29 citations · 41 across the 13 of their papers we have counts for
9 papers · 1 filter
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
Hengchang Hu, Wei Guo, Yong Liu +1
In sequential recommendation, multi-modal information (e.g., text or image) can provide a more comprehensive view of an item's profile. The optimal stage (early or late) to fuse mo…
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization
Xiachong Feng, Xiaocheng Feng, Xiyuan Du +2
Meeting summarization has emerged as a promising technique for providing users with condensed summaries. However, existing work has focused on training models on centralized data,…
Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models
Wei Han, Hui Chen, Min-Yen Kan +1
Video question-answering is a fundamental task in the field of video understanding. Although current vision--language models (VLMs) equipped with Video Transformers have enabled te…
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation
Taha Aksu, Min-Yen Kan, Nancy F. Chen
A challenge in the Dialogue State Tracking (DST) field is adapting models to new domains without using any supervised data, zero-shot domain adaptation. Parameter-Efficient Transfe…
Songs Across Borders: Singable and Controllable Neural Lyric Translation
Longshen Ou, Xichu Ma, Min-Yen Kan +1
The development of general-domain neural machine translation (NMT) methods has advanced significantly in recent years, but the lack of naturalness and musical constraints in the ou…
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
Shaurya Rohatgi, Yanxia Qin, Benjamin Aw +2
We present ACL OCL, a scholarly corpus derived from the ACL Anthology to assist Open scientific research in the Computational Linguistics domain. Integrating and enhancing the prev…
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning
Yuxi Xie, Guanzhen Li, Min-Yen Kan
We introduce ECHo (Event Causality Inference via Human-Centric Reasoning), a diagnostic dataset of event causality inference grounded in visio-linguistic social scenarios. ECHo emp…
Self-Evaluation Guided Beam Search for Reasoning
Yuxi Xie, Kenji Kawaguchi, Yiran Zhao +4
Breaking down a problem into intermediate steps has demonstrated impressive performance in Large Language Model (LLM) reasoning. However, the growth of the reasoning chain introduc…
UDApter -- Efficient Domain Adaptation Using Adapters
Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan +1
We propose two methods to make unsupervised domain adaptation (UDA) more parameter efficient using adapters, small bottleneck layers interspersed with every layer of the large-scal…