Pengfei Cao
Orcid: 0000-0003-4443-1892
According to our database1,
Pengfei Cao
authored at least 73 papers
between 2009 and 2024.
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Bibliography
2024
Pattern Anal. Appl., September, 2024
Inf. Sci., March, 2024
CoRR, 2024
CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance.
CoRR, 2024
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models.
CoRR, 2024
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models.
CoRR, 2024
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.
CoRR, 2024
MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
SimuCourt: Building Judicial Decision-Making Agents with Real-world Judgement Documents.
CoRR, 2024
The Da Vinci Code of Large Pre-trained Language Models: Deciphering Degenerate Knowledge Neurons.
CoRR, 2024
A New Hybrid Magnetic Coupler in Inductive Power Transfer System for High Misalignment Tolerance.
IEEE Access, 2024
ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
An improved PBFT consensus mechanism with trust value evaluation application in the agricultural product trusted traceability system.
J. High Speed Networks, 2023
Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA.
CoRR, 2023
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Toward Sensorless Interaction Force Estimation for Industrial Robots Using High-Order Finite-Time Observers.
IEEE Trans. Ind. Electron., 2022
An underwater dam crack image segmentation method based on multi-level adversarial transfer learning.
Neurocomputing, 2022
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Data Mining and Big Data - 6th International Conference, 2021
Proceedings of the IEEE Intl Conf on Dependable, 2021
A Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges.
Proceedings of the Cloud Computing - 11th EAI International Conference, 2021
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
IEEE Access, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory.
Neural Process. Lett., 2019
Steady-State Interval Detection and Nonlinear Modeling for Automatic Generation Control Systems.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019
2018
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Adversarial Training for Relation Classification with Attention Based Gate Mechanism.
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018
2017
An Approach to 5G Wireless Network Virtualization: Architecture and Trial Environment.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
2016
Digit. Signal Process., 2016
2009
Computer Simulation of 3D Mask Image Based on Self-Adaptive Model in VLSI Lithography.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009