Human preferences for the same semantic content show near-chance agreement between text and audio, with audio raters using narrower decision thresholds, less length bias, and more user-oriented criteria.
Believing anthropomor- phism: Examining the role of anthropomorphic cues on trust in large language models
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Each tested LLM shows its own characteristic unreliability when engaging in repair during extended math-question dialogues.
Adversarial explanation attacks preserve nearly all human trust in wrong AI outputs by using persuasive framing, shown in a study varying reasoning, evidence, style, and format with over 200 participants.
Case study of co-designed AI education for adults in one Midwestern community shows shifting concerns and advocates context-specific literacy frameworks to build community capacity.
citing papers explorer
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Same Words, Different Judgments: How Preferences Vary Across Modalities
Human preferences for the same semantic content show near-chance agreement between text and audio, with audio raters using narrower decision thresholds, less length bias, and more user-oriented criteria.
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Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs
Each tested LLM shows its own characteristic unreliability when engaging in repair during extended math-question dialogues.
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When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making
Adversarial explanation attacks preserve nearly all human trust in wrong AI outputs by using persuasive framing, shown in a study varying reasoning, evidence, style, and format with over 200 participants.
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Co-Designing Community-Centered AI Education for Adults: A Midwestern Case Study
Case study of co-designed AI education for adults in one Midwestern community shows shifting concerns and advocates context-specific literacy frameworks to build community capacity.
- Twitch Third-Party Developers' Support Seeking and Provision Practices on Discord