Netcut: Real-time dnn inference using layer removal
Zandigohar, M.; Erdoğmuş, D.; and Schirner, G. 2021 · 2021
Later among the works it cites.
Do as I can, not as I say: Grounding language in robotic affordances
Original
Ahn, M.; Brohan, A.; Brown, N.; Chebotar, Y.; Cortes, O.; David, B.; Finn, C.; Gopalakrishnan, K.; Hausman, K.; Herzog, A.; et al. 2022 · 2022
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Palm: Scaling language modeling with pathways
Original
Chowdhery, A.; Narang, S.; Devlin, J.; Bosma, M.; Mishra, G.; Roberts, A.; Barham, P.; Chung, H. W.; Sutton, C.; Gehrmann, S.; et al. 2022 · 2022
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LLM. int8 (): 8-bit Matrix Multiplication for Transformers at Scale
Original
Dettmers, T.; Lewis, M.; Belkada, Y.; and Zettlemoyer, L. 2022 · 2022
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Language Model Cascades
Original
Dohan, D.; Xu, W.; Lewkowycz, A.; Austin, J.; Bieber, D.; Lopes, R. G.; Wu, Y.; Michalewski, H.; Saurous, R. A.; Sohl-dickstein, J.; et al. 2022 · 2022
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Jigsaw: large language models meet program synthesis
Jain, N.; Vaidyanath, S.; Iyer, A.; Natarajan, N.; Parthasarathy, S.; Rajamani, S.; and Sharma, R. 2022 · 2022
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Large Language Models are Zero-Shot Reasoners
Kojima, T.; Gu, S. S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y. 2022 · 2022
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Automatically Detecting Visual Bugs in HTML5< canvas> Games
Original
Macklon, F.; Taesiri, M. R.; Viggiato, M.; Antoszko, S.; Romanova, N.; Paas, D.; and Bezemer, C.-P. 2022 · 2022
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Training language models to follow instructions with human feedback
Original
Ouyang, L.; Wu, J.; Jiang, X.; Almeida, D.; Wainwright, C. L.; Mishkin, P.; Zhang, C.; Agarwal, S.; Slama, K.; Ray, A.; et al. 2022 · 2022
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Original
Srivastava, A.; Rastogi, A.; Rao, A.; Shoeb, A. A. M.; Abid, A.; Fisch, A.; Brown, A. R.; Santoro, A.; Gupta, A.; Garriga-Alonso, A.; et al. 2022 · 2022
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CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning
Taesiri, M. R.; Macklon, F.; and Bezemer, C.-P. 2022 · 2022
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ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
Tewel, Y.; Shalev, Y.; Schwartz, I.; and Wolf, L. 2022 · 2022
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Lamda: Language models for dialog applications
Original
Thoppilan, R.; De Freitas, D.; Hall, J.; Shazeer, N.; Kulshreshtha, A.; Cheng, H.-T.; Jin, A.; Bos, T.; Baker, L.; Du, Y.; et al. 2022 · 2022
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Using natural language processing techniques to improve manual test case descriptions
Viggiato, M.; Paas, D.; Buzon, C.; and Bezemer, C.-P. 2022b · 2022
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OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Wang, P.; Yang, A.; Men, R.; Lin, J.; Bai, S.; Li, Z.; Ma, J.; Zhou, C.; Zhou, J.; and Yang, H. 2022 · 2022
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Chain of thought prompting elicits reasoning in large language models
Original
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Chi, E.; Le, Q.; and Zhou, D. 2022 · 2022
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Opt: Open pre-trained transformer language models
Original
Zhang, S.; Roller, S.; Goyal, N.; Artetxe, M.; Chen, M.; Chen, S.; Dewan, C.; Diab, M.; Li, X.; Lin, X. V.; et al. 2022 · 2022
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