35 citations · 78 across the 15 of their papers we have counts for
15 papers
TARL: Transaction-Aware Reliable Ledgers for Executable Memory Management in Long-Term Agents
Han Xiao, Hongjun Xu, Xin Zhang +2
Persistent memory helps long-term agents retain knowledge, yet a single update error can repeatedly distort future retrieval and reasoning. Most existing systems reduce memory upda…
Representation Purification for End-to-End Speech Translation
Chengwei Zhang, Yue Zhou, Rui Zhao +2
Speech-to-text translation (ST) is a cross-modal task that involves converting spoken language into text in a different language. Previous research primarily focused on enhancing s…
Layer-wise Representation Fusion for Compositional Generalization
Yafang Zheng, Lei Lin, Shuangtao Li +6
Existing neural models are demonstrated to struggle with compositional generalization (CG), i.e., the ability to systematically generalize to unseen compositions of seen components…
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
Lei Lin, Shuangtao Li, Yafang Zheng +4
Recent studies have shown that sequence-to-sequence (seq2seq) models struggle with compositional generalization (CG), i.e., the ability to systematically generalize to unseen compo…
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment
Jiangbin Zheng, Yile Wang, Cheng Tan +5
Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as textual glosses. Recent studies show that insufficient training caused by the lack of larg…
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference
Biao Fu, Minpeng Liao, Kai Fan +4
A popular approach to streaming speech translation is to employ a single offline model with a wait-k policy to support different latency requirements, which is simpler than trainin…
MOPRD: A multidisciplinary open peer review dataset
Jialiang Lin, Jiaxin Song, Zhangping Zhou +2
Open peer review is a growing trend in academic publications. Public access to peer review data can benefit both the academic and publishing communities. It also serves as a great…
Towards Better Document-level Relation Extraction via Iterative Inference
Liang Zhang, Jinsong Su, Yidong Chen +4
Document-level relation extraction (RE) aims to extract the relations between entities from the input document that usually containing many difficultly-predicted entity pairs whose…
Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation
Jiangbin Zheng, Siyuan Li, Cheng Tan +3
Sign Language (SL), as the mother tongue of the deaf community, is a special visual language that most hearing people cannot understand. In recent years, neural Sign Language Trans…
Automatic Analysis of Available Source Code of Top Artificial Intelligence Conference Papers
Jialiang Lin, Yingmin Wang, Yao Yu +3
Source code is essential for researchers to reproduce the methods and replicate the results of artificial intelligence (AI) papers. Some organizations and researchers manually coll…
A Token-level Contrastive Framework for Sign Language Translation
Biao Fu, Peigen Ye, Liang Zhang +4
Sign Language Translation (SLT) is a promising technology to bridge the communication gap between the deaf and the hearing people. Recently, researchers have adopted Neural Machine…
Automated scholarly paper review: Concepts, technologies, and challenges
Jialiang Lin, Jiaxin Song, Zhangping Zhou +2
Peer review is a widely accepted mechanism for research evaluation, playing a pivotal role in academic publishing. However, criticisms have long been leveled at this mechanism, mos…
Asynchronous "Events" are Better For Motion Estimation
Yuhu Guo, Han Xiao, Yidong Chen +1
Event-based camera is a bio-inspired vision sensor that records intensity changes (called event) asynchronously in each pixel. As an instance of event-based camera, Dynamic and Act…
Multi-Perspective Neural Architecture for Recommendation System
Han Xiao, Yidong Chen, Xiaodong Shi
Currently, there starts a research trend to leverage neural architecture for recommendation systems. Though several deep recommender models are proposed, most methods are too simpl…
Deep Semantic Role Labeling with Self-Attention
Zhixing Tan, Mingxuan Wang, Jun Xie +2
Semantic Role Labeling (SRL) is believed to be a crucial step towards natural language understanding and has been widely studied. Recent years, end-to-end SRL with recurrent neural…