Evaluating large language models: A comprehensive survey
Large language models (LLMs) have demonstrated remarkable capabilities across a broad
spectrum of tasks. They have attracted significant attention and been deployed in numerous …
spectrum of tasks. They have attracted significant attention and been deployed in numerous …
Large language model alignment: A survey
Recent years have witnessed remarkable progress made in large language models (LLMs).
Such advancements, while garnering significant attention, have concurrently elicited various …
Such advancements, while garnering significant attention, have concurrently elicited various …
Safetybench: Evaluating the safety of large language models with multiple choice questions
With the rapid development of Large Language Models (LLMs), increasing attention has
been paid to their safety concerns. Consequently, evaluating the safety of LLMs has become …
been paid to their safety concerns. Consequently, evaluating the safety of LLMs has become …
Trustgpt: A benchmark for trustworthy and responsible large language models
Large Language Models (LLMs) such as ChatGPT, have gained significant attention due to
their impressive natural language processing capabilities. It is crucial to prioritize human …
their impressive natural language processing capabilities. It is crucial to prioritize human …
COLD: A benchmark for Chinese offensive language detection
Offensive language detection is increasingly crucial for maintaining a civilized social media
platform and deploying pre-trained language models. However, this task in Chinese is still …
platform and deploying pre-trained language models. However, this task in Chinese is still …
Risk taxonomy, mitigation, and assessment benchmarks of large language model systems
Large language models (LLMs) have strong capabilities in solving diverse natural language
processing tasks. However, the safety and security issues of LLM systems have become the …
processing tasks. However, the safety and security issues of LLM systems have become the …
Culturellm: Incorporating cultural differences into large language models
Large language models (LLMs) are reported to be partial to certain cultures owing to the
training data dominance from the English corpora. Since multilingual cultural data are often …
training data dominance from the English corpora. Since multilingual cultural data are often …
Cobra frames: Contextual reasoning about effects and harms of offensive statements
Warning: This paper contains content that may be offensive or upsetting. Understanding the
harms and offensiveness of statements requires reasoning about the social and situational …
harms and offensiveness of statements requires reasoning about the social and situational …
Sgp-tod: Building task bots effortlessly via schema-guided llm prompting
Building end-to-end task bots and maintaining their integration with new functionalities using
minimal human efforts is a long-standing challenge in dialog research. Recently large …
minimal human efforts is a long-standing challenge in dialog research. Recently large …
A brief survey on safety of large language models
Z Gao, X Liu, Y Lan, Z Yang - Journal of computing and information …, 2024 - hrcak.srce.hr
Sažetak Large Language Models (LLMs) have revolutionized Natural Language Processing
(NLP) and have been widely adopted in various applications such as machine translation …
(NLP) and have been widely adopted in various applications such as machine translation …