Ashwin Kalyan
Ashwin Kalyan
Other namesAshwin Kalyan Vijayakumar
Allen Institute for Artificial Intelligence
Verified email at - Homepage
Cited by
Cited by
Diverse beam search: Decoding diverse solutions from neural sequence models
AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ...
arXiv preprint arXiv:1610.02424, 2016
Neural-guided deductive search for real-time program synthesis from examples
A Kalyan, A Mohta, O Polozov, D Batra, P Jain, S Gulwani
arXiv preprint arXiv:1804.01186, 2018
Learn to explain: Multimodal reasoning via thought chains for science question answering
P Lu, S Mishra, T Xia, L Qiu, KW Chang, SC Zhu, O Tafjord, P Clark, ...
Advances in Neural Information Processing Systems 35, 2507-2521, 2022
We are humor beings: Understanding and predicting visual humor
A Chandrasekaran, AK Vijayakumar, S Antol, M Bansal, D Batra, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Toxicity in chatgpt: Analyzing persona-assigned language models
A Deshpande, V Murahari, T Rajpurohit, A Kalyan, K Narasimhan
arXiv preprint arXiv:2304.05335, 2023
Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning
P Lu, L Qiu, KW Chang, YN Wu, SC Zhu, T Rajpurohit, P Clark, A Kalyan
arXiv preprint arXiv:2209.14610, 2022
Numglue: A suite of fundamental yet challenging mathematical reasoning tasks
S Mishra, A Mitra, N Varshney, B Sachdeva, P Clark, C Baral, A Kalyan
arXiv preprint arXiv:2204.05660, 2022
Sound-word2vec: Learning word representations grounded in sounds
AK Vijayakumar, R Vedantam, D Parikh
arXiv preprint arXiv:1703.01720, 2017
Lila: A unified benchmark for mathematical reasoning
S Mishra, M Finlayson, P Lu, L Tang, S Welleck, C Baral, T Rajpurohit, ...
arXiv preprint arXiv:2210.17517, 2022
Programming puzzles
T Schuster, A Kalyan, O Polozov, AT Kalai
arXiv preprint arXiv:2106.05784, 2021
Proknow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance
K Roy, M Gaur, M Soltani, V Rawte, A Kalyan, A Sheth
Frontiers in big Data 5, 1056728, 2023
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
AF Akyürek, E Akyürek, A Madaan, A Kalyan, P Clark, D Wijaya, ...
arXiv preprint arXiv:2305.08844, 2023
How much coffee was consumed during EMNLP 2019? fermi problems: A new reasoning challenge for AI
A Kalyan, A Kumar, A Chandrasekaran, A Sabharwal, P Clark
arXiv preprint arXiv:2110.14207, 2021
Learn from your neighbor: Learning multi-modal mappings from sparse annotations
A Kalyan, S Lee, A Kannan, D Batra
International Conference on Machine Learning, 2449-2458, 2018
Model-Advantage Optimization for Model-Based Reinforcement Learning
N Modhe, H Kamath, D Batra, A Kalyan
CoRR abs/2106.14080, 2021
Estimating multiple physical parameters from speech data
SB Kalluri, A Vijayakumar, D Vijayasenan, R Singh
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
Trainable decoding of sets of sequences for neural sequence models
A Kalyan, P Anderson, S Lee, D Batra
International Conference on Machine Learning, 3211-3221, 2019
Predicting $ Gamaka $ s—The Essential Embellishments in Karnatic Music
MR Rajan, D Vijayasenan, A Vijayakumar
IEEE Access 7, 175386-175395, 2019
Estimation of a violin source/filter model
JW Beauchamp, AK Vijayakumar
Journal of the Acoustical Society of America 137 (4_Supplement), 2405-2405, 2015
Anthropomorphization of AI: Opportunities and Risks
A Deshpande, T Rajpurohit, K Narasimhan, A Kalyan
arXiv preprint arXiv:2305.14784, 2023
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