40 citations · 40 across the 8 of their papers we have counts for
4 papers · 1 filter
When is a better LLM worth paying for? Stochastic Optimization with Switching Mixed-Fidelity Oracles
Swati Gupta, Tianjiao Li
Large language models (LLMs) are increasingly used upstream of decision-making to clean data, detect label errors, and reconstruct missing values. Yet LLM-assisted data curation cr…
Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML
Jai Moondra, Ayela Chughtai, Bhargavi Lanka +1
Ranking LLMs via pairwise human feedback underpins current leaderboards for open-ended tasks, such as creative writing and problem-solving. We analyze ~89K comparisons in 116 langu…
Many Preferences, Few Policies: Compact Portfolios for Multi-Objective LLM Alignment
Cheol Woo Kim, Jai Moondra, Roozbeh Nahavandi +3
Aligning large language models (LLMs) requires balancing competing objectives such as helpfulness, harmlessness, and conciseness. The appropriate balance varies across users and ap…
Block-Norm Geometries for Online Mirror Descent with Sparse Losses
Swati Gupta, Jai Moondra, Mohit Singh
The performance of online mirror descent depends critically on the geometry induced by its mirror map, yet standard algorithms largely rely on two canonical choices: Euclidean and…