Soumya Sanyal

According to our database, Soumya Sanyal authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification.

Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren

CoRR, 2024

2023

SCORE: A framework for Self-Contradictory Reasoning Evaluation.

Ziyi Liu, Isabelle Lee, Yongkang Du, Soumya Sanyal, Jieyu Zhao

CoRR, 2023

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.

Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generate rather than Retrieve: Large Language Models are Strong Context Generators.

Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.

Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning.

Soumya Sanyal, Zeyi Liao, Xiang Ren

CoRR, 2022

RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners.

Soumya Sanyal, Zeyi Liao, Xiang Ren

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FaiRR: Faithful and Robust Deductive Reasoning over Natural Language.

Soumya Sanyal, Harman Singh, Xiang Ren

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning.

Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Discretized Integrated Gradients for Explaining Language Models.

Soumya Sanyal, Xiang Ren

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Composition-based Multi-Relational Graph Convolutional Networks.

Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar

Proceedings of the 8th International Conference on Learning Representations, 2020

A Re-evaluation of Knowledge Graph Completion Methods.

Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.

Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations.

Ekagra Ranjan, Soumya Sanyal, Partha P. Talukdar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction.

Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha P. Talukdar

CoRR, 2018