Bi-objective scenario-guided swarm intelligent algorithms based on reinforcement learning for robust unrelated parallel machines scheduling with setup times.

[BibT_eX]

[DOI]

Bing Wang

Kai Feng

Xiaozhi Wang

Swarm Evol. Comput., July, 2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.

[BibT_eX]

[DOI]

Nat. Mac. Intell., March, 2023

MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.

[BibT_eX]

[DOI]

CoRR, 2023

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment.

[BibT_eX]

[DOI]

CoRR, 2023

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking Foundation Models with Language-Model-as-an-Examiner.

[BibT_eX]

[DOI]

CoRR, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2023

ChatLog: Recording and Analyzing ChatGPT Across Time.

[BibT_eX]

[DOI]

CoRR, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking Foundation Models with Language-Model-as-an-Examiner.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Emergent Modularity in Pre-trained Transformers.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Multi-camera video synopsis of a geographic scene based on optimal virtual viewpoint.

[BibT_eX]

[DOI]

Trans. GIS, 2022

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Advancement of Electroadhesion Technology for Intelligent and Self-Reliant Robotic Applications.

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2022

On Transferability of Prompt Tuning for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Finding Skill Neurons in Pre-trained Transformer-based Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CStory: A Chinese Large-scale News Storyline Dataset.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects.

[BibT_eX]

[DOI]

Mian Guo

Kai Zhong

Xiaozhi Wang

Proceedings of the 7th International Conference on Automation, 2022

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Spatiotemporal retrieval of dynamic video object trajectories in geographical scenes.

[BibT_eX]

[DOI]

Trans. GIS, 2021

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2021

Two-objective robust job-shop scheduling with two problem-specific neighborhood structures.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2021

A greedy algorithm for the fault-tolerant outer-connected dominating set problem.

[BibT_eX]

[DOI]

J. Comb. Optim., 2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.

[BibT_eX]

[DOI]

CoRR, 2021

On Transferability of Prompt Tuning for Natural Language Understanding.

[BibT_eX]

[DOI]

CoRR, 2021

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, 2021

SHUOWEN-JIEZI: Linguistically Informed Tokenizers For Chinese Language Model Pretraining.

[BibT_eX]

[DOI]

CoRR, 2021

CPM: A large-scale generative Chinese Pre-trained language model.

[BibT_eX]

[DOI]

AI Open, 2021

CLEVE: Contrastive Pre-training for Event Extraction.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Adversarial Language Games for Advanced Natural Language Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural Gibbs Sampling for Joint Event Argument Extraction.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

MAVEN: A Massive General Domain Event Detection Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Train No Evil: Selective Masking for Task-Guided Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Bad-scenario-set robust scheduling for a job shop to hedge against processing time uncertainty.

[BibT_eX]

[DOI]

Bing Wang

Xiaozhi Wang

Hanxin Xie

Int. J. Prod. Res., 2019

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Language Games for Advanced Natural Language Intelligence.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Training for Weakly Supervised Event Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

HMEAE: Hierarchical Modular Event Argument Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

A hybrid local-search algorithm for robust job-shop scheduling under scenarios.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

Adversarial Multi-lingual Neural Relation Extraction.

[BibT_eX]

[DOI]