Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. - Ziqi Liu; Dong Wang 062; Qianyu Yu 001; Zhiqiang Zhang 012; Yue Shen; Jian Ma; Wenliang Zhong; Jinjie Gu; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (CIKM, 2019)

Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. - Zhining Liu 001; Dawei Zhou 003; Yada Zhu; Jinjie Gu; Jingrui He (AAAI, 2020)

Two-Stage Audience Expansion for Financial Targeting in Marketing. - Zhining Liu 001; Xiao-Fan Niu; Chenyi Zhuang; Yize Tan; Yixiang Mu; Jinjie Gu; Guannan Zhang (CIKM, 2020)

Hubble: An Industrial System for Audience Expansion in Mobile Marketing. - Chenyi Zhuang; Ziqi Liu; Zhiqiang Zhang 012; Yize Tan; Zhengwei Wu; Zhining Liu 001; Jianping Wei; Jinjie Gu; Guannan Zhang; Jun Zhou 011; Yuan Qi 001 (KDD, 2020)

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. - Li Yu; Zhengwei Wu; Tianchi Cai; Ziqi Liu; Zhiqiang Zhang 012; Lihong Gu; Xiaodong Zeng; Jinjie Gu (AAAI, 2021)

Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. - Xuanying Chen; Zhining Liu 001; Li Yu; Sen Li; Lihong Gu; Xiaodong Zeng; Yize Tan; Jinjie Gu (CIKM, 2021)

Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. - Ziqi Liu; Yue Shen; Xiaocheng Cheng; Qiang Li 022; Jianping Wei; Zhiqiang Zhang 012; Dong Wang 062; Xiaodong Zeng; Jinjie Gu; Jun Zhou 011 (CIKM, 2021)

LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. - Tianchi Cai; Daxi Cheng; Chen Liang; Ziqi Liu; Lihong Gu; Huizhi Xie; Zhiqiang Zhang 012; Xiaodong Zeng; Jinjie Gu (DASFAA (3), 2021)

User Retention: A Causal Approach with Triple Task Modeling. - Yang Zhang; Dong Wang 062; Qiang Li 022; Yue Shen; Ziqi Liu; Xiaodong Zeng; Zhiqiang Zhang 012; Jinjie Gu; Derek F. Wong (IJCAI, 2021)

Asynchronous Decentralized Online Learning. - Jiyan Jiang; Wenpeng Zhang 003; Jinjie Gu; Wenwu Zhu 001 (NeurIPS, 2021)

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. - Yun Yue; Yongchao Liu; Suo Tong; Minghao Li; Zhen Zhang; Chunyang Wen; Huanjun Bao; Lihong Gu; Jinjie Gu; Yixiang Mu (ECML/PKDD (3), 2021)

Graph Neural Network Based VC Investment Success Prediction. - Shiwei Lyu; Shuai Ling; Kaihao Guo; Haipeng Zhang 004; Kunpeng Zhang; Suting Hong; Qing Ke; Jinjie Gu (CoRR, 2021)

A framework for massive scale personalized promotion. - Yitao Shen; Yue Wang; Xingyu Lu; Feng Qi; Jia Yan; Yixiang Mu; Yao Yang; Yifan Peng; Jinjie Gu (CoRR, 2021)

A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning. - Tianchi Cai; Wenpeng Zhang 003; Lihong Gu; Xiaodong Zeng; Jinjie Gu (CoRR, 2021)

Imbalance-Aware Uplift Modeling for Observational Data. - Xuanying Chen; Zhining Liu 001; Li Yu; Liuyi Yao; Wenpeng Zhang 003; Yi Dong; Lihong Gu; Xiaodong Zeng; Yize Tan; Jinjie Gu (AAAI, 2022)

See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. - Shiwei Lyu; Hongbo Cai; Chaohe Zhang; Shuai Ling; Yue Shen; Xiaodong Zeng; Jinjie Gu; Guannan Zhang; Haipeng Zhang 004 (CIKM, 2022)

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. - Hao Qian 003; Qintong Wu; Minghao Li; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011; Lihong Gu; Jinjie Gu (CIKM, 2022)

Multiple Instance Learning for Uplift Modeling. - Yao Zhao; Haipeng Zhang 004; Shiwei Lyu; Ruiying Jiang; Jinjie Gu; Guannan Zhang (CIKM, 2022)

Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. - Weifan Wang 005; Xiaocheng Cheng; Ziqi Liu; Yu Lin; Yue Shen; Binbin Hu; Zhiqiang Zhang 012; Xiaodong Zeng; Jun Zhou 011; Jinjie Gu; Minnan Luo (ICDE, 2022)

Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction. - Yu Ma; Zhining Liu 001; Chenyi Zhuang; Yize Tan; Yi Dong; Wenliang Zhong; Jinjie Gu (KDD, 2022)

Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. - Yuzhou Cao; Tianchi Cai; Lei Feng 006; Lihong Gu; Jinjie Gu; Bo An 001; Gang Niu 001; Masashi Sugiyama (NeurIPS, 2022)

On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond. - Shiji Zhou; Wenpeng Zhang 003; Jiyan Jiang; Wenliang Zhong; Jinjie Gu; Wenwu Zhu 001 (NeurIPS, 2022)

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. - Zhaoxin Huan; Gongduo Zhang; Xiaolu Zhang; Jun Zhou 011; Qintong Wu; Lihong Gu; Jinjie Gu; Yong He 009; Yue Zhu; Linjian Mo (SIGIR, 2022)

Scope-aware Re-ranking with Gated Attention in Feed. - Hao Qian 003; Qintong Wu; Kai Zhang 038; Zhiqiang Zhang 012; Lihong Gu; Xiaodong Zeng; Jun Zhou 011; Jinjie Gu (WSDM, 2022)

A Multi-Task Learning Approach for Delayed Feedback Modeling. - Zhigang Huangfu; Gongduo Zhang; Zhengwei Wu; Qintong Wu; Zhiqiang Zhang 012; Lihong Gu; Jun Zhou 011; Jinjie Gu (WWW (Companion Volume), 2022)

Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. - Dan Yang 004; Binbin Hu; Xiaoyan Yang; Yue Shen; Zhiqiang Zhang 012; Jinjie Gu; Guannan Zhang (ICDE, 2023)

GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. - Xingyu Lu; Zhining Liu 001; Yanchu Guan; Hongxuan Zhang; Chenyi Zhuang; Wenqi Ma; Yize Tan; Jinjie Gu; Guannan Zhang (IJCAI, 2023)

Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. - Tianchi Cai; Shenliao Bao; Jiyan Jiang; Shiji Zhou; Wenpeng Zhang 003; Lihong Gu; Jinjie Gu; Guannan Zhang (SIGIR, 2023)

Alleviating Matching Bias in Marketing Recommendations. - Junpeng Fang; Qing Cui; Gongduo Zhang; Caizhi Tang; Lihong Gu; Longfei Li; Jinjie Gu; Jun Zhou 011; Fei Wu 001 (SIGIR, 2023)

GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. - Yankun Ren; Xinxing Yang; Xingyu Lu; Longfei Li; Jun Zhou 011; Jinjie Gu; Guannan Zhang (SIGIR, 2023)

Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. - Yang Zhang; Yue Shen; Dong Wang 062; Jinjie Gu; Guannan Zhang (SIGIR, 2023)

Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. - Tianchi Cai; Jiyan Jiang; Wenpeng Zhang 003; Shiji Zhou; Xierui Song; Li Yu; Lihong Gu; Xiaodong Zeng; Jinjie Gu; Guannan Zhang (WSDM, 2023)

Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. - Xiaoyan Yang; Dong Wang 062; Binbin Hu; Dan Yang 004; Yue Shen; Jinjie Gu; Zhiqiang Zhang 012; Shiwei Lyu; Haipeng Zhang 004; Guannan Zhang (WWW (Companion Volume), 2023)

Enhancing Recommender Systems with Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Y. Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (CoRR, 2023)

Leveraging Large Language Models for Pre-trained Recommender Systems. - Zhixuan Chu; Hongyan Hao; Xin Ouyang; Simeng Wang; Yan Wang 002; Yue Shen; Jinjie Gu; Qing Cui; Longfei Li; Siqiao Xue; James Y. Zhang; Sheng Li 001 (CoRR, 2023)

AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. - Zhaoxin Huan; Ke Ding; Ang Li; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (CoRR, 2023)

Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster. - Hongxuan Zhang; Zhining Liu 001; Jiaqi Zheng 001; Chenyi Zhuang; Jinjie Gu; Guihai Chen (CoRR, 2023)

Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory. - Lei Liu; Xiaoyan Yang; Yue Shen; Binbin Hu; Zhiqiang Zhang 012; Jinjie Gu; Guannan Zhang (CoRR, 2023)

