activity
20162023
most citedSAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything

97 citations · 264 across the 25 of their papers we have counts for

collaborators
Showing 2021Show all

14 papers · 1 filter

cs.AI2021★ 26 cited

Trustworthy AI: From Principles to Practices

Bo Li, Peng Qi, Bo Liu +5

The rapid development of Artificial Intelligence (AI) technology has enabled the deployment of various systems based on it. However, many current AI systems are found vulnerable to…

cs.CL2021★ 5 cited

The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service

Nan Zhao, Haoran Li, Youzheng Wu +2

With the development of the Internet, more and more people get accustomed to online shopping. When communicating with customer service, users may express their requirements by mean…

cs.CL2021

RoR: Read-over-Read for Long Document Machine Reading Comprehension

Jing Zhao, Junwei Bao, Yifan Wang +4

Transformer-based pre-trained models, such as BERT, have achieved remarkable results on machine reading comprehension. However, due to the constraint of encoding length (e.g., 512…

cs.CL2021

CUSTOM: Aspect-Oriented Product Summarization for E-Commerce

Jiahui Liang, Junwei Bao, Yifan Wang +3

Product summarization aims to automatically generate product descriptions, which is of great commercial potential. Considering the customer preferences on different product aspects…

cs.CL2021

EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension

Yongwei Zhou, Junwei Bao, Haipeng Sun +5

Reasoning machine reading comprehension (R-MRC) aims to answer complex questions that require discrete reasoning based on text. To support discrete reasoning, evidence, typically t…

cs.CV2021★ 6 cited

Augmentation Pathways Network for Visual Recognition

Yalong Bai, Mohan Zhou, Wei Zhang +2

Data augmentation is practically helpful for visual recognition, especially at the time of data scarcity. However, such success is only limited to quite a few light augmentations (…

cs.CL2021★ 4 cited

Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System

Zichuan Lin, Jing Huang, Bowen Zhou +2

Recent work (Takanobu et al., 2020) proposed the system-wise evaluation on dialog systems and found that improvement on individual components (e.g., NLU, policy) in prior work may…

cs.CL2021★ 4 cited

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation

Guangyi Liu, Zichao Yang, Tianhua Tao +6

Neural text generation models are typically trained by maximizing log-likelihood with the sequence cross entropy (CE) loss, which encourages an exact token-by-token match between a…

cs.CL2021★ 3 cited

Conversational AI Systems for Social Good: Opportunities and Challenges

Peng Qi, Jing Huang, Youzheng Wu +2

Conversational artificial intelligence (ConvAI) systems have attracted much academic and commercial attention recently, making significant progress on both fronts. However, little…

cs.CL2021★ 1 cited

SGG: Learning to Select, Guide, and Generate for Keyphrase Generation

Jing Zhao, Junwei Bao, Yifan Wang +3

Keyphrases, that concisely summarize the high-level topics discussed in a document, can be categorized into present keyphrase which explicitly appears in the source text, and absen…

cs.CL2021★ 1 cited

K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce

Song Xu, Haoran Li, Peng Yuan +5

Existing pre-trained language models (PLMs) have demonstrated the effectiveness of self-supervised learning for a broad range of natural language processing (NLP) tasks. However, m…

cs.CL2021★ 4 cited

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification

Xiaochen Hou, Peng Qi, Guangtao Wang +4

Recent work on aspect-level sentiment classification has demonstrated the efficacy of incorporating syntactic structures such as dependency trees with graph neural networks(GNN), b…

cs.RO2021★ 1 cited

HAIR: Head-mounted AR Intention Recognition

David Puljiz, Bowen Zhou, Ke Ma +1

Human teams exhibit both implicit and explicit intention sharing. To further development of human-robot collaboration, intention recognition is crucial on both sides. Present appro…

cs.CL2021

Conversational Query Rewriting with Self-supervised Learning

Hang Liu, Meng Chen, Youzheng Wu +2

Context modeling plays a critical role in building multi-turn dialogue systems. Conversational Query Rewriting (CQR) aims to simplify the multi-turn dialogue modeling into a single…