86 citations · 89 across the 4 of their papers we have counts for
5 papers
NeMo: Needle in a Montage for Video-Language Understanding
Zi-Yuan Hu, Shuo Liang, Duo Zheng +10
Recent advances in video large language models (VideoLLMs) call for new evaluation protocols and benchmarks for video-language understanding. Inspired by the needle in a haystack t…
Fine-grained Spatiotemporal Grounding on Egocentric Videos
Shuo Liang, Yiwu Zhong, Zi-Yuan Hu +2
Spatiotemporal video grounding aims to localize target entities in videos based on textual queries. While existing research has made significant progress in exocentric videos, the…
Making Long-Context Language Models Better Multi-Hop Reasoners
Yanyang Li, Shuo Liang, Michael R. Lyu +1
Recent advancements in long-context modeling have enhanced language models (LMs) for complex tasks across multiple NLP applications. Despite this progress, we find that these model…
STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
Shuo Liang, Wei Wei, Xian-Ling Mao +3
Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task in sentiment analysis research, aiming to extract triplets of the aspect term, its corresponding opinion term…
BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis
Shuo Liang, Wei Wei, Xian-Ling Mao +2
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity infe…