Seuraa
Soumya Sanyal
Soumya Sanyal
University of Southern California
Vahvistettu sähköpostiosoite verkkotunnuksessa usc.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Composition-based multi-relational graph convolutional networks
S Vashishth*, S Sanyal*, V Nitin, P Talukdar
Proceedings of International Conference on Learning Representations 2020 (ICLR), 2019
11542019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
S Vashishth*, S Sanyal*, V Nitin, N Agrawal, P Talukdar
Proceedings of Thiry-Fourth AAAI conference on Artificial Intelligence (AAAI …, 2019
4272019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
E Ranjan, S Sanyal, PP Talukdar
3852020
Faith and fate: Limits of transformers on compositionality
N Dziri, X Lu, M Sclar, XL Li, L Jiang, BY Lin, S Welleck, P West, ...
Advances in Neural Information Processing Systems 36, 2024
3262024
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang
arXiv preprint arXiv:2209.10063, 2022
2892022
A Reevaluation of Knowledge Graph Completion Methods
Z Sun, S Vashishth, S Sanyal, P Talukdar, Y Yang
arXiv preprint arXiv:1911.03903, 2019
1952019
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
S Sanyal, J Balachandran, N Yadati, A Kumar, P Rajagopalan, S Sanyal, ...
arXiv preprint arXiv:1811.05660, 2018
662018
ProteinGCN: Protein model quality assessment using graph convolutional networks
S Sanyal, I Anishchenko, A Dagar, D Baker, P Talukdar
URL https://doi. org/10.1101/2020.04 6, 388, 2020
592020
Discretized Integrated Gradients for Explaining Language Models
S Sanyal, X Ren
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
582021
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
S Sanyal, H Singh, X Ren
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
372022
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
F Brahman, C Bhagavatula, V Pyatkin, JD Hwang, XL Li, HJ Arai, ...
The Twelfth International Conference on Learning Representations, 2023
18*2023
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners
S Sanyal, Z Liao, X Ren
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
17*2022
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
S Sanyal, Y Xu, S Wang, Z Yang, R Pryzant, W Yu, C Zhu, X Ren
arXiv preprint arXiv:2212.09282, 2022
102022
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
A Chan, J Xu, B Long, S Sanyal, T Gupta, X Ren
Advances in Neural Information Processing Systems 34, 2021
10*2021
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
S Sanyal, T Xiao, J Liu, W Wang, X Ren
Findings of the Association for Computational Linguistics: ACL 2024, 2024
7*2024
Self-contradictory reasoning evaluation and detection
Z Liu, S Sanyal, I Lee, Y Du, R Gupta, Y Liu, J Zhao
Findings of the Association for Computational Linguistics: EMNLP 2024, 3725-3742, 2024
4*2024
Potential energy surface prediction of Alumina polymorphs using graph neural network
S Sanyal, AK Sagotra, N Kumar, S Rathi, M Krishna, N Somayajula, ...
arXiv preprint arXiv:2301.12059, 2023
12023
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