Sanchit Sinha

According to our database, Sanchit Sinha authored at least 26 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models.

Guangzhi Xiong, Qiao Jin, Sanchit Sinha, Zhiyong Lu, Aidong Zhang

CoRR, May, 2026

Retrieving Counterfactuals Improves Visual In-Context Learning.

Guangzhi Xiong, Sanchit Sinha, Zhenghao He, Aidong Zhang

CoRR, March, 2026

Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity.

Guangzhi Xiong, Sanchit Sinha, Aidong Zhang

CoRR, February, 2026

CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models.

Zhenghao He, Guangzhi Xiong, Boyang Wang, Sanchit Sinha, Aidong Zhang

CoRR, January, 2026

Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models.

Zhenghao He, Guangzhi Xiong, Bohan Liu, Sanchit Sinha, Aidong Zhang

CoRR, January, 2026

Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models.

Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders.

Guangzhi Xiong, Zhenghao He, Bohan Liu, Sanchit Sinha, Aidong Zhang

CoRR, December, 2025

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.

Guangzhi Xiong, Sanchit Sinha, Aidong Zhang

ACM Trans. Knowl. Discov. Data, November, 2025

Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning.

Sanchit Sinha, Oana Frunza, Kashif Rasul, Yuriy Nevmyvaka, Aidong Zhang

CoRR, October, 2025

A Comprehensive Survey on the Risks and Limitations of Concept-based Models.

Sanchit Sinha, Aidong Zhang

CoRR, June, 2025

Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

CoRR, January, 2025

ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability.

Zhenghao He, Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Structural Causality-based Generalizable Concept Discovery Models.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

CoRR, 2024

MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning.

Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CoLiDR: Concept Learning using Aggregated Disentangled Representations.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Self-explaining Neural Architecture for Generalizable Concept Learning.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Enhance Diffusion to Improve Robust Generalization.

Jianhui Sun, Sanchit Sinha, Aidong Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters.

Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Understanding and Enhancing Robustness of Concept-Based Models.

Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Realistic Commodity Flow Networks to Assess Vulnerability of Food Systems.

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

Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing.

Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2019

Triplet Transform Learning for Automated Primate Face Recognition.

Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Video Summarization using Global Attention with Memory Network and LSTM.

Dhruva Sahrawat, Mohit Agarwal, Sanchit Sinha, Aditya Adhikary, Mansi Agarwal, Rajiv Ratn Shah, Roger Zimmermann

Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018

Exploring Bias in Primate Face Detection and Recognition.

Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018