9 papers
Advancing DialNav through Automatic Embodied Dialog Augmentation
Leekyeung Han, Sangwon Jung, Hyunji Min +3
For embodied agents capable of physical interaction, the capability to create and understand dialog is crucial to ensure both safety and effectiveness. While DialNav~\cite{han2025d…
CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning
Junyoung Sung, Seungwoo Lyu, Minjun Kim +3
Real-world reasoning often requires combining information across modalities, connecting textual context with visual cues in a multi-hop process. Yet, most multimodal benchmarks fai…
Robust Image Self-Recovery against Tampering using Watermark Generation with Pixel Shuffling
Minyoung Kim, Paul Hongsuck Seo
The rapid growth of Artificial Intelligence-Generated Content (AIGC) raises concerns about the authenticity of digital media. In this context, image self-recovery, reconstructing o…
Breaking the Visual Shortcuts in Multimodal Knowledge-Based Visual Question Answering
Dosung Lee, Sangwon Jung, Boyoung Kim +4
Existing Multimodal Knowledge-Based Visual Question Answering (MKB-VQA) benchmarks suffer from "visual shortcuts", as the query image typically matches the primary subject entity o…
GOAT: A Training Framework for Goal-Oriented Agent with Tools
Hyunji Min, Sangwon Jung, Junyoung Sung +3
Current approaches rely on zero-shot evaluation due to the absence of training data; while proprietary models such as GPT-4 exhibit strong reasoning capabilities, smaller open-sour…
ReTAG: Retrieval-Enhanced, Topic-Augmented Graph-Based Global Sensemaking
Boyoung Kim, Dosung Lee, Sumin An +2
Recent advances in question answering have led to substantial progress in tasks such as multi-hop reasoning. However, global sensemaking-answering questions by synthesizing informa…