Search Results - "Shyam, Pranav"

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities by Chen, Lichang, Hu, Hexiang, Zhang, Mingda, Chen, Yiwen, Wang, Zifeng, Li, Yandong, Shyam, Pranav, Zhou, Tianyi, Huang, Heng, Yang, Ming-Hsuan, Gong, Boqing

“…We introduce OmnixR, an evaluation suite designed to benchmark SoTA Omni-modality Language Models, such as GPT-4o and Gemini. Evaluating OLMs, which integrate…”
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Model-Based Active Exploration by Shyam, Pranav, Jaśkowski, Wojciech, Gomez, Faustino

“…Efficient exploration is an unsolved problem in Reinforcement Learning which is usually addressed by reactively rewarding the agent for fortuitously…”
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models by Nichol, Alex, Dhariwal, Prafulla, Ramesh, Aditya, Shyam, Pranav, Mishkin, Pamela, McGrew, Bob, Sutskever, Ilya, Chen, Mark

“…Diffusion models have recently been shown to generate high-quality synthetic images, especially when paired with a guidance technique to trade off diversity…”
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Attentive Recurrent Comparators by Shyam, Pranav, Gupta, Shubham, Dukkipati, Ambedkar

“…Rapid learning requires flexible representations to quickly adopt to new evidence. We develop a novel class of models called Attentive Recurrent Comparators…”
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Unsupervised Neural Machine Translation with Generative Language Models Only by Han, Jesse Michael, Babuschkin, Igor, Edwards, Harrison, Neelakantan, Arvind, Xu, Tao, Polu, Stanislas, Ray, Alex, Shyam, Pranav, Ramesh, Aditya, Radford, Alec, Sutskever, Ilya

“…We show how to derive state-of-the-art unsupervised neural machine translation systems from generatively pre-trained language models. Our method consists of…”
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Training Agents using Upside-Down Reinforcement Learning by Srivastava, Rupesh Kumar, Shyam, Pranav, Mutz, Filipe, Jaśkowski, Wojciech, Schmidhuber, Jürgen

“…We develop Upside-Down Reinforcement Learning (UDRL), a method for learning to act using only supervised learning techniques. Unlike traditional algorithms,…”
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Text and Code Embeddings by Contrastive Pre-Training by Neelakantan, Arvind, Xu, Tao, Puri, Raul, Radford, Alec, Han, Jesse Michael, Tworek, Jerry, Yuan, Qiming, Tezak, Nikolas, Kim, Jong Wook, Hallacy, Chris, Heidecke, Johannes, Shyam, Pranav, Power, Boris, Nekoul, Tyna Eloundou, Sastry, Girish, Krueger, Gretchen, Schnurr, David, Such, Felipe Petroski, Hsu, Kenny, Thompson, Madeleine, Khan, Tabarak, Sherbakov, Toki, Jang, Joanne, Welinder, Peter, Weng, Lilian

“…Text embeddings are useful features in many applications such as semantic search and computing text similarity. Previous work typically trains models…”
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Language Models are Few-Shot Learners by Brown, Tom B, Mann, Benjamin, Ryder, Nick, Subbiah, Melanie, Kaplan, Jared, Dhariwal, Prafulla, Neelakantan, Arvind, Shyam, Pranav, Sastry, Girish, Askell, Amanda, Agarwal, Sandhini, Herbert-Voss, Ariel, Krueger, Gretchen, Henighan, Tom, Child, Rewon, Ramesh, Aditya, Ziegler, Daniel M, Wu, Jeffrey, Winter, Clemens, Hesse, Christopher, Chen, Mark, Sigler, Eric, Litwin, Mateusz, Gray, Scott, Chess, Benjamin, Clark, Jack, Berner, Christopher, McCandlish, Sam, Radford, Alec, Sutskever, Ilya, Amodei, Dario

“…Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific…”
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Artificial Intelligence for Prosthetics - challenge solutions by Kidziński, Łukasz, Ong, Carmichael, Mohanty, Sharada Prasanna, Hicks, Jennifer, Carroll, Sean F, Zhou, Bo, Zeng, Hongsheng, Wang, Fan, Lian, Rongzhong, Tian, Hao, Jaśkowski, Wojciech, Andersen, Garrett, Lykkebø, Odd Rune, Toklu, Nihat Engin, Shyam, Pranav, Srivastava, Rupesh Kumar, Kolesnikov, Sergey, Hrinchuk, Oleksii, Pechenko, Anton, Ljungström, Mattias, Wang, Zhen, Hu, Xu, Hu, Zehong, Qiu, Minghui, Huang, Jun, Shpilman, Aleksei, Sosin, Ivan, Svidchenko, Oleg, Malysheva, Aleksandra, Kudenko, Daniel, Rane, Lance, Bhatt, Aditya, Wang, Zhengfei, Qi, Penghui, Yu, Zeyang, Peng, Peng, Yuan, Quan, Li, Wenxin, Tian, Yunsheng, Yang, Ruihan, Ma, Pingchuan, Khadka, Shauharda, Majumdar, Somdeb, Dwiel, Zach, Liu, Yinyin, Tumer, Evren, Watson, Jeremy, Salathé, Marcel, Levine, Sergey, Delp, Scott

“…In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a…”
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