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

Hint-Enhanced In-Context Learning Wakes Large Language Models Up For Knowledge-Intensive Tasks.

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[DOI]

Yifan Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Unexpected Phenomenon: LLMs' Spurious Associations in Information Extraction.

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[DOI]

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

CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models.

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[DOI]

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

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing.

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[DOI]

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

Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models.

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[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding.

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[DOI]

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

2023

Towards Fine-Grained Concept Generation.

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[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs.

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[DOI]

CoRR, 2023

When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning.

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[DOI]

CoRR, 2023

StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving.

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[DOI]

CoRR, 2023

A Benchmark for Text Expansion: Datasets, Metrics, and Baselines.

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[DOI]

CoRR, 2023

TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design.

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[DOI]

CoRR, 2023

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling.

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[DOI]

CoRR, 2023

Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance.

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[DOI]

CoRR, 2023

A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement.

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[DOI]

CoRR, 2023

Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: A Preliminary Empirical Study.

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[DOI]

CoRR, 2023

Is ChatGPT A Good Keyphrase Generator? A Preliminary Study.

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[DOI]

CoRR, 2023

MA-MRC: A Multi-answer Machine Reading Comprehension Dataset.

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[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model.

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Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Towards Visual Taxonomy Expansion.

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[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Retrieval-Augmented Few-shot Text Classification.

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[DOI]

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

Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters.

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[DOI]

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

Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning.

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[DOI]

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

Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation.

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[DOI]

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

Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function.

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[DOI]

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

Effidit: An Assistant for Improving Writing Efficiency.

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[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning.

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[DOI]

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

2022

Entity understanding with hierarchical graph learning for enhanced text classification.

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[DOI]

Knowl. Based Syst., 2022

What would Harry say? Building Dialogue Agents for Characters in a Story.

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[DOI]

CoRR, 2022

Effidit: Your AI Writing Assistant.

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[DOI]

CoRR, 2022

FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer.

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[DOI]

CoRR, 2022

Context Enhanced Short Text Matching using Clickthrough Data.

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[DOI]

Mao Yan Chen

Haiyun Jiang

Yujiu Yang

CoRR, 2022

Revisiting the Evaluation Metrics of Paraphrase Generation.

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[DOI]

CoRR, 2022

Rethink Stealthy Backdoor Attacks in Natural Language Processing.

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[DOI]

CoRR, 2022

On the Evaluation Metrics for Paraphrase Generation.

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[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing.

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[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Question-answering Based Framework for Relation Extraction Validation.

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[DOI]

CoRR, 2021

Fine-grained Entity Typing without Knowledge Base.

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

An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing.

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[DOI]

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

TexSmart: A System for Enhanced Natural Language Understanding.

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Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Term Embeddings for Lexical Taxonomies.

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