ERL — Emergent Retrieval Landmark
I study how candidate access, evidence selection, and reading affect multi-hop answers. Preliminary findings motivate further comparisons with stronger retrieval and scoring methods.
Research index
Current investigations, collaborative systems work, and earlier studies. Each project page describes the question, contribution, evidence, and remaining limitations.
I study how candidate access, evidence selection, and reading affect multi-hop answers. Preliminary findings motivate further comparisons with stronger retrieval and scoring methods.
I investigate how speech-predictable facial motion relates to rendered articulation. Following a negative predictive pilot, RIFT-M focuses on measurement reliability.
I am building a verified self-training pilot to study model expansion. Reliable training targets and recovery checks come before testing the growth hypothesis.
Collaborative MILab and industry work on speech-to-avatar integration, distributed inference, and Jetson deployment. Niloy and I are exploring a manuscript direction from the deployed PersonaPlex–IMTalker pipeline.
A preliminary browser workbench developed with aerospace practitioner input: STL inspection, custom VLM analysis, and OpenFOAM case preparation. CFD simulations remain future work.
Our completed four-person undergraduate thesis combines pretrained perception with SQL, multi-aspect vector retrieval, and temporal memory. I am considering architectural renovation and renewed evaluation.
I tested affine covariance transport in Gaussian avatars. Geometric differences did not support the required association with rendering residuals across three identities, so I set the hypothesis aside.
A C++ prototype for dependency and cycle analysis, pragma injection, and OpenMP-based CPU and target execution.
A Peekaboo/DINO teacher and UKAN student with mask-supervised and teacher–student objectives.