user-satisfaction

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#user-satisfaction

PersonaCUABench: Benchmarking Computer-Use Agents Serving Diverse Personas

Hugging Face Daily Papers ↗ · 2026-10-16 Cached

论文提出 PersonaCUABench,通过 74 个任务和 44 个不同用户画像来评估计算机使用代理(CUA),发现相比原始指令,任务完成率平均下降 36%,表明 CUA 在满足真实用户的个性化需求和约束方面仍存在显著不足。

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#user-satisfaction

@pbteja1998: I have moved on from Fable... Opus 5.5 is my daily driver now and it's so so good... I am so happy that Anthropic relea…

X AI KOLs Following ↗ · 2026-09-26 Cached

A user shares their positive experience with Anthropic's Opus 5.5 AI model, stating it has become their daily driver and expressing happiness about its release.

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#user-satisfaction

@zmt021: Altman's move is way too shady. He first shut down the 20x applications, making us 20x users reluctant to ask for refun…

X AI KOLs Timeline ↗ · 2026-09-14

The article criticizes Altman's controversial actions regarding shutting down applications and handling refunds and tokens, leading to user reluctance and dissatisfaction.

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#user-satisfaction

MemUse: Moving Memory Evaluation from Direct QA to Natural Integration in Long-Term Human-AI Conversation

Hugging Face Daily Papers ↗ · 2026-08-25 Cached

The paper introduces MemUse, a benchmark that shows direct QA accuracy for conversational memory does not predict user satisfaction, whereas natural integration of prior context does, revealing a large gap between recall and conversational use.

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#user-satisfaction

MapSatisfyBench: Benchmarking Satisfaction-Aware Map Agents through Behavior-Grounded Implicit Decision Factors

arXiv cs.AI ↗ · 2026-06-17 Cached

MapSatisfyBench is a benchmark for evaluating LLM-based map agents on their ability to recover implicit decision factors from underspecified user queries, shifting evaluation from task completion to satisfaction-aware spatial decision making.

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