ongoing and past work
memory isolation in multi-agent llm systems
formulated memory interference as a failure mode in llm-based multi-agent systems, designing architectural variants for controlled retrieval-scoping.
llmfuzz-bench
designed a controlled evaluation framework to quantify output stability of llms under stochastic decoding conditions across 1,500+ tasks.
recommender systems & diversity
researching methods to improve diversity, relevance, and ranking stability in recommendation pipelines using llm-driven approaches.
emotion recognition with cnns & transformers
benchmarked cnn and transformer architectures for emotion recognition on fer2013 dataset, analysing accuracy-efficiency tradeoffs.
matrix factorization enhancements
improved ndcg/mrr metrics on matrix factorization models through novel regularization and training strategies.