Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration.

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Weikang Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.

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[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Knowledge Triplets Derivation from Scientific Publications via Dual-Graph Resonance.

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Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Enhance Robustness of Language Models against Variation Attack through Graph Integration.

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Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Evolving Knowledge Distillation with Large Language Models and Active Learning.

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Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification.

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[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement.

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Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

H<sup>2</sup>CGL: Modeling dynamics of citation network for impact prediction.

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[DOI]

Inf. Process. Manag., November, 2023

Disentangling the Potential Impacts of Papers into Diffusion, Conformity, and Contribution Values.

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[DOI]

CoRR, 2023

A Chinese Prompt Attack Dataset for LLMs with Evil Content.

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[DOI]

CoRR, 2023

Memory-Augmented LLM Personalization with Short- and Long-Term Memory Coordination.

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[DOI]

CoRR, 2023

PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts.

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[DOI]

CoRR, 2023

H2CGL: Modeling Dynamics of Citation Network for Impact Prediction.

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[DOI]

CoRR, 2023

GCN-based End-to-End Model for Comparative Opinion Quintuple Extraction.

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[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Content- and Topology-Aware Representation Learning for Scientific Multi-Literature.

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[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion.

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[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction.

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[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis.

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[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning.

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[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models.

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[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

A Prompt-Based UIE Framework.

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[DOI]

Fubang Zhao

Yexiang Wang

Yangyang Kang

Proceedings of the CCKS 2022 - Evaluation Track, 2022

Hierarchical Multi-task Learning for Enterprise Risk Detection from Financial Documents.

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[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels.

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[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis.

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[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.

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[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders.

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[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Evidence Aware Neural Pornographic Text Identification for Child Protection.

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[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model.

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[DOI]

CoRR, 2020

Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention.

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[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Implicit Products in the Decentralized eCommerce Ecosystems.

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[DOI]

Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning.

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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model.

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Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Exploiting the semantic graph for the representation and retrieval of medical documents.

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[DOI]

Comput. Biol. Medicine, 2018

Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks.

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