Ge Yu
23 papers · 2013–2026 · 7 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 (60) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(16)
π
Conference Pioneer
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(98)
Top co-authors
Research topics
Artificial Intelligence
(16)
Core AI
(16)
Deep Learning
(13)
Natural Language Processing
(13)
Machine Learning
(12)
Learning Types Β· Machine Learning
(8)
Learning Types Β· Deep Learning
(8)
Applications
(7)
Core Methods
(5)
Resources & Methods
(5)
Architectures
(4)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Generation
(2)
Models
(2)
Keywords
large language model
(6)
dense retrieval
(4)
knowledge distillation
(3)
retrieval-augmented generation
(3)
direct preference optimization
(3)
neural network
(2)
contrastive learning
(2)
information retrieval
(2)
embedding space
(2)
chain-of-thought prompting
(2)
parameter-efficient fine-tuning
(2)
representation learning
(2)
semantic embedding
(2)
code generation
(2)
supervised fine-tuning
(2)
multimodal retrieval
(2)
language model pretraining
(2)
document understanding
(1)
gradient-based optimization
(1)
preference optimization
(1)
Papers
Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
ACL 2026
Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
ACL 2026
ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling
EACL 2026
Towards Efficient and Effective Diffusion Language Model Inference via Semantic-Aware Adaptive Denoising
ACL 2026
UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents
ACL 2026
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
NAACL 2025
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
EMNLP 2025
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
AAAI 2025
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
ACL 2025
MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models
ACL 2025
Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency
IJCAI 2025
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
ICLR 2025
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
ACL 2025
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
EMNLP 2025
Cleaner Pretraining Corpus Curation with Neural Web Scraping
ACL 2024
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
ACL 2024
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
ACL 2024
Soft Target-Enhanced Matching Framework for Deep Entity Matching
AAAI 2023
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
ACL 2023
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
ICLR 2023
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
AAAI 2019
Personalized Sentiment Classification Based on Latent Individuality of Microblog Users
IJCAI 2015
Is Twitter A Better Corpus for Measuring Sentiment Similarity?
EMNLP 2013