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

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch.

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[DOI]

Le Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model.

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[DOI]

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

Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

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[DOI]

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

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment.

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[DOI]

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

Language Models can Evaluate Themselves via Probability Discrepancy.

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[DOI]

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

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment.

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[DOI]

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

SoFA: Shielded On-the-fly Alignment via Priority Rule Following.

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[DOI]

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

Preference Ranking Optimization for Human Alignment.

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[DOI]

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

2023

Qwen Technical Report.

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[DOI]

CoRR, 2023

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators.

[BibT_eX]

[DOI]

CoRR, 2023

PolyLM: An Open Source Polyglot Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

API-Bank: A Benchmark for Tool-Augmented LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Towards Universal Cross-Domain Recommendation.

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[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition.

[BibT_eX]

[DOI]

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

Causal Document-Grounded Dialogue Pre-training.

[BibT_eX]

[DOI]

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

Improving Question Generation with Multi-level Content Planning.

[BibT_eX]

[DOI]

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

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

[BibT_eX]

[DOI]

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

Diversify Question Generation with Retrieval-Augmented Style Transfer.

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[DOI]

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

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Domain Incremental Lifelong Learning in an Open World.

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[DOI]

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

Universal Information Extraction with Meta-Pretrained Self-Retrieval.

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[DOI]

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

Unified Language Representation for Question Answering over Text, Tables, and Images.

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[DOI]

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

2022

Towards Generalized Open Information Extraction.

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[DOI]

CoRR, 2022

Semi-Supervised Lifelong Language Learning.

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[DOI]

CoRR, 2022

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.

[BibT_eX]

[DOI]

CoRR, 2022

Relation-Guided Few-Shot Relational Triple Extraction.

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[DOI]

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

Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition.

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[DOI]

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

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration.

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[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Survey on Neural Open Information Extraction: Current Status and Future Directions.

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[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Document-Level Event Extraction via Human-Like Reading Process.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Semi-Supervised Lifelong Language Learning.

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[DOI]

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

Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence.

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[DOI]

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

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph.

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[DOI]

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

2021

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task.

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[DOI]

Data Intell., 2021

Semi-Open Information Extraction.

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[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

FITAnnotator: A Flexible and Intelligent Text Annotation System.

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[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.

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[DOI]

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

Maximal Clique Based Non-Autoregressive Open Information Extraction.

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[DOI]

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

From What to Why: Improving Relation Extraction with Rationale Graph.

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[DOI]

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

Discontinuous Named Entity Recognition as Maximal Clique Discovery.

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[DOI]

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

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.

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[DOI]

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

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field.

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[DOI]

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

2020

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks.

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[DOI]

CoRR, 2020

Event Detection with Relation-Aware Graph Convolutional Neural Networks.

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[DOI]

CoRR, 2020

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Strong Baselines for Author Name Disambiguation with and Without Neural Networks.

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[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

DRG2vec: Learning Word Representations from Definition Relational Graph.

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[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Coarse-to-Fine Pre-training for Named Entity Recognition.

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[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.

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[DOI]

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

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.

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[DOI]

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Document-level Relation Extraction with Dual-tier Heterogeneous Graph.

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[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction.