Cehao Yang
7 papers · 2025–2026 · 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
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
⭐
Rising Star
(7)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI
(5)
Machine Learning
(4)
Natural Language Processing
(4)
Applications · Natural Language Processing
(2)
Computer Science
(1)
Deep Learning
(1)
Application Areas
(1)
Applications · Computer Science
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
large language model
(4)
synthetic data generation
(2)
knowledge graph completion
(2)
faithful reasoning
(2)
semantic search
(1)
privacy-preserving learning
(1)
code retrieval
(1)
knowledge graph
(1)
synthetic data
(1)
instruction fine-tuning
(1)
encrypted data
(1)
continual pre-training
(1)
retrieval-augmented generation
(1)
data synthesis
(1)
dual encoder
(1)
entity resolution
(1)
multilingual learning
(1)
semantic gap
(1)
entity type
(1)
deep reasoning
(1)
Papers
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
EACL 2026
DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis
ACL 2026
Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification
EMNLP 2025
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
AAAI 2025
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
ACL 2025
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
NAACL 2025
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
ICLR 2025