Ge Yu
23 papers · 2013–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (8)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(51)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(11)
β
The Questioner
β‘
Prolific Year
(9)
π
Conference Pioneer
ποΈ
Keyword Collector
(84)
π
Century Club
(18)
Conferences
ACL (11)
AAAI (3)
EMNLP (3)
ICLR (2)
IJCAI (2)
EACL (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(6)
direct preference optimization
(3)
dense retrieval
(3)
semantic embedding
(2)
information retrieval
(2)
code generation
(2)
knowledge distillation
(2)
chain-of-thought prompting
(2)
representation learning
(2)
neural network
(2)
retrieval-augmented generation
(2)
language model pretraining
(2)
document understanding
(1)
gradient-based optimization
(1)
preference optimization
(1)
image retrieval
(1)
contrastive learning
(1)
data integration
(1)
importance sampling
(1)
embedding space
(1)
Papers
Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
ACL 2026
ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling
EACL 2026
Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
ACL 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
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
EMNLP 2025
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
AAAI 2025
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
ACL 2025
MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models
ACL 2025
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
ACL 2025
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
EMNLP 2025
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
ICLR 2025
Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency
IJCAI 2025
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
NAACL 2025
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
ACL 2024
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
ACL 2024
Cleaner Pretraining Corpus Curation with Neural Web Scraping
ACL 2024
Soft Target-Enhanced Matching Framework for Deep Entity Matching
AAAI 2023
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
ICLR 2023
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
ACL 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