ContextAdapt: Evaluating Contextual Adaptation and Value Alignment in LLMs

arXiv:2609.38260 · cs.CL, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

Alignment — 27× in this paper · explained in 1 episode
Benchmark — 12× in this paper · explained in 2 episodes
Adaptation — 9× in this paper · explained in 1 episode
AI Alignment — 7× in this paper · explained in 2 episodes
Grounding — 7× in this paper · explained in 3 episodes
Generative AI — 5× in this paper · explained in 2 episodes
Information Asymmetry — 4× in this paper · explained in 2 episodes
Actor — 3× in this paper · explained in 3 episodes
LLM judge — 3× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
Accountability — 1× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Adversarial scenarios — 1× in this paper · explained in 1 episode
Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Instruction Tuning — 1× in this paper · explained in 2 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes

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