When Context Misleads: In-context Learning with Jurisdiction in Large Language Models

arXiv:2609.27603 · cs.CL, cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/peilin717/FakeContext-Bench

Terminology

Benchmark — 19× in this paper · explained in 2 episodes
In-Context Learning — 14× in this paper · explained in 4 episodes
Robustness — 12× in this paper · explained in 5 episodes
Ablation — 9× in this paper · explained in 1 episode
Accuracy — 8× in this paper · explained in 1 episode
Sycophancy — 3× in this paper · explained in 4 episodes
Adaptivity — 2× in this paper · explained in 1 episode
Aggregation — 2× in this paper · explained in 1 episode
Consistency — 2× in this paper · explained in 3 episodes
Few-Shot Learning — 2× in this paper · explained in 4 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Adaptation — 1× in this paper · explained in 1 episode
Calibration — 1× in this paper · explained in 7 episodes
Core — 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
Verification — 1× in this paper · explained in 2 episodes

Sources

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