Guanting Dong

Orcid: 0000-0002-2318-0281

According to our database1, Guanting Dong authored at least 60 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
INSNER: A generative instruction-based prompting method for boosting performance in few-shot NER.
Inf. Process. Manag., 2025

PreAct: Prediction Enhances Agent's Planning Ability.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Recurrent Cross-Modality Fusion for Time-of-Flight Depth Denoising.
IEEE Trans. Computational Imaging, 2024

Progressive Multimodal Reasoning via Active Retrieval.
CoRR, 2024

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models.
CoRR, 2024

Smaller Language Models Are Better Instruction Evolvers.
CoRR, 2024

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation.
CoRR, 2024

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation.
CoRR, 2024

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.
CoRR, 2024

Qwen2 Technical Report.
CoRR, 2024

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning.
CoRR, 2024

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
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

PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability.
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

Knowledge Editing on Black-box Large Language Models.
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

Joint Flow Estimation from Point Clouds and Event Streams.
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

Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising.
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
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models.
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

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.
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
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems.
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

A Robust Contrastive Alignment Method for Multi-Domain Text Classification.
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

Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation.
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
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019

2018
Method for Detecting Micron Cracks on a Magnetic Rotor Surface Based on a Support Vector Machine.
IEEE Access, 2018


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