Not aiming for a script—just unsafe output. 🚨🧨🔍🛡️ This paper introduces a gradient-based untargeted jailbreak attack (UJA) that seeks any unsafe response rather than a specific target. It maximizes a judged “unsafety” signal by decomposing a non-differentiable objective into differentiable parts for optimizing both harmful responses and adversarial
Words carry facts; voices carry feelings. 🎙️🧩😊📊 This study separates descriptive semantics (the content) from expressive semantics (the emotion). After viewing emotional movie segments, participants described their experiences. Findings: descriptive semantics align with intended emotions, while expressive semantics correlate with evoked emotions (valence/arousal). Why it matters: Speech Emotion Recognition can
Two tribes, one problem. 🎭📏🧠🔧 This position paper argues that reward models (used in post-training) and evaluation metrics tackle the same task: judging output quality. Yet they’ve grown apart—duplicating terms and mistakes. The authors survey both areas, show cases where metrics beat reward models, and chart shared challenges:
Make agents talk, think, and team up better. 🤖🤝🗣️🎮 This work enhances a framework for Collaborative Embodied Agents powered by LLMs. Through prompt-engineering studies and model selection, the best combo improved efficiency by 22% (with Gemma3) versus the original system. They also add speech capabilities for smoother voice-based collaboration
“No real victim” is a dangerous myth. 🚫🧒⚠️🔒 This paper reviews how AI-generated child sexual abuse material (AI CSAM) can still cause harm: creating synthetic depictions, revictimizing known survivors, facilitating grooming and extortion, normalizing exploitation, and lowering barriers that may lead some users toward offending. Like a slippery slope disguised
10,497 examples, 13 tasks: a holistic yardstick for voice-first multimodal assistants. Voice assistants are rapidly evolving into multimodal agents that must hear, speak, and see. Yet evaluation has lagged behind capability. VoiceAssistant-Eval fills this gap with a comprehensive benchmark of 10,497 curated examples across 13 task
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