Soumya Sanyal - RankMe

30 papers A* 10Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Mixing Inference-time Experts for Enhancing LLM Reasoning. EMNLP Soumya Sanyal, Tianyi Xiao, Xiang Ren
2024	—	`conf`	Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. ACL (Findings) Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
2024	J	`jnl`	Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. CoRR Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren
2024	A*	`conf`	PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. ICLR Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
2024	—	`conf`	Self-contradictory reasoning evaluation and detection. EMNLP (Findings) Ziyi Liu, Soumya Sanyal, Isabelle Lee, Yongkang Du, Rahul Gupta, Yang Liu, Jieyu Zhao
2023	—	`conf`	APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2023	A*	`conf`	Faith and Fate: Limits of Transformers on Compositionality. NeurIPS 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
2023	J	`jnl`	Faith and Fate: Limits of Transformers on Compositionality. CoRR 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
2023	A*	`conf`	Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
2023	J	`jnl`	PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. CoRR Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
2023	J	`jnl`	SCORE: A framework for Self-Contradictory Reasoning Evaluation. CoRR Ziyi Liu, Isabelle Lee, Yongkang Du, Soumya Sanyal, Jieyu Zhao
2022	J	`jnl`	APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2022	—	`conf`	FaiRR: Faithful and Robust Deductive Reasoning over Natural Language. ACL (1) Soumya Sanyal, Harman Singh, Xiang Ren
2022	J	`jnl`	FaiRR: Faithful and Robust Deductive Reasoning over Natural Language. CoRR Soumya Sanyal, Harman Singh, Xiang Ren
2022	J	`jnl`	Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
2022	A*	`conf`	RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners. EMNLP Soumya Sanyal, Zeyi Liao, Xiang Ren
2022	J	`jnl`	RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning. CoRR Soumya Sanyal, Zeyi Liao, Xiang Ren
2021	—	`conf`	Discretized Integrated Gradients for Explaining Language Models. EMNLP (1) Soumya Sanyal, Xiang Ren
2021	J	`jnl`	Discretized Integrated Gradients for Explaining Language Models. CoRR Soumya Sanyal, Xiang Ren
2021	A*	`conf`	SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. NeurIPS Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren
2021	J	`jnl`	SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. CoRR Aaron Chan, Soumya Sanyal, Boyuan Long, Jiashu Xu, Tanishq Gupta, Xiang Ren
2020	A*	`conf`	A Re-evaluation of Knowledge Graph Completion Methods. ACL Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang
2020	A*	`conf`	ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. AAAI Ekagra Ranjan, Soumya Sanyal, Partha P. Talukdar
2020	A*	`conf`	Composition-based Multi-Relational Graph Convolutional Networks. ICLR Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar
2020	A*	`conf`	InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. AAAI Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar
2019	J	`jnl`	A Re-evaluation of Knowledge Graph Completion Methods. CoRR Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang
2019	J	`jnl`	ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. CoRR Ekagra Ranjan, Soumya Sanyal, Partha Pratim Talukdar
2019	J	`jnl`	Composition-based Multi-Relational Graph Convolutional Networks. CoRR Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar
2019	J	`jnl`	InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions. CoRR Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar
2018	J	`jnl`	MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction. CoRR Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha P. Talukdar