collaborators

6 papers

hep-ph2026

Strangeness suppression, the meson and spin correlations from exact strangeness conservation at the quark level

P. Castorina, H. Satz

In small collision systems strange hadrons are suppressed, and the suppression grows with the number of strange quarks. Exact strangeness conservation in a finite volume accounts f…

cs.CV2026

TopoFuse: Topology-Aware Tri-Planar Fusion for 3D Cryo-Electron Tomography Segmentation

Rohit Kumar Salla, Neelesh Gupta, Xingjian Li +1

Automated segmentation of cryo-electron tomograms routinely produces masks that are voxel-accurate but topologically broken: membranes fragment, organelles merge into one another,…

cs.LG2026

Learning When to Stop: Prefix-Optimal Dynamic Diffusion Policies for Continuous Control

Rohit Kumar Salla, Manoj Saravanan, Simon Stepputtis

Diffusion policies are a powerful policy class for continuous control, but their iterative denoising process creates a substantial computational bottleneck. Reducing this cost requ…

cs.IR2026

CrossQ: Task-Aligned Cross-Token Conditional Quantization for Late Interaction Retrieval

Rohit Kumar Salla, Manoj Saravanan, Ramya Manasa Amancherla

Late-interaction retrievers like ColBERT achieve high quality but suffer from large multi-vector indices. Standard compression minimizes token reconstruction error, while ranking d…

cs.AI2026

Quantifying Cross-Query Contradictions in Multi-Query LLM Reasoning

Rohit Kumar Salla, Ramya Manasa Amancherla, Manoj Saravanan

Large language models frequently produce mutually inconsistent answers when reasoning over multiple related queries. We study case-file logical consistency: maintaining a globally…

cs.CL2025

Beyond Hallucinations: A Composite Score for Measuring Reliability in Open-Source Large Language Models

Rohit Kumar Salla, Manoj Saravanan, Shrikar Reddy Kota

Large Language Models (LLMs) like LLaMA, Mistral, and Gemma are increasingly used in decision-critical domains such as healthcare, law, and finance, yet their reliability remains u…