Xiaopeng Li
22 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (7) π Conference Polyglot (7) π Cross-Pollinator (13)
π
Conference Polyglot
(7)
π
Academic Marathon
(7)
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π₯
Mega-Team
(25)
ποΈ
Keyword Collector
(92)
β‘
Prolific Year
(6)
π
Century Club
(18)
β
The Questioner
Conferences
ACL (7)
AAAI (6)
EMNLP (3)
ICLR (2)
NIPS (2)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
large language model
(7)
code generation
(5)
attention mechanism
(3)
knowledge update
(2)
jailbreak attack
(2)
query expansion
(2)
retrieval-augmented generation
(2)
zero-shot learning
(1)
catastrophic forgetting
(1)
contrastive learning
(1)
unsupervised clustering
(1)
image retrieval
(1)
code completion
(1)
text classification
(1)
domain adaptation
(1)
continual learning
(1)
factual knowledge
(1)
prompt engineering
(1)
feature learning
(1)
preference alignment
(1)
Papers
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
AAAI 2026
MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
ACL 2026
JPU: Bridging Jailbreak Defense and Unlearning via On-Policy Path Rectification
ACL 2026
Leveraging Image as Compressed Visual Prompt and Hierarchical Visual Knowledge for Effective Image Utilization in MLLMs
AAAI 2026
Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience
EMNLP 2025
Humanityβs Last Code Exam: Can Advanced LLMs Conquer Humanβs Hardest Code Competition?
EMNLP 2025
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
ACL 2025
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
AAAI 2025
Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation
EMNLP 2024
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
NIPS 2024
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024
PMET: Precise Model Editing in a Transformer
AAAI 2024
LeDex: Training LLMs to Better Self-Debug and Explain Code
NIPS 2024
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
NAACL 2024
A Static Evaluation of Code Completion by Large Language Models
ACL 2023
Multi-lingual Evaluation of Code Generation Models
ICLR 2023
Exploring Continual Learning for Code Generation Models
ACL 2023
ContraCLM: Contrastive Learning For Causal Language Model
ACL 2023
Not All Attention Is Needed: Gated Attention Network for Sequence Data
AAAI 2020
Learning to Abstract for Memory-augmented Conversational Response Generation
ACL 2019
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
ICLR 2019
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
IJCAI 2018