ICICLE: Expanding Retrieval with In-Context Documents

arXiv:2605.26902 · cs.IR, cs.AI · Submitted 2026-08-19 · Read on arXiv

Yu-Chen Den, Yung-Yu Shih, Zhi Rui Tam, Kuan-Yu Chen, Pu-Jen Cheng, Yun-Nung Chen, Eugene Yang

cs.IR, cs.AI

Submitted: 2026-08-19

Updated: 2026-08-20

Code: https://github.com/xhluca/bm25s

Terminology

• Adaptation — 18× in this paper · explained in 1 episode
• Calibration — 13× in this paper · explained in 7 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Abstractive Compression — 5× in this paper · explained in 1 episode
• Catastrophic Forgetting — 3× in this paper · explained in 5 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Direct Preference Optimization — 2× in this paper
• Embeddings — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• KV cache — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Distillation — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• In-Context Learning (ICL) — 1× in this paper · explained in 5 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes

Sources

• Autoregressive Entity Retrieval
• A Parametric Memory Head for Continual Generative Retrieval
• MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
• C-Pack: Packed Resources For General Chinese Embeddings
• Qwen3 Technical Report
• LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models

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