148 citations · 151 across the 12 of their papers we have counts for
6 papers · 1 filter
Query-Conditioned Spherical Centroid Aggregation for Multimodal Retrieval
Ambuj Mehrish, Anindya Nag, Sebastiano Vascon
Multimodal retrieval integrates video, audio, subtitles, and text; however, recent geometric aggregators, such as Gramian volumes, hyperbolic volumes, and spectral objectives, trea…
Hypergraph-Regularized Gramian Volumes for Multimodal Retrieval
Anindya Nag, Ambuj Mehrish, Sebastiano Vascon
Volume-based multimodal retrieval jointly scores a text query with a candidate's video, audio, and subtitle embeddings. While this approach captures higher-order within-candidate a…
RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction
Ambuj Mehrish, Sebastiano Vascon
Brain-to-audio reconstruction is limited by \emph{prior domination}: when a pretrained generator is conditioned on a weak neural signal, it produces realistic but stimulus-inaccura…
CoRE: Consensus Rewards via Equilibrium for Test-Time Reinforcement Learning
Ambuj Mehrish, Sebastiano Vascon
On unlabeled test data, reinforcement learning lacks a ground-truth reward; test-time RL methods derive one from the model's own roll-outs, rewarding those that match the majority…
Constrained Dominant Sets for Multimodal Document Question Answering
Ambuj Mehrish, Sebastiano Vascon
Long multimodal document question answering is limited by which evidence reaches the reader, rather than by the quantity retrieved. In lengthy documents, findings often recur acros…
Min-Cost Flow Routing for Evidence Assembly in Long Multimodal Documents
Ambuj Mehrish, Sebastiano Vascon
Answering questions about long multimodal documents requires distributing a fixed evidence budget across relevant facets in text, tables, figures, and slides while avoiding near-du…