6 accepted papers
Object-Goal Navigation (OGN) in complex domestic environments remains challenging due to spatial memory and semantic uncertainties. To address this, we introduce EMKG, an embodied multimodal memory knowledge graph framework that enables open-world navigation. In contrast to conventional vision-langu
Object-Goal Navigation in dynamic environments remains challenging because many existing approaches rely primarily on reactive mapping and lack the ability to retain historical experience or establish structured memory associations. To address this limitation, we introduce MemClaw-RAG, an embodied m…
Memes have emerged as a popular form of multimodal online communication, where their interpretation heavily depends on the specific context in which they appear. Current approaches predominantly focus on isolated meme analysis, either for harmful content detection or standalone interpretation, overl
Recent advances in large language models have demonstrated remarkable performance on Contextual Question Answering (CQA). However, prior approaches typically employ elaborate reasoning strategies regardless of question complexity, leading to low adaptability. Recent efficient test-time scaling metho
Conversational humor is the key to capturing dialogue semantics and dialogue comprehension, which is usually generated in multiple modalities, such as linguistic rhetoric (textual modality), exaggerated facial expressions or movements (visual modality), and quirky intonation (acoustic modality). How…