Zhi Jin

RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation AAAI 2026 Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration AAAI 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 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 Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation ACL 2026 Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models ACL 2026 MotionDiff: Training-free Zero-shot Interactive Motion Editing via Flow-assisted Multi-view Diffusion ICCV 2025 NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning EMNLP 2025 Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing ICML 2025 A Comprehensive Evaluation on Event Reasoning of Large Language Models AAAI 2025 Rethinking Repetition Problems of LLMs in Code Generation ACL 2025 Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking ACL 2025 CodeDPO: Aligning Code Models with Self Generated and Verified Source Code ACL 2025 Revisit Self-Debugging with Self-Generated Tests for Code Generation ACL 2025 Benchmarking Long-Context Language Models on Long Code Understanding ACL 2025 Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points ACL 2025 Enhancing Transformation from Natural Language to Signal Temporal Logic Using LLMs with Diverse External Knowledge ACL 2025 Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks ECCV 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NIPS 2024 ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing AAAI 2024 Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models AAAI 2024 HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position ACL 2024 CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges ACL 2024 Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback ACL 2024 DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories ACL 2024 MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering ACL 2024 PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024 MEEL: Multi-Modal Event Evolution Learning ACL 2024 EVIT: Event-Oriented Instruction Tuning for Event Reasoning ACL 2024 Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models ACL 2024 Detection, Diagnosis, and Explanation: A Benchmark for Chinese Medical Hallucination Evaluation COLING 2024 Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs COLING 2024 Latent Modulated Function for Computational Optimal Continuous Image Representation CVPR 2024 FastScene: Text-Driven Fast Indoor 3D Scene Generation via Panoramic Gaussian Splatting IJCAI 2024 PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning EMNLP 2023 MB-TaylorFormer: Multi-Branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing ICCV 2023 Self-Edit: Fault-Aware Code Editor for Code Generation ACL 2023 UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning ACL 2023 SEAG: Structure-Aware Event Causality Generation ACL 2023 Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding CVPR 2023 You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection NIPS 2022 Rethinking Positional Encoding in Tree Transformer for Code Representation EMNLP 2022 Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively NIPS 2022 Integrating Tree Path in Transformer for Code Representation NIPS 2021 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020 Code Generation as a Dual Task of Code Summarization NIPS 2019 Summarizing Source Code with Transferred API Knowledge IJCAI 2018 Coupling Distributed and Symbolic Execution for Natural Language Queries ICML 2017 Improved relation classification by deep recurrent neural networks with data augmentation COLING 2016 How Transferable are Neural Networks in NLP Applications? EMNLP 2016 Natural Language Inference by Tree-Based Convolution and Heuristic Matching ACL 2016 Compressing Neural Language Models by Sparse Word Representations ACL 2016 Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation COLING 2016 Discriminative Neural Sentence Modeling by Tree-Based Convolution EMNLP 2015 Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths EMNLP 2015 A Comparative Study on Regularization Strategies for Embedding-based Neural Networks EMNLP 2015