10 citations · 18 across the 7 of their papers we have counts for
7 papers
ICM-Bench: Person-Level Identity Reasoning in Multimodal Agents with Long-Term Memory
Shidu Ren, Yunze Liu, Xing Liu +3
Long-horizon multimodal agents should remember not only what happened but also who participated. This capability depends on linking recurring faces, voices, names, person-associate…
COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation
Xinghong Liu, Yi Zhou, Tao Zhou +2
Universal domain adaptation (UniDA) aims to address domain and category shifts across data sources. Recently, due to more stringent data restrictions, researchers have introduced s…
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
Xin Guo, Haotian Xia, Zhaowei Liu +14
Large language models have demonstrated outstanding performance in various natural language processing tasks, but their security capabilities in the financial domain have not been…
A Survey on Graph Classification and Link Prediction based on GNN
Xingyu Liu, Juan Chen, Quan Wen
Traditional convolutional neural networks are limited to handling Euclidean space data, overlooking the vast realm of real-life scenarios represented as graph data, including trans…
Learning to Rank Utterances for Query-Focused Meeting Summarization
Xingxian Liu, Yajing Xu
Query-focused meeting summarization(QFMS) aims to generate a specific summary for the given query according to the meeting transcripts. Due to the conflict between long meetings an…
Knowledge Distillation for Efficient Sequences of Training Runs
Xingyu Liu, Alex Leonardi, Lu Yu +3
In many practical scenarios -- like hyperparameter search or continual retraining with new data -- related training runs are performed many times in sequence. Current practice is t…
Query-Utterance Attention with Joint modeling for Query-Focused Meeting Summarization
Xingxian Liu, Bin Duan, Bo Xiao +1
Query-focused meeting summarization (QFMS) aims to generate summaries from meeting transcripts in response to a given query. Previous works typically concatenate the query with mee…