ReaderTrack: Reader-Book Interaction Reasoning Using RFID and Smartwatch. - Yufeng Deng; Dong Wang 024; Qian Zhang 012; Run Zhao; Bo Chen 023 (ICCCN, 2018)

RFree-ID: An Unobtrusive Human Identification System Irrespective of Walking Cofactors Using COTS RFID. - Qian Zhang 012; Dong Li 031; Run Zhao; Dong Wang 024; Yufeng Deng; Bo Chen 023 (PerCom, 2018)

SGRS: A sequential gesture recognition system using COTS RFID. - Bo Chen 023; Qian Zhang 012; Run Zhao; Dong Li 031; Dong Wang 024 (WCNC, 2018)

CFM: Convolutional Factorization Machines for Context-Aware Recommendation. - Xin Xin 003; Bo Chen 023; Xiangnan He 001; Dong Wang 024; Yue Ding 001; Joemon M. Jose (IJCAI, 2019)

AIRec: Attentive Intersection Model for Tag-Aware Recommendation. - Bo Chen 023; Dong Wang 024; Yue Ding 001; Xin Xin 003 (ISWC (Satellites), 2019)

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. - Bo Chen 023; Wei Guo 006; Ruiming Tang; Xin Xin 003; Yue Ding 001; Xiuqiang He 001; Dong Wang 024 (CIKM, 2020)

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. - Huifeng Guo; Bo Chen 023; Ruiming Tang; Zhenguo Li; Xiuqiang He 001 (CoRR, 2020)

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. - Bo Chen 023; Yichao Wang 002; Zhirong Liu; Ruiming Tang; Wei Guo 006; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Xiuqiang He 001 (CIKM, 2021)

Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. - Yue Ding 001; Yuxiang Shi; Bo Chen 023; Chenghua Lin; Hongtao Lu 001; Jie Li 002; Ruiming Tang; Dong Wang 024 (CIKM, 2021)

Extracting Attentive Social Temporal Excitation for Sequential Recommendation. - Yunzhe Li 001; Yue Ding 001; Bo Chen 023; Xin Xin 003; Yule Wang; Yuxiang Shi; Ruiming Tang; Dong Wang 024 (CIKM, 2021)

An Embedding Learning Framework for Numerical Features in CTR Prediction. - Huifeng Guo; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Zhenguo Li; Xiuqiang He 001 (KDD, 2021)

ModularNAS: Towards Modularized and Reusable Neural Architecture Search. - Yunfeng Lin; Guilin Li 001; Xing Zhang; Weinan Zhang 001; Bo Chen 023; Ruiming Tang; Zhenguo Li; Jiashi Feng; Yong Yu 001 (MLSys, 2021)

AIRec: Attentive intersection model for tag-aware recommendation. - Bo Chen 023; Yue Ding 001; Xin Xin 003; Yunzhe Li 001; Yule Wang; Dong Wang 024 (Neurocomputing, 2021)

Numerical Feature Representation with Hybrid N-ary Encoding. - Bo Chen 023; Huifeng Guo; Weiwen Liu; Yue Ding 001; Yunzhe Li 001; Wei Guo 006; Yichao Wang 002; Zhicheng He 001; Ruiming Tang; Rui Zhang 003 (CIKM, 2022)

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. - Xiangyang Li; Bo Chen 023; Huifeng Guo; Jingjie Li; Chenxu Zhu; Xiang Long; Sujian Li; Yichao Wang 002; Wei Guo 006; Longxia Mao; Jinxing Liu; Zhenhua Dong; et al. (CIKM, 2022)

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. - Hengyu Zhang 001; Enming Yuan; Wei Guo 006; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Xiu Li 001; Ruiming Tang (CIKM, 2022)

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. - Wei Guo 006; Can Zhang 007; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003 (ICDE, 2022)

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. - Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (ICDM, 2022)

Neural Re-ranking in Multi-stage Recommender Systems: A Review. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Fei Sun; Bo Chen 023; Weinan Zhang 001; Rui Zhang 003; Ruiming Tang (IJCAI, 2022)

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. - Yichao Wang 002; Huifeng Guo; Bo Chen 023; Weiwen Liu; Zhirong Liu; Qi Zhang 001; Zhicheng He 001; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Zhenhua Dong; Ruiming Tang (KDD, 2022)

Neural Re-ranking for Multi-stage Recommender Systems. - Weiwen Liu; Jiarui Qin; Ruiming Tang; Bo Chen 023 (RecSys, 2022)

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. - Jiarui Qin; Jiachen Zhu 001; Bo Chen 023; Zhirong Liu; Weiwen Liu; Ruiming Tang; Rui Zhang 003; Yong Yu 001; Weinan Zhang 001 (SIGIR, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Automated Machine Learning for Deep Recommender Systems: A Survey. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (CoRR, 2022)

