Yasheng Wang
Orcid: 0000-0002-3221-0470
According to our database1,
Yasheng Wang
authored at least 84 papers
between 2010 and 2024.
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Bibliography
2024
CoRR, 2024
CoRR, 2024
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.
CoRR, 2024
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization.
CoRR, 2024
CoRR, 2024
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation.
CoRR, 2024
CoRR, 2024
PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.
CoRR, 2024
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks.
Mach. Intell. Res., April, 2023
Trans. Assoc. Comput. Linguistics, 2023
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue.
CoRR, 2023
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
History, Present and Future: Enhancing Dialogue Generation with Few-Shot History-Future Prompt.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions.
CoRR, 2022
CoRR, 2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding.
CoRR, 2022
PANGUBOT: Efficient Generative Dialogue Pre-training from Pre-trained Language Model.
CoRR, 2022
CoRR, 2022
Proceedings of the IEEE International Conference on Software Analysis, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
CoCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation Detection and Diagnosis.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation detection and diagnosis.
CoRR, 2021
CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems.
CoRR, 2021
CoRR, 2021
Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks.
CoRR, 2021
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021
Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
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 ACM Trans. Audio Speech Lang. Process., 2020
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning.
CoRR, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
2017
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
2010
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010