LLM Alignment Research Roadmap Q4 2026

Q4 2026 (Oct - Dec 2026)

G1: Reward Model Generalization Study

• Status: in-progress
• Priority: high
• TitleZh: 奖励模型泛化能力研究
• Description: Complete cross-domain reward model generalization experiments
• DescriptionZh: 完成跨域奖励模型泛化实验

G2: Benchmark Robustness Analysis

• Status: pending
• Priority: high
• TitleZh: 基准鲁棒性分析
• Description: Analyze prompt sensitivity across major LLM benchmarks
• DescriptionZh: 分析主要 LLM 基准的提示敏感性

G3: Novel Alignment Method

• Status: pending
• Priority: medium
• TitleZh: 新型对齐方法探索
• Description: Design and implement improved alignment method
• DescriptionZh: 设计和实现改进的对齐方法

G4: Paper Writing

• Status: pending
• Priority: medium
• TitleZh: 论文撰写
• Description: Write up findings for submission to NeurIPS/ICML
• DescriptionZh: 撰写发现结果并投稿至 NeurIPS/ICML