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation. - Yuxiang Shi; Yue Ding 001; Bo Chen 023; Yuyang Huang; Ruiming Tang; Dong Wang 024 (CoRR, 2022)

DFFM: Domain Facilitated Feature Modeling for CTR Prediction. - Wei Guo 006; Chenxu Zhu; Fan Yan; Bo Chen 023; Weiwen Liu; Huifeng Guo; Hongkun Zheng; Yong Liu 020; Ruiming Tang (CIKM, 2023)

HAMUR: Hyper Adapter for Multi-Domain Recommendation. - Xiaopeng Li; Fan Yan; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CIKM, 2023)

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. - Weitong Ou; Bo Chen 023; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Wei Xia 001; Xuan Li; Ruiming Tang; Yong Yu 001 (CIKM, 2023)

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. - Weitong Ou; Bo Chen 023; Yingxuan Yang; Xinyi Dai; Weiwen Liu; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (KDD, 2023)

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. - Yujun Li; Xing Tang 007; Bo Chen 023; Yimin Huang; Ruiming Tang; Zhenguo Li (RecSys, 2023)

AutoTransfer: Instance Transfer for Cross-Domain Recommendations. - Jingtong Gao; Xiangyu Zhao 001; Bo Chen 023; Fan Yan; Huifeng Guo; Ruiming Tang (SIGIR, 2023)

Single-shot Feature Selection for Multi-task Recommendations. - Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang; Zhenhua Dong (SIGIR, 2023)

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. - Yuhao Wang 006; Xiangyu Zhao 001; Bo Chen 023; Qidong Liu 002; Huifeng Guo; Huanshuo Liu; Yichao Wang 002; Rui Zhang 003; Ruiming Tang (SIGIR, 2023)

AutoML for Deep Recommender Systems: Fundamentals and Advances. - Ruiming Tang; Bo Chen 023; Yejing Wang; Huifeng Guo; Yong Liu 020; Wenqi Fan; Xiangyu Zhao 001 (WSDM, 2023)

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. - Chenxu Zhu; Bo Chen 023; Huifeng Guo; Hang Xu 004; Xiangyang Li; Xiangyu Zhao 001; Weinan Zhang 001; Yong Yu 001; Ruiming Tang (WSDM, 2023)

Compressed Interaction Graph based Framework for Multi-behavior Recommendation. - Wei Guo 006; Chang Meng; Enming Yuan; Zhicheng He 001; Huifeng Guo; Yingxue Zhang 001; Bo Chen 023; Yaochen Hu 001; Ruiming Tang; Xiu Li 001; Rui Zhang 003 (WWW, 2023)

Multi-Task Deep Recommender Systems: A Survey. - Yuhao Wang 006; Ha Tsz Lam; Yi Wong; Ziru Liu; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CoRR, 2023)

CTRL: Connect Tabular and Language Model for CTR Prediction. - Xiangyang Li; Bo Chen 023; Lu Hou 002; Ruiming Tang (CoRR, 2023)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; Ruiming Tang; Weinan Zhang 001 (CoRR, 2023)

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Jieming Zhu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Rui Zhang 003; Yong Yu 001 (CoRR, 2023)

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CoRR, 2023)

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2023)

AIM: Automatic Interaction Machine for Click-Through Rate Prediction. - Chenxu Zhu; Bo Chen 023; Weinan Zhang 001; Jincai Lai; Ruiming Tang; Xiuqiang He 001; Zhenguo Li; Yong Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Chuhan Wu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CCIR, 2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. - Jizheng Chen; Kounianhua Du; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CIKM, 2024)

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CIKM, 2024)

Retrieval-Oriented Knowledge for Click-Through Rate Prediction. - Huanshuo Liu; Bo Chen 023; Menghui Zhu; Jianghao Lin; Jiarui Qin; Hao Zhang 048; Yang Yang 001; Ruiming Tang (CIKM, 2024)

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CIKM, 2024)

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Yunjia Xi; Hangyu Wang; Xinyi Dai; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (KDD, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (KDD, 2024)

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (RecSys, 2024)

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Xiaoling Cai; Hong Zhu 003; Jieming Zhu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (RecSys, 2024)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. - Yang Yang 001; Bo Chen 023; Chenxu Zhu; Menghui Zhu; Xinyi Dai; Huifeng Guo; Muyu Zhang; Zhenhua Dong; Ruiming Tang (RecSys, 2024)

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. - Yuhao Wang 006; Ziru Liu; Yichao Wang 002; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang (WSDM, 2024)

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. - Jianghao Lin; Bo Chen 023; Hangyu Wang; Yunjia Xi; Yanru Qu; Xinyi Dai; Kangning Zhang; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (WWW, 2024)

