Sai Srinivas Kancheti

According to our database, Sai Srinivas Kancheti authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs.

Sai Srinivas Kancheti, Aditya Sanjiv Kanade, Vineeth N. Balasubramanian, Tanuja Ganu

CoRR, April, 2026

Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs.

Rohit Sinha, Aditya Kanade, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Tanuja Ganu

CoRR, April, 2026

Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization.

Sai Srinivas Kancheti, Aditya Kanade, Rohit Sinha, Vineeth N. Balasubramanian, Tanuja Ganu

CoRR, April, 2026

Conformal Prediction in the Age of Multimodal Foundation Models: A Survey.

Christian Stavan, Kunal Tilaganji, Sai Mathura Krishnan, Sai Srinivas Kancheti, Vineeth N. Balasubramanian

Proceedings of the Importance of Being Learnable - Essays Dedicated to Alexander Gammerman, 2026

Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs.

Rohit Sinha, Aditya Sanjiv Kanade, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Tanuja Ganu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs.

Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

Trans. Mach. Learn. Res., 2025

Semantic Alignment for Prompt-Tuning in Vision Language Models.

Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

Trans. Mach. Learn. Res., 2025

HARE: Human-in-the-Loop Algorithmic Recourse.

Sai Srinivas Kancheti, Rahul Vigneswaran, Bamdev Mishra, Vineeth N. Balasubramanian

Trans. Mach. Learn. Res., 2025

2024

Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?

Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

CoRR, 2024

Interpretable Model Drift Detection.

Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Algorithmic Recourse based on User's Feature-order Preference.

Manan Singh, Sai Srinivas Kancheti, Shivam Gupta, Ganesh Ghalme, Shweta Jain, Narayanan C. Krishnan

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Matching Learned Causal Effects of Neural Networks with Domain Priors.

Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

Proceedings of the International Conference on Machine Learning, 2022

2021

Linguistically-aware attention for reducing the semantic gap in vision-language tasks.

Gouthaman KV, Athira M. Nambiar, Sai Srinivas Kancheti, Anurag Mittal

Pattern Recognit., 2021

Causal Regularization Using Domain Priors.

Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 2021

Instance-Wise Causal Feature Selection for Model Interpretation.

Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Beyond VQA: Generating Multi-Word Answers and Rationales to Visual Questions.

Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions.

Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian

CoRR, 2020