Pareto-Dominant Clarification: Post-Training Coding LLMs via PPO-Lagrangian Budget Constraints
cs.LG
Submitted: 2026-10-02
Updated: 2026-10-02
Sources
- Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
- Evaluating Large Language Models Trained on Code
- Safe RLHF: Safe Reinforcement Learning from Human Feedback
- Curiosity by Design: An LLM-based Coding Assistant Asking Clarification Questions
- 8-bit Optimizers via Block-wise Quantization
- LoRA: Low-Rank Adaptation of Large Language Models
- Qwen2.5-Coder Technical Report
- Training language models to follow instructions with human feedback
- Proximal Policy Optimization Algorithms
- Training Proactive and Personalized LLM Agents
- Reward Constrained Policy Optimization
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