Guanting Dong

Orcid: 0000-0002-2318-0281

Affiliations:
  • Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China (PhD)
  • Beijing University of Posts and Telecommunications, Beijing, China (2017 - 2024)


According to our database1, Guanting Dong authored at least 88 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation.
CoRR, May, 2026

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence.
CoRR, April, 2026

OmniGAIA: Towards Native Omni-Modal AI Agents.
CoRR, February, 2026

EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis.
CoRR, January, 2026

SmartSearch: Process Reward-Guided Query Refinement for Search Agents.
CoRR, January, 2026

DeepAgent: A General Reasoning Agent with Scalable Toolsets.
Proceedings of the ACM Web Conference 2026, 2026

Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning.
Proceedings of the ACM Web Conference 2026, 2026

DecIF: Improving Instruction-Following through Decomposition.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
V-Thinker: Interactive Thinking with Images.
CoRR, November, 2025

ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use.
CoRR, October, 2025

DeepAgent: A General Reasoning Agent with Scalable Toolsets.
CoRR, October, 2025

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation.
CoRR, October, 2025

Agentic Entropy-Balanced Policy Optimization.
CoRR, October, 2025

Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning.
CoRR, September, 2025

Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration.
CoRR, August, 2025

We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning.
CoRR, August, 2025

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization.
CoRR, August, 2025

Agentic Reinforced Policy Optimization.
CoRR, July, 2025

Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search.
CoRR, July, 2025

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation.
CoRR, June, 2025

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning.
CoRR, May, 2025

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation.
CoRR, May, 2025

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

Towards robust and generalizable training: An empirical study of noisy slot filling for input perturbations.
Neurocomputing, 2025

Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing.
Proceedings of the ACM on Web Conference 2025, 2025

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation.
Proceedings of the ACM on Web Conference 2025, 2025

WebThinker: Empowering Large Reasoning Models with Deep Research Capability.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

OCR-Critic: Aligning Multimodal Large Language Models' Perception through Critical Feedback.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Search-o1: Agentic Search-Enhanced Large Reasoning Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Unlocking the Potential of Smaller Language Models as Superior Instruction Evolvers.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Progressive Multimodal Reasoning via Active Retrieval.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

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

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

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

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


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