Yihong Dong
15 papers · 2024–2026 · 5 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 ↓+5 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (34) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (13)
👥
Mega-Team · Squad
⚡
Prolific Year · Productive
❓
The Questioner
💎
Century Club · Bronze
🗃️
Keyword Collector
(58)
Top co-authors
Research topics
Artificial Intelligence
(12)
Core AI
(11)
Natural Language Processing
(8)
Machine Learning
(7)
Deep Learning
(5)
Learning Types · Machine Learning
(5)
Generation
(4)
Models
(4)
Resources & Methods
(4)
Application Areas
(3)
Computer Science
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Reinforcement Learning
(1)
Applications
(1)
Keywords
code generation
(9)
large language model
(6)
preference optimization
(2)
benchmark evaluation
(2)
reinforcement learning with verifiable reward
(2)
named entity recognition
(1)
program verification
(1)
prompt engineering
(1)
machine unlearning
(1)
policy learning
(1)
direct preference optimization
(1)
model alignment
(1)
source code
(1)
output distribution
(1)
data leakage
(1)
domain knowledge
(1)
software engineering
(1)
evaluation benchmark
(1)
domain-specific evaluation
(1)
few-shot learning
(1)
Papers
CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
ACL 2026
KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?
ACL 2026
Large Language Model Unlearning for Source Code
AAAI 2026
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
ACL 2026
Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation
ACL 2026
Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion
MICCAI 2025
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
COLING 2025
CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
ACL 2025
Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
ACL 2025
LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
ACL 2025
Rethinking Repetition Problems of LLMs in Code Generation
ACL 2025
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
ACL 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
NeurIPS 2024
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
ACL 2024
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
ACL 2024