Web IR NLP Group @ NUS
Web IR NLP Group @ NUS
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Paper-Conference
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems
In sequential recommendation, multi-modal information (e.g., text or image) can provide a more comprehensive view of an item’s profile. …
Hengchang Hu
,
Wei Guo
,
Yong Liu
,
Min-Yen Kan
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Fact-Checking Complex Claims with Program-Guided Reasoning
Fact-checking real-world claims often requires collecting multiple pieces of evidence and applying complex multi-step reasoning. In …
Liangming Pan
,
Xiaobao Wu
,
Xinyuan Lu
,
Anh Tuan Luu
,
William Yang Wang
,
Min-Yen Kan
,
Preslav Nakov
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DOI
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Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation
A challenge in the Dialogue State Tracking (DST) field is adapting models to new domains without using any supervised data — …
Ibrahim Taha Aksu
,
Min-Yen Kan
,
Nancy Chen
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DOI
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Songs Across Borders: Singable and Controllable Neural Lyric Translation
The development of general-domain neural machine translation (NMT) methods has advanced significantly in recent years, but the lack of …
Longshen Ou
,
Xichu Ma
,
Min-Yen Kan
,
Ye Wang
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TraVLR: Now You See It, Now You Don′t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning
Numerous visio-linguistic (V+L) representation learning methods have been developed, yet existing datasets do not adequately evaluate …
Keng Ji Chow
,
Samson Tan
,
Min-Yen Kan
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UDAPTER - Efficient Domain Adaptation Using Adapters
We propose two methods to make unsupervised domain adaptation (UDA) more parameter efficient using adapters – small bottleneck …
Bhavitvya Malik
,
Abhinav Ramesh Kashyap
,
Min-Yen Kan
,
Soujanya Poria
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DOI
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Understanding Ethics in NLP Authoring and Reviewing
With NLP research now quickly being transferred into real-world applications, it is important to be aware of and think through the …
Luciana Benotti
,
Karën Fort
,
Min-Yen Kan
,
Yulia Tsvetkov
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MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
Existing multimodal tasks mostly target at the complete input modality setting, i.e., each modality is either complete or completely …
Wei Han
,
Hui Chen
,
Min-Yen Kan
,
Soujanya Poria
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Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge
In this paper, we study the problem of knowledge-intensive text-to-SQL, in which domain knowledge is necessary to parse expert …
Longxu Dou
,
Yan Gao
,
Xuqi Liu
,
Mingyang Pan
,
Dingzirui Wang
,
Wanxiang Che
,
Dechen Zhan
,
Min-Yen Kan
,
Jian-Guang Lou
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DOI
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CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
Knowledge-grounded dialog systems need to incorporate smooth transitions among knowledge selected for generating responses, to ensure …
Lin Xu
,
Qixian Zhou
,
Jinlan Fu
,
Min-Yen Kan
,
See-Kiong Ng
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