Bowen Yu

Orcid: 0000-0002-6804-1859

Affiliations:
  • Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China


According to our database1, Bowen Yu authored at least 62 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment.
CoRR, 2024

Self-Retrieval: Building an Information Retrieval System with One Large Language Model.
CoRR, 2024

SoFA: Shielded On-the-fly Alignment via Priority Rule Following.
CoRR, 2024

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment.
CoRR, 2024

Preference Ranking Optimization for Human Alignment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch.
CoRR, 2023

Qwen Technical Report.
CoRR, 2023

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.
CoRR, 2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators.
CoRR, 2023

PolyLM: An Open Source Polyglot Large Language Model.
CoRR, 2023

Preference Ranking Optimization for Human Alignment.
CoRR, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.
CoRR, 2023

API-Bank: A Benchmark for Tool-Augmented LLMs.
CoRR, 2023

Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings.
Proceedings of the ACM Web Conference 2023, 2023

Towards Universal Cross-Domain Recommendation.
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.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Document-Grounded Dialogue Pre-training.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Question Generation with Multi-level Content Planning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Diversify Question Generation with Retrieval-Augmented Style Transfer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

Domain Incremental Lifelong Learning in an Open World.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Universal Information Extraction with Meta-Pretrained Self-Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Unified Language Representation for Question Answering over Text, Tables, and Images.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Towards Generalized Open Information Extraction.
CoRR, 2022

Semi-Supervised Lifelong Language Learning.
CoRR, 2022

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.
CoRR, 2022

Relation-Guided Few-Shot Relational Triple Extraction.
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.
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.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Document-Level Event Extraction via Human-Like Reading Process.
Proceedings of the IEEE International Conference on Acoustics, 2022

Semi-Supervised Lifelong Language Learning.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph.
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.
Data Intell., 2021

Semi-Open Information Extraction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

FITAnnotator: A Flexible and Intelligent Text Annotation System.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Maximal Clique Based Non-Autoregressive Open Information Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

From What to Why: Improving Relation Extraction with Rationale Graph.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Discontinuous Named Entity Recognition as Maximal Clique Discovery.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Label Enhanced Event Detection with Heterogeneous Graph Attention Networks.
CoRR, 2020

Event Detection with Relation-Aware Graph Convolutional Neural Networks.
CoRR, 2020

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Strong Baselines for Author Name Disambiguation with and Without Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

DRG2vec: Learning Word Representations from Definition Relational Graph.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Coarse-to-Fine Pre-training for Named Entity Recognition.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.
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.
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.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Porous Lattice Transformer Encoder for Chinese NER.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Porous Lattice-based Transformer Encoder for Chinese NER.
CoRR, 2019

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.
CoRR, 2019

Beyond Word Attention: Using Segment Attention in Neural Relation Extraction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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