1 citations · 1 across the 3 of their papers we have counts for
4 papers
Simple Linear Corrections for Compression in Late Interaction
Mihir Agarwal, Sabyasachi Basu, Viraj Agrawal
Late-interaction (multi-vector) models represent documents using a set of token-level vectors, providing a middle ground between cross-encoders and dense encoders in terms of quali…
Retrieval Needs Multivectors: An Exponential Separation
Mihir Agarwal, Viraj Agrawal, Sabyasachi Basu +2
Recent works have highlighted the expressive limitations of embedding based retrieval models through both theoretical analyses and challenging benchmarks such as LIMIT. While multi…
On Strengths and Limitations of Single-Vector Embeddings
Archish S, Mihir Agarwal, Ankit Garg +2
Recent work (Weller et al., 2025) introduced a naturalistic dataset called LIMIT and showed empirically that a wide range of popular single-vector embedding models suffer substanti…
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes
Mihir Agarwal, Progyan Das, Udit Bhatia
We introduce a novel Graph Attention Autoencoder (GAE) with spatial regularization to address the challenge of scalable anomaly detection in spatiotemporal rainfall data across Ind…