Mandeep Rathee

According to our database, Mandeep Rathee authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

When More Reformulations Hurt: Avoiding Drift using Ranker Feedback.

Venktesh V, Mandeep Rathee, Avishek Anand

CoRR, May, 2026

Reproducing Adaptive Reranking for Reasoning-Intensive IR.

Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand

CoRR, April, 2026

Test-time Corpus Feedback: From Retrieval to RAG.

Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Trust but Verify! A Survey on Verification Design for Test-time Scaling.

Venktesh V, Mandeep Rathee, Avishek Anand

CoRR, August, 2025

Quam: Adaptive Retrieval through Query Affinity Modelling.

Mandeep Rathee, Sean MacAvaney, Avishek Anand

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets.

Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA.

Venktesh V, Mandeep Rathee, Avishek Anand

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Guiding Retrieval Using LLM-Based Listwise Rankers.

Mandeep Rathee, Sean MacAvaney, Avishek Anand

Proceedings of the Advances in Information Retrieval, 2025

2024

Bagel: A Benchmark for Assessing Graph Neural Network Explanations.

Mandeep Rathee, Thorben Funke, Avishek Anand, Megha Khosla

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

2023

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks.

Thorben Funke, Megha Khosla, Mandeep Rathee, Avishek Anand

IEEE Trans. Knowl. Data Eng., August, 2023

Private Graph Extraction via Feature Explanations.

Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla

Proc. Priv. Enhancing Technol., April, 2023

2021

Learnt Sparsification for Interpretable Graph Neural Networks.

Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand

CoRR, 2021