Guanting Dong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
13
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration. | Yifei Chen, Guanting Dong, Zhicheng Dou |
| 2026 | ACL | ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use. | Mengjie Deng, Guanting Dong, Zhicheng Dou |
| 2026 | ACL | DecIF: Improving Instruction-Following through Decomposition. | Tingfeng Hui, Pengyu Zhu, Bowen Ping, Ling Tang, Guanting Dong, Yaqi Zhang, Sen Su |
| 2026 | ACL | EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis. | Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | WWW | Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning. | Guanting Dong, Licheng Bao, Zhongyuan Wang, Kangzhi Zhao, Xiaoxi Li, Jiajie Jin, Jinghan Yang, Hangyu Mao, Fuzheng Zhang, Kun Gai, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou |
| 2026 | WWW | DeepAgent: A General Reasoning Agent with Scalable Toolsets. | Xiaoxi Li, Wenxiang Jiao, Jiarui Jin, Guanting Dong, Jiajie Jin, Yinuo Wang, Hao Wang, Yutao Zhu, Ji-Rong Wen, Yuan Lu, Zhicheng Dou |
| 2026 | SIGIR | Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning. | Guanting Dong, Yifei Chen, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Yutao Zhu, Hangyu Mao, Guorui Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2026 | SIGIR | HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Search. | Jiajie Jin, Xiaoxi Li, Yuyao Zhang, Guanting Dong, Zhao Yang, Yutao Zhu, Zhicheng Dou |
| 2026 | SIGIR | SmartSearch: Process Reward-Guided Query Refinement for Search Agents. | Tongyu Wen, Guanting Dong, Zhicheng Dou |
| 2026 | SIGIR | Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation. | Chenghao Zhang, Guanting Dong, Xinyu Yang, Zhicheng Dou |
| 2025 | AAAI | Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. | Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | Progressive Multimodal Reasoning via Active Retrieval. | Guanting Dong, Chenghao Zhang, Mengjie Deng, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation. | Guanting Dong, Jiajie Jin, Xiaoxi Li, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen |
| 2025 | ACL | Hierarchical Document Refinement for Long-context Retrieval-augmented Generation. | Jiajie Jin, Xiaoxi Li, Guanting Dong, Yuyao Zhang, Yutao Zhu, Yongkang Wu, Zhonghua Li, Ye Qi, Zhicheng Dou |
| 2025 | ACL | V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me. | Runqi Qiao, Qiuna Tan, Guanting Dong, MinhuiWu MinhuiWu, Jiapeng Wang, Yifan Zhang, Zhuoma Gongque, Chong Sun, Yida Xu, Yadong Xue, Ye Tian, Zhimin Bao, Lan Yang, Chen Li, Honggang Zhang |
| 2025 | ACL | We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? | Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Jiapeng Wang, Zhuoma Gongque, Shanglin Lei, Yifan Zhang, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Xiao Zong, Yida Xu, Peiqing Yang, Zhimin Bao, Muxi Diao, Chen Li, Honggang Zhang |
| 2025 | CIKM | Unlocking the Potential of Smaller Language Models as Superior Instruction Evolvers. | Tingfeng Hui, Lulu Zhao, Guanting Dong, Yaqi Zhang, Sen Su |
| 2025 | COLING | PreAct: Prediction Enhances Agent's Planning Ability. | Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu |
| 2025 | EMNLP | Search-o1: Agentic Search-Enhanced Large Reasoning Models. | Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, Zhicheng Dou |
| 2025 | ICLR | Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. | Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2025 | ICLR | CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. | Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu |
| 2025 | NAACL | CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation. | Yiruo Cheng, Kelong Mao, Ziliang Zhao, Guanting Dong, Hongjin Qian, Yongkang Wu, Tetsuya Sakai, Ji-Rong Wen, Zhicheng Dou |
| 2025 | WWW | Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. | Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Ji-Rong Wen, Zhicheng Dou |
| 2025 | WWW | FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. | Jiajie Jin, Yutao Zhu, Zhicheng Dou, Guanting Dong, Xinyu Yang, Chenghao Zhang, Tong Zhao, Zhao Yang, Ji-Rong Wen |
| 2025 | WWW | Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. | Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu |
| 2024 | ACL | How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. | Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou |
| 2024 | ACL | MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. | Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou |
| 2024 | ACL | ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. | Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu |
| 2024 | ACL | DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. | Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai |
| 2024 | ECCV | Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising. | Guanting Dong, Yueyi Zhang, Xiaoyan Sun, Zhiwei Xiong |
| 2024 | ECCV | Boosting Medical Image Registration Network Inherently via Collaborative Learning. | Bo Hu, Guanting Dong, Yueyi Zhang, Zhiwei Xiong |
| 2024 | EMNLP | MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making. | Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou |
| 2024 | EMNLP | How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. | Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu |
| 2024 | ICASSP | Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. | Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu |
| 2024 | ICASSP | Type-Aware Decoding Via Explicitly Aggregating Event Information for Document-Level Event Extraction. | Gang Zhao, Yidong Shi, Shudong Lu, Xinjie Yang, Guanting Dong, Jian Xu, Xiaocheng Gong, Si Li |
| 2024 | NAACL | Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning. | Ge Bai, Chenji Lu, Daichi Guo, Shilong Li, Ying Liu, Zhang Zhang, Guanting Dong, Ruifang Liu, Yong Sun |
| 2023 | ACL | Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. | Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu |
| 2023 | ACL | Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task. | Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang |
| 2023 | CIKM | Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. | Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu |
| 2023 | CIKM | A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. | Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu |
| 2023 | EMNLP | DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. | Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu |
| 2023 | EMNLP | Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. | Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu |
| 2023 | EMNLP | Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. | Yuxiang Wu, Guanting Dong, Weiran Xu |
| 2023 | EMNLP | DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction. | Gang Zhao, Xiaocheng Gong, Xinjie Yang, Guanting Dong, Shudong Lu, Si Li |
| 2023 | ICASSP | A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. | Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu |
| 2023 | ICASSP | Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. | Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu |
| 2023 | ICASSP | Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People. | Mingyang Sun, QiXiang Gao, Yutao Mou, Guanting Dong, Ruifang Liu, Wenbin Guo |
| 2023 | ICTAI | Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement. | Shanglin Lei, Xiaoping Wang, Guanting Dong, Jiang Li, Yingjian Liu |
| 2022 | COLING | PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. | Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu |
| 2022 | CVPR | Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation. | Guanting Dong, Yueyi Zhang, Hanlin Li, Xiaoyan Sun, Zhiwei Xiong |
| 2022 | EMNLP | Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking. | QiXiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu |
| 2022 | EMNLP | Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. | Gang Zhao, Guanting Dong, Yidong Shi, Haolong Yan, Weiran Xu, Si Li |
| 2022 | ICASSP | A Robust Contrastive Alignment Method for Multi-Domain Text Classification. | Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang |
| 2020 | ECCV | Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising. | Guanting Dong, Yueyi Zhang, Zhiwei Xiong |