Method for Detecting Micron Cracks on a Magnetic Rotor Surface Based on a Support Vector Machine. - Haodi Hu; Guanting Dong; Bo Peng; Jian Xing; Wenlong Song (IEEE Access, 2018)

AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results. - Andrey Ignatov; Praveen Kandula; Maitreya Suin; A. N. Rajagopalan 001; Zhiwei Xiong; Jie Huang 017; Guanting Dong; Mingde Yao; Dong Liu 002; Wenjin Yang; Ming Hong; Wenying Lin; et al. (ICCV Workshops, 2019)

Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising. - Guanting Dong; Yueyi Zhang; Zhiwei Xiong (ECCV (24), 2020)

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. - Guanting Dong; Daichi Guo; Liwen Wang; Xuefeng Li 002; Zechen Wang; Chen Zeng; Keqing He 001; Jinzheng Zhao; Hao Lei; Xinyue Cui; Yi Huang; Junlan Feng; et al. (COLING, 2022)

Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation. - Guanting Dong; Yueyi Zhang; Hanlin Li; Xiaoyan Sun 001; Zhiwei Xiong (CVPR, 2022)

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 (EMNLP, 2022)

Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. - Gang Zhao; Guanting Dong; Yidong Shi; Haolong Yan; Weiran Xu; Si Li 001 (EMNLP (Findings), 2022)

A Robust Contrastive Alignment Method for Multi-Domain Text Classification. - Xuefeng Li 002; Hao Lei; Liwen Wang; Guanting Dong; Jinzheng Zhao; Jiachi Liu; Weiran Xu; Chunyun Zhang (ICASSP, 2022)

RPPformer-Flow: Relative Position Guided Point Transformer for Scene Flow Estimation. - Hanlin Li; Guanting Dong; Yueyi Zhang; Xiaoyan Sun 001; Zhiwei Xiong (ACM Multimedia, 2022)

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. - Weihao Zeng; Keqing He 001; Zechen Wang; Dayuan Fu; Guanting Dong; Ruotong Geng; Pei Wang; Jingang Wang; Chaobo Sun; Wei Wu 014; Weiran Xu (CoRR, 2022)

Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. - Xuefeng Li 002; Liwen Wang; Guanting Dong; Keqing He 001; Jinzheng Zhao; Hao Lei; Jiachi Liu; Weiran Xu (ACL (Findings), 2023)

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 001; Hongzhi Zhang (ACL (Findings), 2023)

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 (CIKM, 2023)

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 001; Xuefeng Li 002; Liwen Wang; Xinyue Cui; et al. (CIKM, 2023)

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 001; Weiran Xu (EMNLP (Findings), 2023)

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. - Xiaoshuai Song; Keqing He 001; Pei Wang; Guanting Dong; Yutao Mou; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (EMNLP, 2023)

Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. - Yuxiang Wu; Guanting Dong; Weiran Xu (EMNLP (Findings), 2023)

DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction. - Gang Zhao; Xiaocheng Gong; Xinjie Yang; Guanting Dong; Shudong Lu; Si Li 001 (EMNLP (Findings), 2023)

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 002; Tingfeng Hui; Keqing He 001; Xinyue Cui; QiXiang Gao; et al. (ICASSP, 2023)

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 002; Zechen Wang; Keqing He 001; Xinyue Cui; Weiran Xu (ICASSP, 2023)

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 (ICASSP Workshops, 2023)

Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement. - Shanglin Lei; Xiaoping Wang 001; Guanting Dong; Jiang Li 004; Yingjian Liu (ICTAI, 2023)

Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. - Guanting Dong; Jinxu Zhao; Tingfeng Hui; Daichi Guo; Wenlong Wang; Boqi Feng; Yueyan Qiu; Zhuoma Gongque; Keqing He 001; Zechen Wang; Weiran Xu (NLPCC (1), 2023)

Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. - Daichi Guo; Guanting Dong; Dayuan Fu; Yuxiang Wu; Chen Zeng; Tingfeng Hui; Liwen Wang; Xuefeng Li 002; Zechen Wang; Keqing He 001; Xinyue Cui; Weiran Xu (CoRR, 2023)

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models. - Zheng Yuan 002; Hongyi Yuan; Chengpeng Li 001; Guanting Dong; Chuanqi Tan; Chang Zhou (CoRR, 2023)

InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework. - Shanglin Lei; Guanting Dong; Xiaoping Wang 001; Keheng Wang; Sirui Wang (CoRR, 2023)

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. - Jiachi Liu; Liwen Wang; Guanting Dong; Xiaoshuai Song; Zechen Wang; Zhengyang Wang; Shanglin Lei; Jinzheng Zhao; Keqing He 001; Bo Xiao; Weiran Xu (CoRR, 2023)

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. - Chengpeng Li 001; Zheng Yuan 002; Hongyi Yuan; Guanting Dong; Keming Lu; Jiancan Wu; Chuanqi Tan; Xiang Wang 010; Chang Zhou (CoRR, 2023)

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. - Haoran Luo 001; Haihong E; Zichen Tang; Shiyao Peng; Yikai Guo; Wentai Zhang 004; Chenghao Ma; Guanting Dong; Meina Song; Wei Lin (CoRR, 2023)

OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models. - Mingfeng Xue; Dayiheng Liu; Kexin Yang 002; Guanting Dong; Wenqiang Lei; Zheng Yuan 002; Chang Zhou; Jingren Zhou 001 (CoRR, 2023)

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. - Guanting Dong; Hongyi Yuan; Keming Lu; Chengpeng Li 001; Mingfeng Xue; Dayiheng Liu; Wei Wang 225; Zheng Yuan 002; Chang Zhou; Jingren Zhou 001 (ACL (1), 2024)

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. - Chengpeng Li 001; Zheng Yuan 002; Hongyi Yuan; Guanting Dong; Keming Lu; Jiancan Wu; Chuanqi Tan; Xiang Wang 010; Chang Zhou (ACL (1), 2024)

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. - Haoran Luo 001; Haihong E; Zichen Tang; Shiyao Peng; Yikai Guo; Wentai Zhang 004; Chenghao Ma; Guanting Dong; Meina Song; Wei Lin; Yifan Zhu 001; Anh Tuan Luu (ACL (Findings), 2024)

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. - Yejie Wang; Keqing He 001; Guanting Dong; Pei Wang; Weihao Zeng; Muxi Diao; Weiran Xu; Jingang Wang; Mengdi Zhang 002; Xunliang Cai (ACL (1), 2024)

Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising. - Guanting Dong; Yueyi Zhang; Xiaoyan Sun 001; Zhiwei Xiong (ECCV (22), 2024)

Boosting Medical Image Registration Network Inherently via Collaborative Learning. - Bo Hu 014; Guanting Dong; Yueyi Zhang; Zhiwei Xiong (ECCV Workshops (16), 2024)

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 002 (EMNLP, 2024)

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. - Yejie Wang; Keqing He 001; Dayuan Fu; Zhuoma Gongque; Heyang Xu; Yanxu Chen; Zhexu Wang; Yujia Fu; Guanting Dong; Muxi Diao; Jingang Wang; Mengdi Zhang 002; et al. (EMNLP, 2024)

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 (ICASSP, 2024)

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 001 (ICASSP, 2024)

Joint Flow Estimation from Point Clouds and Event Streams. - Hanlin Li; Yueyi Zhang; Guanting Dong; Shida Sun; Zhiwei Xiong (ICME, 2024)

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 (NAACL (Short Papers), 2024)

Knowledge Editing on Black-box Large Language Models. - Xiaoshuai Song; Zhengyang Wang; Keqing He 001; Guanting Dong; Yutao Mou; Jinxu Zhao; Weiran Xu (CoRR, 2024)

