32 citations · 44 across the 3 of their papers we have counts for
4 papers
On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)
Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez +2
Intrigued by the claims of emergent reasoning capabilities in LLMs trained on general web corpora, in this paper, we set out to investigate their planning capabilities. We aim to e…
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification
Alberto Olmo, Sailik Sengupta, Subbarao Kambhampati
Deep Neural Networks are often brittle on image classification tasks and known to misclassify inputs. While these misclassifications may be inevitable, all failure modes cannot be…
Model-Free Model Reconciliation
Sarath Sreedharan, Alberto Olmo, Aditya Prasad Mishra +1
Designing agents capable of explaining complex sequential decisions remain a significant open problem in automated decision-making. Recently, there has been a lot of interest in de…
Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases
Niharika Jain, Lydia Manikonda, Alberto Olmo Hernandez +2
The use of synthetic data generated by Generative Adversarial Networks (GANs) has become quite a popular method to do data augmentation for many applications. While practitioners c…