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. - Jianghao Lin; Rong Shan; Chenxu Zhu; Kounianhua Du; Bo Chen 023; Shigang Quan; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (WWW, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Menghui Zhu; Bo Chen 023; Shuai Li 010; Ruiming Tang (CoRR, 2024)

LLM-enhanced Reranking in Recommender Systems. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Zijian Zhang 009; Wanyu Wang; Yuyang Ye 002; Shanru Lin; Huifeng Guo; Ruiming Tang (CoRR, 2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. - Jizheng Chen; Kounianhua Du; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (CoRR, 2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (CoRR, 2024)

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation. - Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Bo Chen 023; Rong Shan; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems. - Yunjia Xi; Hangyu Wang; Bo Chen 023; Jianghao Lin; Menghui Zhu; Weiwen Liu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Muyan Weng; Xiaoling Cai; Hong Zhu 003; Jieming Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

Beyond Positive History: Re-ranking with List-level Hybrid Feedback. - Muyan Weng; Yunjia Xi; Weiwen Liu; Bo Chen 023; Jianghao Lin; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

LIBER: Lifelong User Behavior Modeling Based on Large Language Models. - Chenxu Zhu; Shigang Quan; Bo Chen 023; Jianghao Lin; Xiaoling Cai; Hong Zhu 003; Xiangyang Li; Yunjia Xi; Weinan Zhang 001; Ruiming Tang (CoRR, 2024)

An Automatic Graph Construction Framework based on Large Language Models for Recommendation. - Rong Shan; Jianghao Lin; Chenxu Zhu; Bo Chen 023; Menghui Zhu; Kangning Zhang; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. - Ziru Liu; Kecheng Chen; Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (Knowl. Inf. Syst., 2024)

A Survey on Bid Optimization in Real-Time Bidding Display Advertising. - Weitong Ou; Bo Chen 023; Xinyi Dai; Weinan Zhang 001; Weiwen Liu; Ruiming Tang; Yong Yu 001 (ACM Trans. Knowl. Discov. Data, 2024)

A Comprehensive Survey on Automated Machine Learning for Recommendations. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (Trans. Recomm. Syst., 2024)

Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems. - Renting Rui; Yunjia Xi; Weiwen Liu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2025)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. - Yunjia Xi; Hangyu Wang; Bo Chen 023; Jianghao Lin; Menghui Zhu; Weiwen Liu; Ruiming Tang; Zhewei Wei; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2025)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Wanyu Wang; Huifeng Guo; Ruiming Tang (WWW, 2025)

Joint Modeling in Deep Recommender Systems. - Pengyue Jia; Jingtong Gao; Yejing Wang; Yuhao Wang 006; Xiaopeng Li; Qidong Liu 002; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (WWW (Companion Volume), 2025)

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. - Rong Shan; Jiachen Zhu 001; Jianghao Lin; Chenxu Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. - Ruiming Tang; Chenxu Zhu; Bo Chen 023; Weipeng Zhang; Menghui Zhu; Xinyi Dai; Huifeng Guo (CoRR, 2025)

Joint Modeling in Recommendations: A Survey. - Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Jingtong Gao; Yuhao Wang 006; Xiaopeng Li; Pengyue Jia; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2025)

Towards efficient and effective unlearning of large language models for recommendation. - Hangyu Wang; Jianghao Lin; Bo Chen 023; Yang Yang 001; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (Frontiers Comput. Sci., 2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Hao Zhang 048; Yong Liu 020; Chuhan Wu; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; et al. (ACM Trans. Inf. Syst., 2025)

Large language models make sample-efficient recommender systems. - Jianghao Lin; Xinyi Dai; Rong Shan; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (Frontiers Comput. Sci., 2025)

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation. - Yunjia Xi; Jianghao Lin; Menghui Zhu; Yongzhao Xiao; Zhuoying Ou; Jiaqi Liu; Tong Wan; Bo Chen 023; Weiwen Liu; Yasheng Wang; Ruiming Tang; Weinan Zhang 001; et al. (CoRR, 2025)

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey. - Jiachen Zhu 001; Menghui Zhu; Renting Rui; Rong Shan; Congmin Zheng; Bo Chen 023; Yunjia Xi; Jianghao Lin; Weiwen Liu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Generative Representational Learning of Foundation Models for Recommendation. - Zheli Zhou; Chenxu Zhu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2025)

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval. - Ruofan Hu; Yan Xia 006; Minjie Hong; Jieming Zhu; Bo Chen 023; Xiaoda Yang; Minghui Fang 002; Tao Jin 004 (CoRR, 2025)

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models. - Jianghao Lin; Xinyuan Wang; Xinyi Dai; Menghui Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)