Deepak Nathani

relationPrediction. ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

pare. A research framework for evaluating proactive AI assistants through active user simulation

MAF. multi-aspect feedback for improving reasoning chain quality

meta-are. Fork of Meta Agents Research Environments (ARE). ARE is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

deepakn97.github.io. Academic website based on al-folio template.

CS293S. Project repo for enhancing text search by using multimodal information

dotfiles_new. New dotfiles with install script