5 papers
Zebra3D: Efficient Hybrid Foundation Models For Scalable 3D Reconstruction
Utkarsh Saxena, Ruijing Yang, Mehdi Rezagholizadeh +3
Feed-forward 3D foundation models reconstruct scenes from unposed images, but the quadratic cost of global attention limits their scalability to large view sets. We present Zebra3D…
CORAL-KV: Compact Cross-Layer Prediction and Residual Coding for Autoregressive Video KV Caches
Albert Ge, Akash Haridas, Utkarsh Saxena +5
Autoregressive video diffusion models maintain a growing attention key-value (KV) cache, making memory a key bottleneck for long video generation. Recently, clustering-based quanti…
Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling
Parsa Ashrafi Fashi, Utkarsh Saxena, Mehdi Rezagholizadeh +7
Hybrid sequence models that combine efficient Transformer components with linear sequence modeling blocks are a promising alternative to pure Transformers, but most are still pretr…
CourtNav: Voice-Guided, Anchor-Accurate Navigation of Long Legal Documents in Courtrooms
Sai Khadloya, Kush Juvekar, Arghya Bhattacharya +1
Judicial work depends on close reading of long records, charge sheets, pleadings, annexures, orders, often spanning hundreds of pages. With limited staff support, exhaustive readin…
Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal Reasoning
Kush Juvekar, Arghya Bhattacharya, Sai Khadloya +1
Large language models (LLMs) are entering legal workflows, yet we lack a jurisdiction-specific framework to assess their baseline competence therein. We use India's public legal ex…