Xiang Chen

Orcid: 0000-0002-2594-0600

Affiliations:
  • Zhejiang University, Hangzhou, China
  • AZFT Joint Lab for Knowledge Engine


According to our database1, Xiang Chen authored at least 40 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Agent Planning with World Knowledge Model.
CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
CoRR, 2024

Overview of the NLPCC 2024 Shared Task 10: Regulating Large Language Models.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Continual Multimodal Knowledge Graph Construction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Knowledge Mechanisms in Large Language Models: A Survey and Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unified Hallucination Detection for Multimodal Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
RJUA-QA: A Comprehensive QA Dataset for Urology.
CoRR, 2023

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.
CoRR, 2023

Continual Multimodal Knowledge Graph Construction.
CoRR, 2023

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multimodal Analogical Reasoning over Knowledge Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Reasoning with Language Model Prompting: A Survey.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
On Analyzing the Role of Image for Visual-enhanced Relation Extraction.
CoRR, 2022

Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction.
CoRR, 2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
CoRR, 2022

Ontology-enhanced Prompt-tuning for Few-shot Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.
Proceedings of the Tenth International Conference on Learning Representations, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis.
CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
CoRR, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.
CoRR, 2021

ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Document-level Relation Extraction as Semantic Segmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Disentangled Contrastive Learning for Learning Robust Textual Representations.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

On Robustness and Bias Analysis of BERT-Based Relation Extraction.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021


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