UXBench: Benchmarking User Experience in AI Assistants

arXiv:2606.09570 · cs.CL, cs.HC · Submitted 2026-06-08 · Read on arXiv

cs.CL, cs.HC

Submitted: 2026-06-08

Updated: 2026-09-27

Comments: Accepted by EMNLP 2026 Main Conference

Code: https://github.com/mengze-hong/UXBench

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 35× in this paper · explained in 2 episodes
• Benchmarking — 33× in this paper · explained in 4 episodes
• Accuracy — 21× in this paper · explained in 1 episode
• Alignment — 16× in this paper
• LLM-as-a-Judge — 10× in this paper · explained in 3 episodes
• LLM judge — 5× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Failure Modes — 2× in this paper · explained in 3 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Scaling Laws — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Actionability — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Commentary — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Failure Taxonomy — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 7 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Positional Bias — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 5 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• PrefIx: Understand and Adapt to User Preference in Human-Agent Interaction
• RubricBench: Aligning Model-Generated Rubrics with Human Standards

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