| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR, 2022 | 868 | 2022 |
| A comprehensive guide to bayesian convolutional neural network with variational inference K Shridhar, F Laumann, M Liwicki Masters Thesis at TU Kaiserslautern, 2019 | 239 | 2019 |
| Distilling reasoning capabilities into smaller language models K Shridhar, A Stolfo, M Sachan ACL 2023 (Findings), 2022 | 111* | 2022 |
| Uncertainty estimations by softplus normalization in bayesian convolutional neural networks with variational inference K Shridhar, F Laumann, M Liwicki arXiv preprint arXiv:1806.05978, 2018 | 105 | 2018 |
| ProbAct: A Probabilistic Activation Function for Deep Neural Networks K Shridhar, J Lee, H Hayashi, BK Iwana, S Kang, S Uchida NeurIPS 2020 Workshop OPT, 2019 | 43 | 2019 |
| Indic-transformers: An analysis of transformer language models for indian languages K Jain, A Deshpande, K Shridhar, F Laumann, A Dash arXiv preprint arXiv:2011.02323, 2020 | 39 | 2020 |
| Subword semantic hashing for intent classification on small datasets K Shridhar, A Dash, A Sahu, GG Pihlgren, P Alonso, V Pondenkandath, ... 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 39 | 2019 |
| A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models A Stolfo, Z Jin, K Shridhar, B Schölkopf, M Sachan ACL 2023, 2022 | 38 | 2022 |
| HyperEmbed: Tradeoffs between resources and performance in NLP tasks with hyperdimensional computing enabled embedding of n-gram statistics P Alonso*, K Shridhar*, D Kleyko*, E Osipov, M Liwicki 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 25 | 2021 |
| Automatic Generation of Socratic Subquestions for Teaching Math Word Problems K Shridhar, J Macina, M El-Assady, T Sinha, M Kapur, M Sachan EMNLP 2022, 2022 | 24 | 2022 |
| End to end binarized neural networks for text classification K Shridhar, H Jain, A Agarwal, D Kleyko Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language …, 2020 | 22 | 2020 |
| Scaling within document coreference to long texts R Thirukovalluru, N Monath, K Shridhar, M Zaheer, M Sachan, ... ACL 2021 (Findings), 3921-3931, 2021 | 19 | 2021 |
| One to rule them all: Towards joint indic language hate speech detection M Bhatia, TS Bhotia, A Agarwal, P Ramesh, S Gupta, K Shridhar, ... arXiv preprint arXiv:2109.13711, 2021 | 18 | 2021 |
| Rule based bots vs AI bots K Shridhar Medium. com, 2017 | 16* | 2017 |
| The ART of LLM Refinement: Ask, Refine, and Trust K Shridhar, K Sinha, A Cohen, T Wang, P Yu, R Pasunuru, M Sachan, ... NAACL 2024 Oral; ICLR 24 workshop LLM Agents, 2023 | 10 | 2023 |
| Holodeck: Language guided generation of 3d embodied ai environments Y Yang, FY Sun, L Weihs, E VanderBilt, A Herrasti, W Han, J Wu, N Haber, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| How Close Are Chatbots to Passing the Turing Test? K Shridhar Chatbots Magazine, 2017 | 7 | 2017 |
| Author Profiling using Semantic and Syntactic Features: Notebook for PAN at CLEF 2019 G Kovács, V Balogh, P Mehta, K Shridhar, P Alonso, M Liwicki szte, 2019 | 6* | 2019 |
| Translational equivariance in kernelizable attention M Horn, K Shridhar, E Groenewald, PFM Baumann arXiv preprint arXiv:2102.07680, 2021 | 5 | 2021 |
| Screws: A modular framework for reasoning with revisions K Shridhar, H Jhamtani, H Fang, B Van Durme, J Eisner, P Xia arXiv preprint arXiv:2309.13075, 2023 | 3 | 2023 |
Marcus LiwickiLuleå University of Technology, EISLAB, Machine Learning, Sweden在 ltu.se 的电子邮件经过验证
