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Junik Bae

2 accepted papers

2024

Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models

ECCV 2024poster

"Hallucinations in vision-language models pose a significant challenge to their reliability, particularly in the generation of long captions. Current methods fall short of accurately identifying and mitigating these hallucinations. To address this issue, we introduce ESREAL, a novel unsupervised rei…

Cited by 5SourcePDFScholar
2024

TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations

CoRL 2024poster

Unsupervised goal-conditioned reinforcement learning (GCRL) is a promising paradigm for developing diverse robotic skills without external supervision. However, existing unsupervised GCRL methods often struggle to cover a wide range of states in complex environments due to their limited exploration…

Cited by 2SourceScholar