Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
ACL 2204 Findings |Findings of the Association for Computational Linguistics ACL 2024
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PLASMA: Procedural Knowledge Models for Language-based Planning and Re-planning
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
ICLR 2024 |The Twelfth International Conference on Learning Representations
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Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jian, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi
NeurIPS 2023 |Thirty-seventh Conference on Neural Information Processing Systems
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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
ACL 2023 |The 61st Annual Meeting of the Association for Computational Linguistics
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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
ICLR 2023 |The Eleventh International Conference on Learning Representations
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RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning
Soumya Sanyal, Zeyi Liao, Xiang Ren
EMNLP 2022 |The 2022 Conference on Empirical Methods in Natural Language Processing
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FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
Soumya Sanyal, Harman Singh, Xiang Ren ACL 2022 | 60th Annual Meeting of the Association for Computational Linguistics
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Discretized Integrated Gradients for Explaining Language Models
Soumya Sanyal, Xiang Ren EMNLP 2021 | The 2021 Conference on Empirical Methods in Natural Language Processing
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SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan, Boyuan Long, Jiashu Xu, Soumya Sanyal, Tanishq Gupta, and Xiang Ren Neurips 2021 | Thirty-fifth Conference on Neural Information Processing Systems
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A Re-evaluation of Knowledge Graph Completion Methods
Zhiqing Sun*, Shikhar Vashishth*, Soumya Sanyal*, Partha Talukdar, and Yiming Yang ACL 2020 | The 58th Annual Meeting of the Association for Computational Linguistics
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Composition-based Multi-Relational Graph Convolutional Networks
Soumya Sanyal*, Shikhar Vashishth*, Vikram Nitin, and Partha Talukdar ICLR-2020 | Eighth International Conference on Learning Representations
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InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Soumya Sanyal*, Shikhar Vashishth*, Vikram Nitin, Nilesh Agrawal, and Partha Talukdar AAAI-2020 | Thirty-Fourth AAAI Conference on Artificial Intelligence
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ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan, Soumya Sanyal, and Partha Talukdar AAAI-2020 | Thirty-Fourth AAAI Conference on Artificial Intelligence
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Self-Contradictory Reasoning Evaluation and Detection
Ziyi Liu, Soumya Sanyal, Isabelle Lee, Yongkang Du, Jieyu Zhao
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ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Soumya Sanyal, Ivan Anishchenko, Anirudh Dagar, David Baker, and Partha Talukdar Paper | Code

SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan, Boyuan Long, Jiashu Xu, Soumya Sanyal, Tanishq Gupta, and Xiang Ren ICML Workshop | ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI
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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, and Partha Talukdar NeurIPS Workshop | NeurIPS 2018 Workshop on Machine Learning for Molecules and Materials
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