19 citations · 36 across the 6 of their papers we have counts for
6 papers
Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks
Yifei Xu, Tusher Chakraborty, Srinagesh Sharma +6
Reinforcement learning (RL) training of large language models (LLMs) on unverifiable tasks is challenging even when a reasonable-quality reference answer is available. We propose a…
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias
Victoria Lin, Louis-Philippe Morency, Dimitrios Dimitriadis +1
In real-world machine learning systems, labels are often derived from user behaviors that the system wishes to encourage. Over time, new models must be trained as new training exam…
MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
Srinagesh Sharma, Guoqing Zheng, Ahmed Hassan Awadallah
Albeit the universal representational power of pre-trained language models, adapting them onto a specific NLP task still requires a considerably large amount of labeled data. Effec…
A Generalization Error Bound for Multi-class Domain Generalization
Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma +3
Domain generalization is the problem of assigning labels to an unlabeled data set, given several similar data sets for which labels have been provided. Despite considerable interes…
Simple Regret Minimization for Contextual Bandits
Aniket Anand Deshmukh, Srinagesh Sharma, James W. Cutler +2
There are two variants of the classical multi-armed bandit (MAB) problem that have received considerable attention from machine learning researchers in recent years: contextual ban…
Kernel Embedding Approaches to Orbit Determination of Spacecraft Clusters
Srinagesh Sharma, James W. Cutler
This paper presents a novel formulation and solution of orbit determination over finite time horizons as a learning problem. We present an approach to orbit determination under ver…