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Jinjie Gu
34 papers at tracked venues · 27 at CORE A* · active 2024–2026
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ORCID 0000-0001-7596-4945 ↗
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Venues
ACL
×8
AAAI
×6
SIGKDD
×6
WWW
×3
CIKM
×2
EMNLP
×2
NAACL
×2
SIGIR
×2
ICDE
×1
NeurIPS
×1
RecSys
×1
Frequent coauthors
Junjie Wang
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Lei Liu
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Junpeng Fang
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Bingguang Hao
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Shiwei Lyu
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Meixiu Long
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Fan Xu
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Yue He
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Zhehao Tan
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Zhiwen Tan
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Kaixin Wu
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Hongxuan Zhang
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Papers
BalanceSFT: Improving LLM Function Calling with Balanced Training Signals and Data Hardness
ACL 2026
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Bingguang Hao
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ClinAlign: Scaling Healthcare Alignment from Clinician Preference
ACL 2026
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Shiwei Lyu
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GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs
ACL 2026
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Meixiu Long
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HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy
ACL 2026
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Fan Xu
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MedNQS: Medical State-Aware Dual-Stage Next-Turn Question Suggestion for Online Medical Consultations
SIGIR 2026
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Yue He
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PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation
AAAI 2026
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Zhehao Tan
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Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
ACL 2026
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Lei Liu
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RAG-R1: Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism
AAAI 2026
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Zhiwen Tan
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WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning
ACL 2026
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Junjie Wang
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CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
NAACL 2025
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Kaixin Wu
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CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation
AAAI 2025
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Hongxuan Zhang
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Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
NeurIPS 2025
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Xuefeng Zhu
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Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
ICDE 2025
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Chunjing Gan
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KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
NAACL 2025
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Yuqi Zhu
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Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
AAAI 2024
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Junpeng Fang
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Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning
CIKM 2024
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Hong Liu
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Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking
CIKM 2024
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Songhao Wu
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CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM
ACL 2024
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Chengyue Yu
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Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge
WWW 2024
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Junpeng Fang
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DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation
SIGKDD 2024
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Zhicheng An
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DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
RecSys 2024
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Sheng Zhang
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Editing Conceptual Knowledge for Large Language Models
EMNLP 2024
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Xiaohan Wang
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Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset
SIGIR 2024
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Zhaoxin Huan
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FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering
SIGKDD 2024
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Tianchi Cai
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Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs
SIGKDD 2024
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Junjie Wang
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LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
AAAI 2024
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Yan Wang
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Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation
WWW 2024
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Maolin Wang
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Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
EMNLP 2024
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Junjie Wang
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Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
WWW 2024
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Shaowei Wei
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Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy
SIGKDD 2024
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Yao Zhao
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MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts
AAAI 2024
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Zhitian Xie
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RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning
SIGKDD 2024
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Congyun Jin
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Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm
SIGKDD 2024
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Lei Liu
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Unified Hallucination Detection for Multimodal Large Language Models
ACL 2024
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Xiang Chen
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