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Changsong Li

2 accepted papers

2026

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs

ICML 2026poster

Although Multimodal Large Language Models (MLLMs) demonstrate strong omni-modal perception, their ability to forecast future events from audio-visual cues remains largely unexplored, as existing benchmarks focus mainly on retrospective understanding. To bridge this gap, we introduce FutureOmni, the …

Cited by 0SourceScholar
2025

MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue

EMNLP 2025

Mental health issues are worsening in today’s competitive society, such as depression and anxiety. Traditional healings like counseling and chatbots fail to engage effectively, they often provide generic responses lacking emotional depth. Although large language models (LLMs) have the potential to c

Cited by 0SourcePDFScholar