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

A Semantic Invariant Robust Watermark for Large Language Models.

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Aiwei Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Unforgeable Publicly Verifiable Watermark for Large Language Models.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Understanding Factual Knowledge of Large Language Models.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications.

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

LongGenBench: Long-context Generation Benchmark.

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

Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities.

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[DOI]

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

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model.

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[DOI]

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

On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations.

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[DOI]

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

Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.

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[DOI]

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

LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments.

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[DOI]

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

Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network.

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

2023

Towards Natural Language Interfaces for Data Visualization: A Survey.

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[DOI]

IEEE Trans. Vis. Comput. Graph., June, 2023

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference.

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[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Survey of Text Watermarking in the Era of Large Language Models.

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CoRR, 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

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CoRR, 2023

Do Large Language Models Know about Facts?

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[DOI]

CoRR, 2023

A Private Watermark for Large Language Models.

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[DOI]

CoRR, 2023

Give Me More Details: Improving Fact-Checking with Latent Retrieval.

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CoRR, 2023

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability.

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CoRR, 2023

Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction.

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[DOI]

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

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.

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[DOI]

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

MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.

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[DOI]

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

SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction.

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[DOI]

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

Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy.

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[DOI]

Xuming Hu

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

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction.

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[DOI]

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

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition.

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Proceedings of the IEEE International Conference on Acoustics, 2023

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction.

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[DOI]

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

AMR-based Network for Aspect-based Sentiment Analysis.

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[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing.

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

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer.

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[DOI]

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

Automatic Table Union Search with Tabular Representation Learning.

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[DOI]

Asterios Katsifodimos

George Karypis

Lijie Wen

Philip S. Yu

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

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.

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[DOI]

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

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.

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[DOI]

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

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.

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[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Graph Component Contrastive Learning for Concept Relatedness Estimation.

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

2022

MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs.

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IEEE Trans. Serv. Comput., 2022

Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction.

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CoRR, 2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.

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CoRR, 2022

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification.

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CoRR, 2022

Inferring Commonsense Explanations as Prompts for Future Event Generation.

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CoRR, 2022

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation.

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Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.

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