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cs.LG2026
One Lens, Many Worlds : A Capability-Typed Interface for World-Model Interpretability
Bhavith Chandra Challagundla, Sanskar Pandey, Param Thakkar +7
World models are now built on substantially different computational substrates. Latent recurrent state-space models such as PlaNet and the Dreamer family compress observations into…
cs.CL2026
BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation
Param Thakkar, Anushka Yadav, Michael Tiemann +3
We present BhashaSetu, a linguistically enriched English--Marathi parallel dataset addressing persistent data limitations in low-resource neural machine translation (NMT). Marathi,…
cs.SD2026
HELIX: Scaling Raw Audio Understanding with Hybrid Mamba-Attention Beyond the Quadratic Limit
Khushiyant, Param Thakkar
Audio representation learning typically evaluates design choices such as input frontend, sequence backbone, and sequence length in isolation. We show that these axes are coupled, a…