Sandeep Polisetty

According to our database, Sandeep Polisetty authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions.

Yuchen Huang, Zhiyuan Fan, Zhitao He, Sandeep Polisetty, Wenyan Li, Yi R. Fung

CoRR, July, 2025

MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness.

Junsheng Huang, Zhitao He, Sandeep Polisetty, Qingyun Wang, May Fung

CoRR, April, 2025

V²R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations.

Zhiyuan Fan, Yumeng Wang, Sandeep Polisetty, Yi R. Fung

CoRR, April, 2025

Spa: Scaling Graph Neural Network Training on Large graphs via Probabilistic splitting.

Sandeep Polisetty, Juelin Liu, Yi Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness.

Junsheng Huang, Zhitao He, Yuchen Huang, Sandeep Polisetty, Qingyun Wang, Yi R. Fung

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

TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models.

Jaewoo Lee, Keyang Xuan, Chanakya Ekbote, Sandeep Polisetty, Yi R. Fung, Paul Pu Liang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward.

Zhiyuan Fan, Yumeng Wang, Sandeep Polisetty, Yi R. Fung

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration.

Zhitao He, Sandeep Polisetty, Zhiyuan Fan, Yuchen Huang, Shujin Wu, Yi R. Fung

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2023

GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism.

Sandeep Polisetty, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini

CoRR, 2023

GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs.

Juelin Liu, Sandeep Polisetty, Hui Guan, Marco Serafini

Proceedings of the 32nd International Conference on Parallel Architectures and Compilation Techniques, 2023

2021

Accelerating graph sampling for graph machine learning using GPUs.

Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection.

Yi R. Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

NextDoor: GPU-Based Graph Sampling for Graph Machine Learning.

Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini

CoRR, 2020