Linjian Mo

17 papers at tracked venues · 14 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-6682-1448 ↗Homepage ↗

Venues

SIGIR ×7 ACL ×3 WWW ×3 CIKM ×2 AAAI ×1 NAACL ×1

Frequent coauthors

Liang Zhang

×7

Yong He

×6

Jun Zhou

×5

Lei Cheng

×4

Ke Ding

×4

Xiaolu Zhang

×4

Qiuyi Qi

×3

Jinjian Zhang

×3

Mutian Bao

×3

Tian Liang

×3

Wei Zhou

×3

Ming Kong

×3

Papers

CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs
ACL 2026 ·
Qiuyi Qi
,
Jinjian Zhang
,
Mutian Bao
,
Tian Liang
,
Guocong Li
,
Dongnan Liu
,
Wei Zhou
,
Jie Liu
,
Ming Kong
, Linjian Mo,
Feng Zhang
,
Qiang Zhu
STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training
ACL 2026 ·
Qiuyi Qi
,
Tian Liang
,
Mutian Bao
,
Jinjian Zhang
,
Dongnan Liu
,
Wei Zhou
, Linjian Mo,
Ming Kong
,
Jie Liu
,
Feng Zhang
,
Qiang Zhu
UrbanGeoEval: A City-Scale Benchmark for Evaluating Large Language Models in Geospatial Reasoning
ACL 2026 ·
Mutian Bao
,
Qiuyi Qi
,
Tian Liang
,
Jinjian Zhang
,
Wei Zhou
,
Ming Kong
, Linjian Mo,
Qiang Zhu
A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System
SIGIR 2025 ·
Chao Xiong
,
Xianwen Yu
,
Wei Xu
,
Lei Cheng
,
Chuan Yuan
, Linjian Mo
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search
SIGIR 2025 ·
Yedan Shen
,
Kaixin Wu
,
Yuechen Ding
,
Jingyuan Wen
,
Hong Liu
,
Mingjie Zhong
,
Zhouhan Lin
,
Jia Xu
, Linjian Mo
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
NAACL 2025 ·
Kaixin Wu
,
Yixin Ji
,
Zeyuan Chen
,
Qiang Wang
,
Cunxiang Wang
,
Hong Liu
,
Baijun Ji
,
Jia Xu
,
Zhongyi Liu
,
Jinjie Gu
,
Yuan Zhou
, Linjian Mo
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval
AAAI 2025 ·
Penghao Lu
,
Xin Dong
,
Yuansheng Zhou
,
Lei Cheng
,
Chuan Yuan
, Linjian Mo
EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models
WWW 2025 ·
Zhaorui Lian
,
Binzong Geng
,
Xiyu Chang
,
Yu Zhang
,
Ke Ding
,
Ziyu Lyu
,
Guanghu Yuan
,
Chengming Li
,
Min Yang
,
Zhaoxin Huan
,
Bin Shen
,
Yong He
, Linjian Mo,
Liang Zhang
,
Xing Zhu
MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search
SIGIR 2025 ·
Qi Zheng
,
Mingjie Zhong
,
Saisai Gong
,
Huimin Jiang
,
Kaixin Wu
,
Hong Liu
,
Jia Xu
, Linjian Mo
Multi-Task Learning through Hierarchical Information Sharing and Transfer
CIKM 2025 ·
Yufan Mao
,
Jingran Xu
,
Liang Zhang
,
Xiyue Hou
,
Yongbo Jin
,
Yingming Li
, Linjian Mo
Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models
WWW 2025 ·
Xiyu Chang
,
Liang Zhang
,
Yong He
,
Binzong Geng
,
Ke Ding
,
Xing Zhu
,
Jian Cao
, Linjian Mo
Aligned Side Information Fusion Method for Sequential Recommendation
WWW 2024 ·
Shuhan Wang
,
Bin Shen
,
Xu Min
,
Yong He
,
Xiaolu Zhang
,
Liang Zhang
,
Jun Zhou
, Linjian Mo
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
SIGIR 2024 ·
Binzong Geng
,
Zhaoxin Huan
,
Xiaolu Zhang
,
Yong He
,
Liang Zhang
,
Fajie Yuan
,
Jun Zhou
, Linjian Mo
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models
SIGIR 2024 ·
Yankun Ren
,
Zhongde Chen
,
Xinxing Yang
,
Longfei Li
,
Cong Jiang
,
Lei Cheng
,
Bo Zhang
, Linjian Mo,
Jun Zhou
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset
SIGIR 2024 ·
Zhaoxin Huan
,
Ke Ding
,
Ang Li
,
Xiaolu Zhang
,
Xu Min
,
Yong He
,
Liang Zhang
,
Jun Zhou
, Linjian Mo,
Jinjie Gu
,
Zhongyi Liu
,
Wenliang Zhong
,
Guannan Zhang
,
Chenliang Li
,
Fajie Yuan
GATS: Generative Audience Targeting System for Online Advertising
SIGIR 2024 ·
Cong Jiang
,
Zhongde Chen
,
Bo Zhang
,
Yankun Ren
,
Xin Dong
,
Lei Cheng
,
Xinxing Yang
,
Longfei Li
,
Jun Zhou
, Linjian Mo
MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation
CIKM 2024 ·
Guanghu Yuan
,
Jieyu Yang
,
Shujie Li
,
Mingjie Zhong
,
Ang Li
,
Ke Ding
,
Yong He
,
Min Yang
,
Liang Zhang
,
Xiaolu Zhang
, Linjian Mo