From Beginner to Expert: Modeling Medical Knowledge into General LLMs. - Qiang Li 022; Xiaoyan Yang; Haowen Wang; Qin Wang; Lei Liu; Junjie Wang; Yang Zhang; Mingyuan Chu; Sen Hu; Yicheng Chen; Yue Shen; Cong Fan; et al. (CoRR, 2023)

ULMA: Unified Language Model Alignment with Demonstration and Point-wise Human Preference. - Tianchi Cai; Xierui Song; Jiyan Jiang; Fei Teng; Jinjie Gu; Guannan Zhang (CoRR, 2023)

Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning. - Haowen Wang; Tao Sun 018; Cong Fan; Jinjie Gu (CoRR, 2023)

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. - Chunjing Gan; Dan Yang 004; Binbin Hu; Ziqi Liu; Yue Shen; Zhiqiang Zhang 012; Jinjie Gu; Jun Zhou 011; Guannan Zhang (CoRR, 2023)

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup. - Maolin Wang 001; Yao Zhao; Jiajia Liu 002; Jingdong Chen; Chenyi Zhuang; Jinjie Gu; Ruocheng Guo; Xiangyu Zhao 001 (CoRR, 2023)

Intelligent Virtual Assistants with LLM-based Process Automation. - Yanchu Guan; Dong Wang 062; Zhixuan Chu; Shiyu Wang 001; Feiyue Ni; Ruihua Song; Longfei Li; Jinjie Gu; Chenyi Zhuang (CoRR, 2023)

RJUA-QA: A Comprehensive QA Dataset for Urology. - Shiwei Lyu; Chenfei Chi; Hongbo Cai; Lei Shi; Xiaoyan Yang; Lei Liu; Xiang Chen 016; Deng Zhao; Zhiqiang Zhang 012; Xianguo Lyu; Ming Zhang; Fangzhou Li; et al. (CoRR, 2023)

Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy. - Yao Zhao; Zhitian Xie; Chenyi Zhuang; Jinjie Gu (CoRR, 2023)

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. - Junpeng Fang; Gongduo Zhang; Qing Cui; Caizhi Tang; Lihong Gu; Longfei Li; Jinjie Gu; Jun Zhou 011 (AAAI, 2024)

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (AAAI, 2024)

MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. - Zhitian Xie; Yinger Zhang; Chenyi Zhuang; Qitao Shi; Zhining Liu 001; Jinjie Gu; Guannan Zhang (AAAI, 2024)

Unified Hallucination Detection for Multimodal Large Language Models. - Xiang Chen 016; Chenxi Wang; Yida Xue; Ningyu Zhang 001; Xiaoyan Yang; Qiang Li 022; Yue Shen; Lei Liang 002; Jinjie Gu; Huajun Chen (ACL (1), 2024)

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. - Hong Liu; Saisai Gong; Yixin Ji; Kaixin Wu; Jia Xu 013; Jinjie Gu (CIKM, 2024)

Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking. - Songhao Wu; Quan Tu; Mingjie Zhong; Hong Liu; Jia Xu 013; Jinjie Gu; Rui Yan 001 (CIKM, 2024)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. - Junjie Wang; Mingyang Chen; Binbin Hu; Dan Yang 004; Ziqi Liu; Yue Shen; Peng Wei; Zhiqiang Zhang 012; Jinjie Gu; Jun Zhou 011; Jeff Z. Pan; Wen Zhang 015; et al. (EMNLP (Findings), 2024)

Editing Conceptual Knowledge for Large Language Models. - Xiaohan Wang; Shengyu Mao; Shumin Deng; Yunzhi Yao; Yue Shen; Lei Liang 002; Jinjie Gu; Huajun Chen; Ningyu Zhang 001 (EMNLP (Findings), 2024)

DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. - Zhicheng An; Zhexu Gu; Li Yu; Ke Tu; Zhengwei Wu; Binbin Hu; Zhiqiang Zhang 012; Lihong Gu; Jinjie Gu (KDD, 2024)

FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering. - Tianchi Cai; Zhiwen Tan; Xierui Song; Tao Sun 018; Jiyan Jiang; Yunqi Xu; Yinger Zhang; Jinjie Gu (KDD, 2024)

RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. - Congyun Jin; Ming Zhang; Weixiao Ma; Yujiao Li; Yingbo Wang; Yabo Jia; Yuliang Du; Tao Sun 018; Haowen Wang; Cong Fan; Jinjie Gu; Chenfei Chi; et al. (KDD, 2024)

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. - Lei Liu; Xiaoyan Yang; Fangzhou Li; Chenfei Chi; Yue Shen; Shiwei Lyu; Ming Zhang; Xiaowei Ma; Xiangguo Lv; Liya Ma; Zhiqiang Zhang 012; Wei Xue; et al. (KDD, 2024)

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. - Junjie Wang; Dan Yang 004; Binbin Hu; Yue Shen; Wen Zhang 015; Jinjie Gu (KDD, 2024)

Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy. - Yao Zhao; Zhitian Xie; Chen Liang; Chenyi Zhuang; Jinjie Gu (KDD, 2024)

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. - Sheng Zhang 028; Maolin Wang 001; Xiangyu Zhao 001; Ruocheng Guo; Yao Zhao; Chenyi Zhuang; Jinjie Gu; Zijian Zhang 009; Hongzhi Yin (RecSys, 2024)

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. - Zhaoxin Huan; Ke Ding; Ang Li; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (SIGIR, 2024)

Trajectory Data Semi-fragile Watermarking Algorithm Considering Spatiotemporal Features. - Yuchen Hu; Changqing Zhu; Na Ren; Jinjie Gu (SpatialDI, 2024)

Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. - Junpeng Fang; Gongduo Zhang; Qing Cui; Lihong Gu; Longfei Li; Jinjie Gu; Jun Zhou 011 (WWW (Companion Volume), 2024)

Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation. - Maolin Wang 001; Yao Zhao; Jiajia Liu 002; Jingdong Chen; Chenyi Zhuang; Jinjie Gu; Ruocheng Guo; Xiangyu Zhao 001 (WWW (Companion Volume), 2024)

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. - Shaowei Wei; Zhengwei Wu; Xin Li 090; Qintong Wu; Zhiqiang Zhang 012; Jun Zhou 011; Lihong Gu; Jinjie Gu (WWW, 2024)

Token-free LLMs Can Generate Chinese Classical Poetry with More Accurate Format. - Chengyue Yu; Lei Zang; Jiaotuan Wang; Chenyi Zhuang; Jinjie Gu (CoRR, 2024)

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. - Junjie Wang; Dan Yang 004; Binbin Hu; Yue Shen; Ziqi Liu; Wen Zhang 015; Jinjie Gu; Zhiqiang Zhang 012 (CoRR, 2024)

OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy. - Haowen Wang; Tao Sun 018; Kaixiang Ji; Jian Wang; Cong Fan; Jinjie Gu (CoRR, 2024)

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems. - Sheng Zhang 028; Maolin Wang 001; Yao Zhao; Chenyi Zhuang; Jinjie Gu; Ruocheng Guo; Xiangyu Zhao 001; Zijian Zhang 009; Hongzhi Yin (CoRR, 2024)

Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies. - Zhixuan Chu; Yan Wang 002; Feng Zhu 011; Lu Yu 006; Longfei Li; Jinjie Gu (CoRR, 2024)

RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. - Congyun Jin; Ming Zhang; Xiaowei Ma; Yujiao Li; Yingbo Wang; Yabo Jia; Yuliang Du; Tao Sun 018; Haowen Wang; Cong Fan; Jinjie Gu; Chenfei Chi; et al. (CoRR, 2024)

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. - Lei Liu; Xiaoyan Yang; Fangzhou Li; Chenfei Chi; Yue Shen; Shiwei Lyu; Ming Zhang; Xiaowei Ma; Xianguo Lyu; Liya Ma; Zhiqiang Zhang 012; Wei Xue; et al. (CoRR, 2024)

Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction. - Yao Zhao; Zhining Liu 001; Tianchi Cai; Haipeng Zhang 004; Chenyi Zhuang; Jinjie Gu (CoRR, 2024)

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. - Chunjing Gan; Dan Yang 004; Binbin Hu; Hanxiao Zhang; Siyuan Li; Ziqi Liu; Yue Shen; Lin Ju; Zhiqiang Zhang 012; Jinjie Gu; Lei Liang 001; Jun Zhou 011 (CoRR, 2024)

