4 papers
On Path to Multimodal Generalist: General-Level and General-Bench
Hao Fei, Yuan Zhou, Juncheng Li +29
The Multimodal Large Language Model (MLLM) is currently experiencing rapid growth, driven by the advanced capabilities of LLMs. Unlike earlier specialists, existing MLLMs are evolv…
Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark
Han Zhang, Zixiang Meng, Meng Luo +4
Empathetic Response Generation (ERG) is one of the key tasks of the affective computing area, which aims to produce emotionally nuanced and compassionate responses to user's querie…
Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
Qiang Gao, Zixiang Meng, Bobo Li +4
Document-level event extraction aims to extract structured event information from unstructured text. However, a single document often contains limited event information and the rol…
Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information
Qiang Gao, Bobo Li, Zixiang Meng +5
Existing cross-document event coreference resolution models, which either compute mention similarity directly or enhance mention representation by extracting event arguments (such…