10 citations · 24 across the 6 of their papers we have counts for
6 papers
From Critic to Confidence: PPO for Language-Based Quantitative Prediction with Confidence Estimation
Mehak Dhaliwal, Rasta Tadayon, Andong Hua +2
LLMs can perform language-based quantitative prediction from unstructured inputs, but remain susceptible to hallucinations and overconfident errors, making it critical to know not…
English is Not All You Need: Systematically Exploring the Role of Multilinguality in LLM Post-Training
Mehak Dhaliwal, Shashwat Chaurasia, Yao Qin +2
Despite the widespread multilingual deployment of large language models, post-training pipelines remain predominantly English-centric, contributing to performance disparities acros…
NutriBench: A Dataset for Evaluating Large Language Models on Nutrition Estimation from Meal Descriptions
Andong Hua, Mehak Preet Dhaliwal, Laya Pullela +2
Accurate nutrition estimation helps people make informed dietary choices and is essential in the prevention of serious health complications. We present NutriBench, the first public…
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch +2
We show that content on the web is often translated into many languages, and the low quality of these multi-way translations indicates they were likely created using Machine Transl…
Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu +1
We leverage the Neural Tangent Kernel and its equivalence to training infinitely-wide neural networks to devise -AE: an autoencoder with infinitely-wide bottleneck layers.…
Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content
Muskaan, Mehak Preet Dhaliwal, Aaditeshwar Seth
Online participatory media platforms that enable one-to-many communication among users, see a significant amount of user generated content and consequently face a problem of being…