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cs.AI2026
REM: What to Store, When to Recall, What to Forget in Experience Memory for Coding Agents
Xinyi Lisa Chen, Pedro Herrero-Vidal, Xiaohan Chen +6
Large language model (LLM) agents now autonomously complete long-horizon tasks, such as repository-level coding, through hundreds of think-act steps, yet the experience each run pr…
cs.AI2025
A Framework for Quantifying How Pre-Training and Context Benefit In-Context Learning
Bingqing Song, Jiaxiang Li, Rong Wang +2
Pre-trained large language models have demonstrated a strong ability to learn from context, known as in-context learning (ICL). Despite a surge of recent applications that leverage…