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 49 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
SaraCoder: Orchestrating Semantic and Structural Cues for Profit-Oriented Repository-Level Code Completion.
CoRR, August, 2025

Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion.
CoRR, August, 2025

MultiMedEdit: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA.
CoRR, August, 2025

ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems.
CoRR, March, 2025

Interactive Large Language Models for Reliable Answering under Incomplete Context.
Trans. Mach. Learn. Res., 2025

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Agentic Knowledgeable Self-awareness.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Cross-composition Feature Disentanglement for Compositional Zero-shot Learning.
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

Agent Planning with World Knowledge Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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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