy, and Charles Sutton. 2022 · 2022
Earlier work this paper cites.
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Earlier work this paper cites.
Compositional Semantic Parsing with Large Language Models
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