Jinjie GU
23 papers · 2020–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (58) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(15)
Core AI
(14)
Learning Types Β· Machine Learning
(10)
Natural Language Processing
(7)
Application Areas
(7)
Deep Learning
(5)
Optimization & Theory
(5)
Core Methods
(4)
Mathematics & Optimization
(3)
Applications
(3)
Generation
(3)
Learning Types Β· Deep Learning
(3)
Optimization
(3)
Data Science & Analytics
(2)
Keywords
large language model
(4)
causal inference
(4)
retrieval-augmented generation
(3)
continual pre-training
(2)
gradient descent
(2)
graph neural network
(2)
hallucination detection
(2)
model compression
(2)
recommendation system
(2)
knowledge distillation
(2)
recommender system
(2)
natural language generation
(1)
multi-task learning
(1)
question answering
(1)
in-context learning
(1)
knowledge editing
(1)
link prediction
(1)
empirical risk minimization
(1)
data subset selection
(1)
reinforcement learning
(1)
Papers
HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy
ACL 2026
Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
ACL 2026
PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation
AAAI 2026
RAG-R1:Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism
AAAI 2026
WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning
ACL 2026
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
NAACL 2025
CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation
AAAI 2025
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
NAACL 2025
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
AAAI 2024
CharPoet: A Chinese Classical Poetry Generation System Based on Token-free LLM
ACL 2024
Editing Conceptual Knowledge for Large Language Models
EMNLP 2024
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
EMNLP 2024
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
AAAI 2024
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts
AAAI 2024
Unified Hallucination Detection for Multimodal Large Language Models
ACL 2024
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
IJCAI 2023
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses
NeurIPS 2022
Imbalance-Aware Uplift Modeling for Observational Data
AAAI 2022
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
NeurIPS 2022
Asynchronous Decentralized Online Learning
NeurIPS 2021
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing
AAAI 2021
User Retention: A Causal Approach with Triple Task Modeling
IJCAI 2021
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
AAAI 2020