Ge Li
88 papers · 2015–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ge Li?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zhi Jin, Yihong Dong, Lili Mou
36 papers
· 2015–2026
· ACL, AAAI, EMNLP
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CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
ACL 2026
DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt
AAAI 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
Benchmarking Long-Context Language Models on Long Code Understanding
ACL 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
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
ACL 2024
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
ACL 2024
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs
COLING 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
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position
ACL 2024
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models
AAAI 2024
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
ACL 2024
Self-Edit: Fault-Aware Code Editor for Code Generation
ACL 2023
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
NeurIPS 2022
Rethinking Positional Encoding in Tree Transformer for Code Representation
EMNLP 2022
Integrating Tree Path in Transformer for Code Representation
NeurIPS 2021
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models
AAAI 2020
NLocalSAT: Boosting Local Search with Solution Prediction
IJCAI 2020
A Grammar-Based Structural CNN Decoder for Code Generation
AAAI 2019
Code Generation as a Dual Task of Code Summarization
NeurIPS 2019
Summarizing Source Code with Transferred API Knowledge
IJCAI 2018
Compressing Neural Language Models by Sparse Word Representations
ACL 2016
How Transferable are Neural Networks in NLP Applications?
EMNLP 2016
Improved relation classification by deep recurrent neural networks with data augmentation
COLING 2016
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
ACL 2016
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
COLING 2016
A Comparative Study on Regularization Strategies for Embedding-based Neural Networks
EMNLP 2015
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths
EMNLP 2015
Discriminative Neural Sentence Modeling by Tree-Based Convolution
EMNLP 2015
7 papers whose co-authors appear nowhere else under this name
Layered 4D-Rotor Gaussian Splatting: A Compressed Representation for Long Dynamic Scenes
CVPR 2026
VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty Decomposition
ACL 2026
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
NeurIPS 2024
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection
CVPR 2024
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training
NeurIPS 2023
Learning to Share in Networked Multi-Agent Reinforcement Learning
NeurIPS 2022
Region Focus Network for Joint Optic Disc and Cup Segmentation
AAAI 2020