Guanting Dong
Orcid: 0000-0002-2318-0281
According to our database1,
Guanting Dong
authored at least 60 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
INSNER: A generative instruction-based prompting method for boosting performance in few-shot NER.
Inf. Process. Manag., 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
IEEE Trans. Computational Imaging, 2024
Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.
CoRR, 2024
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning.
CoRR, 2024
CoRR, 2024
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation.
CoRR, 2024
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.
CoRR, 2024
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery.
CoRR, 2024
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models.
CoRR, 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.
CoRR, 2024
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Type-Aware Decoding Via Explicitly Aggregating Event Information for Document-Level Event Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2024
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task.
Proceedings of the IEEE International Conference on Acoustics, 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.
CoRR, 2023
Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.
CoRR, 2023
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations.
CoRR, 2023
InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework.
CoRR, 2023
CoRR, 2023
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations.
CoRR, 2023
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People.
Proceedings of the IEEE International Conference on Acoustics, 2023
Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations.
Proceedings of the IEEE International Conference on Acoustics, 2023
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CoRR, 2022
RPPformer-Flow: Relative Position Guided Point Transformer for Scene Flow Estimation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Method for Detecting Micron Cracks on a Magnetic Rotor Surface Based on a Support Vector Machine.
IEEE Access, 2018