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. - Yejie Wang; Keqing He 001; Guanting Dong; Pei Wang; Weihao Zeng; Muxi Diao; Yutao Mou; Mengdi Zhang 002; Jingang Wang; Xunliang Cai; Weiran Xu (CoRR, 2024)

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. - Pei Wang; Yejie Wang; Muxi Diao; Keqing He 001; Guanting Dong; Weiran Xu (CoRR, 2024)

PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. - Dayuan Fu; Jianzhao Huang; Siyuan Lu; Guanting Dong; Yejie Wang; Keqing He 001; Weiran Xu (CoRR, 2024)

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? - Runqi Qiao; Qiuna Tan; Guanting Dong; Minhui Wu; Chong Sun; Xiaoshuai Song; Zhuoma Gongque; Shanglin Lei; Zhe Wei; Miaoxuan Zhang; Runfeng Qiao; Yifan Zhang; et al. (CoRR, 2024)

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning. - Chengpeng Li 001; Guanting Dong; Mingfeng Xue; Ru Peng; Xiang Wang 010; Dayiheng Liu (CoRR, 2024)

Qwen2 Technical Report. - An Yang; Baosong Yang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Zhou; Chengpeng Li 001; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Guanting Dong; Haoran Wei; et al. (CoRR, 2024)

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. - Yejie Wang; Keqing He 001; Dayuan Fu; Zhuoma Gongque; Heyang Xu; Yanxu Chen; Zhexu Wang; Yujia Fu; Guanting Dong; Muxi Diao; Jingang Wang; Mengdi Zhang 002; et al. (CoRR, 2024)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation. - Guanting Dong; Xiaoshuai Song; Yutao Zhu 001; Runqi Qiao; Zhicheng Dou; Ji-Rong Wen (CoRR, 2024)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation. - Yiruo Cheng; Kelong Mao; Ziliang Zhao; Guanting Dong; Hongjin Qian; Yongkang Wu; Tetsuya Sakai; Ji-Rong Wen; Zhicheng Dou (CoRR, 2024)

Smaller Language Models Are Better Instruction Evolvers. - Tingfeng Hui; Lulu Zhao; Guanting Dong; Yaqi Zhang; Hua Zhou; Sen Su (CoRR, 2024)

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models. - Yifan Zhang; Shanglin Lei; Runqi Qiao; Zhuoma Gongque; Xiaoshuai Song; Guanting Dong; Qiuna Tan; Zhe Wei; Peiqing Yang 003; Ye Tian; Yadong Xue; Xiaofei Wang; et al. (CoRR, 2024)

Recurrent Cross-Modality Fusion for Time-of-Flight Depth Denoising. - Guanting Dong; Yueyi Zhang; Xiaoyan Sun 001; Zhiwei Xiong (IEEE Trans. Computational Imaging, 2024)

Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. - Guanting Dong; Xiaoshuai Song; Yutao Zhu 001; Runqi Qiao; Zhicheng Dou; Ji-Rong Wen (AAAI, 2025)

Progressive Multimodal Reasoning via Active Retrieval. - Guanting Dong; Chenghao Zhang 001; Mengjie Deng; Yutao Zhu 001; Zhicheng Dou; Ji-Rong Wen (ACL (1), 2025)

RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation. - Guanting Dong; Jiajie Jin; Xiaoxi Li; Yutao Zhu 001; Zhicheng Dou; Ji-Rong Wen (ACL (1), 2025)

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation. - Jiajie Jin; Xiaoxi Li; Guanting Dong; Yuyao Zhang; Yutao Zhu 001; Yongkang Wu; Zhonghua Li; Ye Qi; Zhicheng Dou (ACL (1), 2025)

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; et al. (ACL (1), 2025)

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; et al. (ACL (1), 2025)

PreAct: Prediction Enhances Agent's Planning Ability. - Dayuan Fu; Jianzhao Huang; Siyuan Lu; Guanting Dong; Yejie Wang; Keqing He 001; Weiran Xu (COLING, 2025)

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. - Guanting Dong; Keming Lu; Chengpeng Li 001; Tingyu Xia; Bowen Yu 002; Chang Zhou; Jingren Zhou 001 (ICLR, 2025)

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; et al. (ICLR, 2025)

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 (NAACL (Findings), 2025)

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. - Guanting Dong; Yutao Zhu 001; Chenghao Zhang 001; Zechen Wang; Ji-Rong Wen; Zhicheng Dou (WWW, 2025)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research. - Jiajie Jin; Yutao Zhu 001; Zhicheng Dou; Guanting Dong; Xinyu Yang; Chenghao Zhang 001; Tong Zhao; Zhao Yang 006; Ji-Rong Wen (WWW (Companion Volume), 2025)

Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. - Xiaoshuai Song; Zhengyang Wang; Keqing He 001; Guanting Dong; Yutao Mou; Jinxu Zhao; Weiran Xu (WWW, 2025)

INSNER: A generative instruction-based prompting method for boosting performance in few-shot NER. - Peiwen Zhao; Chong Feng; Peiguang Li; Guanting Dong; Sirui Wang (Inf. Process. Manag., 2025)

Search-o1: Agentic Search-Enhanced Large Reasoning Models. - Xiaoxi Li; Guanting Dong; Jiajie Jin; Yuyao Zhang; Yujia Zhou 002; Yutao Zhu 001; Peitian Zhang; Zhicheng Dou (CoRR, 2025)

WebThinker: Empowering Large Reasoning Models with Deep Research Capability. - Xiaoxi Li; Jiajie Jin; Guanting Dong; Hongjin Qian; Yutao Zhu 001; Yongkang Wu; Ji-Rong Wen; Zhicheng Dou (CoRR, 2025)

Hierarchical Document Refinement for Long-context Retrieval-augmented Generation. - Jiajie Jin; Xiaoxi Li; Guanting Dong; Yuyao Zhang; Yutao Zhu 001; Yongkang Wu; Zhonghua Li; Qi Ye; Zhicheng Dou (CoRR, 2025)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning. - Guanting Dong; Yifei Chen 001; Xiaoxi Li; Jiajie Jin; Hongjin Qian; Yutao Zhu 001; Hangyu Mao; Guorui Zhou; Zhicheng Dou; Ji-Rong Wen (CoRR, 2025)

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation. - Guanting Dong; Xiaoxi Li; Yuyao Zhang; Mengjie Deng (CoRR, 2025)

Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search. - Jiajie Jin; Xiaoxi Li; Guanting Dong; Yuyao Zhang; Yutao Zhu 001; Zhao Yang 006; Hongjin Qian; Zhicheng Dou (CoRR, 2025)

Agentic Reinforced Policy Optimization. - Guanting Dong; Hangyu Mao; Kai Ma; Licheng Bao; Yifei Chen 001; Zhongyuan Wang 006; Zhongxia Chen; Jiazhen Du; Huiyang Wang; Fuzheng Zhang; Guorui Zhou; Yutao Zhu 001; et al. (CoRR, 2025)

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization. - Zhenpeng Su; Leiyu Pan; Xue Bai; Dening Liu; Guanting Dong; Jiaming Huang; Wenping Hu; Fuzheng Zhang; Kun Gai; Guorui Zhou (CoRR, 2025)

We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning. - Runqi Qiao; Qiuna Tan; Peiqing Yang 003; Yanzi Wang; Xiaowan Wang; Enhui Wan; Sitong Zhou; Guanting Dong; Yuchen Zeng; Yida Xu; Jie Wang; Chong Sun; et al. (CoRR, 2025)

Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration. - Yifei Chen 001; Guanting Dong; Yutao Zhu 001; Zhicheng Dou (CoRR, 2025)