2024
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation.
CoRR, 2024
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
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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.
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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.
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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.
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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.
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CoRR, 2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
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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.
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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