A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions. - Lei Liu; Xiaoyan Yang; Junchi Lei; Xiaoyang Liu; Yue Shen; Zhiqiang Zhang 012; Peng Wei; Jinjie Gu; Zhixuan Chu; Zhan Qin; Kui Ren 001 (CoRR, 2024)

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment. - Xiaohan Wang; Xiaoyan Yang; Yuqi Zhu; Yue Shen; Jian Wang; Peng Wei; Lei Liang 002; Jinjie Gu; Huajun Chen; Ningyu Zhang 001 (CoRR, 2024)

Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by Demonstration. - Yanchu Guan; Dong Wang 062; Yan Wang 002; Haiqing Wang; Renen Sun; Chenyi Zhuang; Jinjie Gu; Zhixuan Chu (CoRR, 2024)

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation. - Hongxuan Zhang; Yao Zhao; Jiaqi Zheng 001; Chenyi Zhuang; Jinjie Gu; Guihai Chen (CoRR, 2024)

CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation. - Hongxuan Zhang; Yao Zhao; Jiaqi Zheng 001; Chenyi Zhuang; Jinjie Gu; Guihai Chen (AAAI, 2025)

Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. - Chunjing Gan; Dan Yang 004; Binbin Hu; Ziqi Liu; Yue Shen; Zhiqiang Zhang 012; Jinjie Gu; Jun Zhou 011; Guannan Zhang (ICDE, 2025)

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. - Kaixin Wu; Yixin Ji; Zeyuan Chen; Qiang Wang; Cunxiang Wang; Hong Liu; Baijun Ji; Jia Xu 013; Zhongyi Liu; Jinjie Gu; Yuan Zhou; Linjian Mo (NAACL (Industry Track), 2025)

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents. - Yuqi Zhu; Shuofei Qiao; Yixin Ou; Shumin Deng; Shiwei Lyu; Yue Shen; Lei Liang 002; Jinjie Gu; Huajun Chen; Ningyu Zhang 001 (NAACL (Findings), 2025)

A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future. - Jialun Zhong; Wei Shen; Yanzeng Li; Songyang Gao; Hua Lu 017; Yicheng Chen; Yang Zhang; Wei Zhou; Jinjie Gu; Lei Zou 001 (CoRR, 2025)

FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement. - Bingguang Hao; Maolin Wang 001; Zengzhuang Xu; Cunyin Peng; Yicheng Chen; Xiangyu Zhao 001; Jinjie Gu; Chenyi Zhuang (CoRR, 2025)

RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism. - Zhiwen Tan; Jiaming Huang; Qintong Wu; Hongxuan Zhang; Chenyi Zhuang; Jinjie Gu (CoRR, 2025)

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation. - ZheHao Tan; YiHan Jiao; Dan Yang 004; Lei Liu; Jie Feng; DuoLin Sun; Yue Shen; Jian Wang; Peng Wei; Jinjie Gu (CoRR, 2025)

Exploring Superior Function Calls via Reinforcement Learning. - Bingguang Hao; Maolin Wang 001; Zengzhuang Xu; Yicheng Chen; Cunyin Peng; Jinjie Gu; Chenyi Zhuang (CoRR, 2025)

Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment. - Haowen Wang; Yun Yue; Zhiling Ye; Shuowen Zhang; Lei Fan; Jiaxin Liang; Jiadi Jiang; Cheng Wei; Jingyuan Deng; Xudong Han; Ji Li; Chunxiao Guo; et al. (CoRR, 2025)

DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval. - Meixiu Long; DuoLin Sun; Dan Yang 004; Junjie Wang; Yue Shen; Jian Wang; Peng Wei; Jinjie Gu; Jiahai Wang (CoRR, 2025)

Profile-Aware Maneuvering: A Dynamic Multi-Agent System for Robust GAIA Problem Solving by AWorld. - Zhitian Xie; Qintong Wu; Chengyue Yu; Chenyi Zhuang; Jinjie Gu (CoRR, 2025)

V2P: From Background Suppression to Center Peaking for Robust GUI Grounding Task. - Jikai Chen; Long Chen; Dong Wang 062; Leilei Gan; Chenyi Zhuang; Jinjie Gu (CoRR, 2025)

MedResearcher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework. - Ailing Yu; Lan Yao; Jingnan Liu; Zhe Chen; Jiajun Yin; Yuan Wang; Xinhao Liao; Zhiling Ye; Ji Li; Yun Yue; Hansong Xiao; Hualei Zhou; et al. (CoRR, 2025)