Sanchit Sinha - RankMe

35 papers A* 8A 1B 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models. CoRR Zhenghao He, Guangzhi Xiong, Boyang Wang, Sanchit Sinha, Aidong Zhang
2026	A*	`conf`	Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models. AAAI Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang
2026	J	`jnl`	Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity. CoRR Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
2026	J	`jnl`	Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models. CoRR Zhenghao He, Guangzhi Xiong, Bohan Liu, Sanchit Sinha, Aidong Zhang
2026	J	`jnl`	Retrieving Counterfactuals Improves Visual In-Context Learning. CoRR Guangzhi Xiong, Sanchit Sinha, Zhenghao He, Aidong Zhang
2025	J	`jnl`	A Comprehensive Survey on the Risks and Limitations of Concept-based Models. CoRR Sanchit Sinha, Aidong Zhang
2025	A*	`conf`	ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers. IJCAI Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025	J	`jnl`	COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models. CoRR Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025	A*	`conf`	COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models. EMNLP Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025	J	`jnl`	Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning. CoRR Sanchit Sinha, Oana Frunza, Kashif Rasul, Yuriy Nevmyvaka, Aidong Zhang
2025	J	`jnl`	Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models. CoRR Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang
2025	J	`jnl`	GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability. CoRR Zhenghao He, Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025	J	`jnl`	Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs. CoRR Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025	J	`jnl`	ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning. ACM Trans. Knowl. Discov. Data Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
2025	J	`jnl`	Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders. CoRR Guangzhi Xiong, Zhenghao He, Bohan Liu, Sanchit Sinha, Aidong Zhang
2024	A*	`conf`	A Self-explaining Neural Architecture for Generalizable Concept Learning. IJCAI Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2024	J	`jnl`	A Self-explaining Neural Architecture for Generalizable Concept Learning. CoRR Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2024	A*	`conf`	CoLiDR: Concept Learning using Aggregated Disentangled Representations. KDD Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2024	J	`jnl`	CoLiDR: Concept Learning using Aggregated Disentangled Representations. CoRR Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2024	A*	`conf`	MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. KDD Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang
2024	J	`jnl`	MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. CoRR Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang
2024	J	`jnl`	ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning. CoRR Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
2024	J	`jnl`	Structural Causality-based Generalizable Concept Discovery Models. CoRR Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2023	A	`conf`	Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. INTERSPEECH Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
2023	J	`jnl`	Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. CoRR Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
2023	A*	`conf`	Enhance Diffusion to Improve Robust Generalization. KDD Jianhui Sun, Sanchit Sinha, Aidong Zhang
2023	J	`jnl`	Enhance Diffusion to Improve Robust Generalization. CoRR Jianhui Sun, Sanchit Sinha, Aidong Zhang
2023	A*	`conf`	Understanding and Enhancing Robustness of Concept-Based Models. AAAI Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
2022	J	`jnl`	Understanding and Enhancing Robustness of Concept-based Models. CoRR Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
2021	—	`conf`	Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. BlackboxNLP@EMNLP Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
2021	J	`jnl`	Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. CoRR Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
2021	—	`conf`	Realistic Commodity Flow Networks to Assess Vulnerability of Food Systems. COMPLEX NETWORKS Abhijin Adiga, Nicholas Palmer, Sanchit Sinha, Penina Waghalter, Aniruddha Dave, Daniel Perez Lazarte, Thierry Brévault, Andrea Apolloni, Henning S. Mortveit, Young Yun Baek, Madhav V. Marathe
2019	B	`conf`	Triplet Transform Learning for Automated Primate Face Recognition. ICIP Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa
2019	—	`conf`	Video Summarization using Global Attention with Memory Network and LSTM. BigMM Dhruva Sahrawat, Mohit Agarwal, Sanchit Sinha, Aditya Adhikary, Mansi Agarwal, Rajiv Ratn Shah, Roger Zimmermann
2018	—	`conf`	Exploring Bias in Primate Face Detection and Recognition. ECCV Workshops (1) Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand