← Search

Felipe Vieira Frujeri

6 accepted papers

2023

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

NeurIPS 2023poster

Recently an influx of studies claims emergent cognitive abilities in large language models (LLMs). Yet, most rely on anecdotes, overlook contamination of training sets, or lack systematic Evaluation involving multiple tasks, control conditions, multiple iterations, and statistical robustness tests.…

Cited by 64SourcePDFScholar
2023

Hindsight Learning for MDPs with Exogenous Inputs

ICML 2023poster

Many resource management problems require sequential decision-making under uncertainty, where the only uncertainty affecting the decision outcomes are exogenous variables outside the control of the decision-maker. We model these problems as Exo-MDPs (Markov Decision Processes with Exogenous Inputs)…

2023

HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World

ICCV 2023poster

Building an interactive AI assistant that can perceive, reason, and collaborate with humans in the real world has been a long-standing pursuit in the AI community. This work is part of a broader research effort to develop intelligent agents that can interactively guide humans through performing task…

Cited by 55PDFcodeScholar
2023

MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering

EMNLP 2023long findings

Thanks to the strong reasoning capabilities of Large Language Models (LLMs), recent approaches to knowledge-based visual question answering (KVQA) utilize LLMs with a global caption of an input image to answer a question. However, these approaches may miss key visual information that is not captured…

Cited by 0SourceScholar
2023

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining

CoRL 2023poster

A rich representation is key to general robotic manipulation, but existing approaches to representation learning require large amounts of multimodal demonstrations. In this work we propose PLEX, a transformer-based architecture that learns from a small amount of task-agnostic visuomotor trajectories…

Cited by 12SourceScholar
2022

MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control

NeurIPS 2022accept

Simulated humanoids are an appealing research domain due to their physical capabilities. Nonetheless, they are also challenging to control, as a policy must drive an unstable, discontinuous, and high-dimensional physical system. One widely studied approach is to utilize motion capture (MoCap) data t…