CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Zhangquan, Liu, Chunjiang, Duan, Haobin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
by: Codefuse, et al.
Published: (2025)
by: Codefuse, et al.
Published: (2025)
Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
CoDA: Coding LM via Diffusion Adaptation
by: Chen, Haolin, et al.
Published: (2025)
by: Chen, Haolin, et al.
Published: (2025)
Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
by: Chen, Zizhe, et al.
Published: (2026)
by: Chen, Zizhe, et al.
Published: (2026)
Evaluating Long Range Dependency Handling in Code Generation LLMs
by: Assogba, Yannick, et al.
Published: (2024)
by: Assogba, Yannick, et al.
Published: (2024)
MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
by: Lan, Guangchen, et al.
Published: (2025)
by: Lan, Guangchen, et al.
Published: (2025)
The Geometry of Harmful Intent: Training-Free Anomaly Detection via Angular Deviation in LLM Residual Streams
by: Llorente-Saguer, Isaac
Published: (2026)
by: Llorente-Saguer, Isaac
Published: (2026)
GMoE: Empowering LLMs Fine-Tuning via MoE Graph Collaboration
by: Bai, Ting, et al.
Published: (2024)
by: Bai, Ting, et al.
Published: (2024)
SocraSynth: Multi-LLM Reasoning with Conditional Statistics
by: Chang, Edward Y.
Published: (2024)
by: Chang, Edward Y.
Published: (2024)
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
by: Li, Changmao, et al.
Published: (2024)
by: Li, Changmao, et al.
Published: (2024)
Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)
by: Oketunji, Abiodun Finbarrs
Published: (2023)
CorrSteer: Generation-Time LLM Steering via Correlated Sparse Autoencoder Features
by: Cho, Seonglae, et al.
Published: (2025)
by: Cho, Seonglae, et al.
Published: (2025)
ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering
by: Ghosh, Shubhra, et al.
Published: (2025)
by: Ghosh, Shubhra, et al.
Published: (2025)
Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths
by: Fu, Tianyu, et al.
Published: (2024)
by: Fu, Tianyu, et al.
Published: (2024)
Harmful Intent as a Geometrically Recoverable Feature of LLM Residual Streams
by: Llorente-Saguer, Isaac
Published: (2026)
by: Llorente-Saguer, Isaac
Published: (2026)
Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning
by: Zhang, Zhaowei, et al.
Published: (2026)
by: Zhang, Zhaowei, et al.
Published: (2026)
The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts
by: Johnson, Warren
Published: (2026)
by: Johnson, Warren
Published: (2026)
AMEL: Accumulated Message Effects on LLM Judgments
by: Temkit, Sid-Ali
Published: (2026)
by: Temkit, Sid-Ali
Published: (2026)
Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive Data
by: de Campos, Andresa Rodrigues, et al.
Published: (2026)
by: de Campos, Andresa Rodrigues, et al.
Published: (2026)
Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning
by: Saparkhan, Raman, et al.
Published: (2026)
by: Saparkhan, Raman, et al.
Published: (2026)
End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning
by: Chen, Guanzhong, et al.
Published: (2025)
by: Chen, Guanzhong, et al.
Published: (2025)
TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning
by: Pan, Muyu, et al.
Published: (2026)
by: Pan, Muyu, et al.
Published: (2026)
How Many Parameters Does Your Task Really Need? Task Specific Pruning with LLM-Sieve
by: Reda, Waleed, et al.
Published: (2025)
by: Reda, Waleed, et al.
Published: (2025)
Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models
by: Zhang, Liyi, et al.
Published: (2025)
by: Zhang, Liyi, et al.
Published: (2025)
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)
NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
by: Saito, Kei
Published: (2026)
by: Saito, Kei
Published: (2026)
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal
by: Jiang, Weipeng, et al.
Published: (2025)
by: Jiang, Weipeng, et al.
Published: (2025)
Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning
by: Xu, Shuyao, et al.
Published: (2025)
by: Xu, Shuyao, et al.
Published: (2025)
The Instability of Safety: How Random Seeds and Temperature Expose Inconsistent LLM Refusal Behavior
by: Larsen, Erik
Published: (2025)
by: Larsen, Erik
Published: (2025)
FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
by: Yuan, Xin, et al.
Published: (2025)
by: Yuan, Xin, et al.
Published: (2025)
When Retrieval Hurts Code Completion: A Diagnostic Study of Stale Repository Context
by: Weng, Haojun, et al.
Published: (2026)
by: Weng, Haojun, et al.
Published: (2026)
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction
by: Zhang, Guoxiao, et al.
Published: (2024)
by: Zhang, Guoxiao, et al.
Published: (2024)
Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
by: Gao, Heyang, et al.
Published: (2025)
by: Gao, Heyang, et al.
Published: (2025)
Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
by: Labadie-Tamayo, Roberto, et al.
Published: (2025)
by: Labadie-Tamayo, Roberto, et al.
Published: (2025)
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
by: Niu, Guanglin
Published: (2024)
by: Niu, Guanglin
Published: (2024)
CodeNER: Code Prompting for Named Entity Recognition
by: Han, Sungwoo, et al.
Published: (2025)
by: Han, Sungwoo, et al.
Published: (2025)
Point of Order: Action-Aware LLM Persona Modeling for Realistic Civic Simulation
by: Merrill, Scott, et al.
Published: (2025)
by: Merrill, Scott, et al.
Published: (2025)
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion
by: Nandi, Ananjan, et al.
Published: (2023)
by: Nandi, Ananjan, et al.
Published: (2023)
Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference
by: Dalal, Siddhartha, et al.
Published: (2024)
by: Dalal, Siddhartha, et al.
Published: (2024)
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
by: Chen, Haolin, et al.
Published: (2024)
by: Chen, Haolin, et al.
Published: (2024)
Similar Items
-
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
by: Codefuse, et al.
Published: (2025) -
Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023) -
CoDA: Coding LM via Diffusion Adaptation
by: Chen, Haolin, et al.
Published: (2025) -
Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
by: Chen, Zizhe, et al.
Published: (2026) -
Evaluating Long Range Dependency Handling in Code Generation LLMs
by: Assogba, Yannick, et al.
Published: (2024)