Papers by Jihwan Yu

1 papers
VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms (2025.emnlp-main)

Copied to clipboard

Challenge: Existing studies on embodied agents have addressed the importance of exploration in environments where tasks and solutions are not predefined.
Approach: They propose a virtual escape room that evaluates AI models in a dynamic environment . they propose to integrate memory management and reasoning into the simulation .
Outcome: The proposed model improves in dynamic and exploration-driven environments by integrating memory management and reasoning.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations