AdapTrack: Constrained Decoding without Distorting LLM's Output Intent
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Yongmin, Li, Jia, Li, Ge, Jin, Zhi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Showing LLM-Generated Code Selectively Based on Confidence of LLMs
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)
by: Fang, Zheng, et al.
Published: (2026)
A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
by: Zhang, Kechi, et al.
Published: (2025)
by: Zhang, Kechi, et al.
Published: (2025)
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing
by: Wang, Zejun, et al.
Published: (2024)
by: Wang, Zejun, et al.
Published: (2024)
VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2025)
by: Wang, Ziliang, et al.
Published: (2025)
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
by: Zhang, Kechi, et al.
Published: (2024)
by: Zhang, Kechi, et al.
Published: (2024)
PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2025)
by: Zhang, Yuwei, et al.
Published: (2025)
M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2024)
by: Wang, Ziliang, et al.
Published: (2024)
Line-level Semantic Structure Learning for Code Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2024)
by: Wang, Ziliang, et al.
Published: (2024)
GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation
by: Li, Jia, et al.
Published: (2025)
by: Li, Jia, et al.
Published: (2025)
SEAlign: Alignment Training for Software Engineering Agent
by: Zhang, Kechi, et al.
Published: (2025)
by: Zhang, Kechi, et al.
Published: (2025)
Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
by: Zhu, Yuqi, et al.
Published: (2025)
by: Zhu, Yuqi, et al.
Published: (2025)
Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates
by: Sun, Zhihong, et al.
Published: (2024)
by: Sun, Zhihong, et al.
Published: (2024)
SemGuard: Real-Time Semantic Evaluator for Correcting LLM-Generated Code
by: Wang, Qinglin, et al.
Published: (2025)
by: Wang, Qinglin, et al.
Published: (2025)
Automated Static Warning Identification via Path-based Semantic Representation
by: Zhang, Yuwei, et al.
Published: (2023)
by: Zhang, Yuwei, et al.
Published: (2023)
STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2023)
by: Zhang, Yuwei, et al.
Published: (2023)
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position
by: Zhang, Kechi, et al.
Published: (2024)
by: Zhang, Kechi, et al.
Published: (2024)
Self-collaboration Code Generation via ChatGPT
by: Dong, Yihong, et al.
Published: (2023)
by: Dong, Yihong, et al.
Published: (2023)
LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding
by: Li, Jia, et al.
Published: (2025)
by: Li, Jia, et al.
Published: (2025)
A System Model Generation Benchmark from Natural Language Requirements
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
CodeScore: Evaluating Code Generation by Learning Code Execution
by: Dong, Yihong, et al.
Published: (2023)
by: Dong, Yihong, et al.
Published: (2023)
StackTrans: From Large Language Model to Large Pushdown Automata Model
by: Zhang, Kechi, et al.
Published: (2025)
by: Zhang, Kechi, et al.
Published: (2025)
SAGA: Summarization-Guided Assert Statement Generation
by: Zhang, Yuwei, et al.
Published: (2023)
by: Zhang, Yuwei, et al.
Published: (2023)
Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing
by: Xue, Pengyu, et al.
Published: (2024)
by: Xue, Pengyu, et al.
Published: (2024)
Generating Equivalent Representations of Code By A Self-Reflection Approach
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
Computational Thinking Reasoning in Large Language Models
by: Zhang, Kechi, et al.
Published: (2025)
by: Zhang, Kechi, et al.
Published: (2025)
Python Symbolic Execution with LLM-powered Code Generation
by: Wang, Wenhan, et al.
Published: (2024)
by: Wang, Wenhan, et al.
Published: (2024)
aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion
by: Li, Jia, et al.
Published: (2025)
by: Li, Jia, et al.
Published: (2025)
SmartIntentNN: Towards Smart Contract Intent Detection
by: Huang, Youwei, et al.
Published: (2022)
by: Huang, Youwei, et al.
Published: (2022)
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
Correctness-Guaranteed Code Generation via Constrained Decoding
by: Li, Lingxiao, et al.
Published: (2025)
by: Li, Lingxiao, et al.
Published: (2025)
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing
by: Cheng, Wei, et al.
Published: (2026)
by: Cheng, Wei, et al.
Published: (2026)
Decoding Human-LLM Collaboration in Coding: An Empirical Study of Multi-Turn Conversations in the Wild
by: Zhang, Binquan, et al.
Published: (2025)
by: Zhang, Binquan, et al.
Published: (2025)
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
by: Sun, Zhihong, et al.
Published: (2025)
by: Sun, Zhihong, et al.
Published: (2025)
A Viable Paradigm of Software Automation: Iterative End-to-End Automated Software Development
by: Li, Jia, et al.
Published: (2025)
by: Li, Jia, et al.
Published: (2025)
Similar Items
-
Showing LLM-Generated Code Selectively Based on Confidence of LLMs
by: Li, Jia, et al.
Published: (2024) -
Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation
by: Li, Jia, et al.
Published: (2026) -
IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026) -
A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs
by: Jin, Dongming, et al.
Published: (2025) -
Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
by: Zhang, Kechi, et al.
Published: (2025)