Safety Alignment and Jailbreak Attacks Challenge Modern LLMs | HackerNoonThe article discusses the safety alignment of LLMs, focusing on the criteria helpfulness, honesty, and harmlessness.
SLMs Outperform Competitors Yet Suffer Rapid Adversarial Jailbreaks | HackerNoonSLM models show superior safety alignment and helpfulness compared to traditional models, enhancing understanding of spoken language.
SpeechVerse Unites Audio Encoder and LLM for Superior Spoken QA | HackerNoonThe SpeechVerse architecture combines an audio encoder with language models to enhance audio input processing.
SLMs Outperform Competitors Yet Suffer Rapid Adversarial Jailbreaks | HackerNoonSLM models show superior safety alignment and helpfulness compared to traditional models, enhancing understanding of spoken language.
SpeechVerse Unites Audio Encoder and LLM for Superior Spoken QA | HackerNoonThe SpeechVerse architecture combines an audio encoder with language models to enhance audio input processing.
Integrated Speech Language Models Face Critical Safety Vulnerabilities | HackerNoonThe study examines the safety alignment of speech language models against adversarial attacks.