2 citations · 2 across the 5 of their papers we have counts for
5 papers
Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
Bin Cao, Huixian Lu, Chenwen Ma +3
Complex tables with multi-level headers, merged cells and heterogeneous layouts pose persistent challenges for LLMs in both understanding and reasoning. Existing approaches typical…
VidLBEval: Benchmarking and Mitigating Language Bias in Video-Involved LVLMs
Yiming Yang, Yangyang Guo, Hui Lu +1
Recently, Large Vision-Language Models (LVLMs) have made significant strides across diverse multimodal tasks and benchmarks. This paper reveals a largely under-explored problem fro…
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
Hanzhang Zhou, Junlang Qian, Zijian Feng +3
In this study, we investigate in-context learning (ICL) in document-level event argument extraction (EAE) to alleviate the dependency on large-scale labeled data for this task. We…
Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation
Renjie Liang, Yiming Yang, Hui Lu +1
Temporal Sentence Grounding in Videos (TSGV) aims to detect the event timestamps described by the natural language query from untrimmed videos. This paper discusses the challenge o…
CH-Go: Online Go System Based on Chunk Data Storage
H. Lu, C. Li, Y. Yang +1
The training and running of an online Go system require the support of effective data management systems to deal with vast data, such as the initial Go game records, the feature da…