Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases. - Niharika Jain; Lydia Manikonda; Alberto Olmo Hernandez; Sailik Sengupta; Subbarao Kambhampati (CoRR, 2018)

Towards Understanding User Preferences for Explanation Types in Model Reconciliation. - Zahra Zahedi; Alberto Olmo Hernandez; Tathagata Chakraborti; Sarath Sreedharan; Subbarao Kambhampati (HRI, 2019)

Model-Free Model Reconciliation. - Sarath Sreedharan; Alberto Olmo Hernandez; Aditya Prasad Mishra; Subbarao Kambhampati (IJCAI, 2019)

Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses. - Niharika Jain; Alberto Olmo Hernandez; Sailik Sengupta; Lydia Manikonda; Subbarao Kambhampati (CoRR, 2020)

Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification. - Alberto Olmo Hernandez; Sailik Sengupta; Subbarao Kambhampati (CoRR, 2020)

GPT3-to-plan: Extracting plans from text using GPT-3. - Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2021)

Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses. - Niharika Jain; Alberto Olmo Hernandez; Sailik Sengupta; Lydia Manikonda; Subbarao Kambhampati (Artif. Intell., 2022)

Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change). - Karthik Valmeekam; Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2022)

PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. - Karthik Valmeekam; Matthew Marquez; Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). - Karthik Valmeekam; Sarath Sreedharan; Matthew Marquez; Alberto Olmo Hernandez; Subbarao Kambhampati (CoRR, 2023)