Proof pending. This topic has not reached the minimum paper threshold yet.
While large language models (LLMs) are increasingly being explored for mental health applications, recent studies reveal that they can exhibit stigma toward individuals with psychological conditions. ...
Multilingual studies of social bias in open-ended LLM generation remain limited: most existing benchmarks are English-centric, template-based, or restricted to recognizing pre-specified stereotypes. W...
Skin-toned emojis are crucial for fostering personal identity and social inclusion in online communication. As AI models, particularly Large Language Models (LLMs), increasingly mediate interactions o...
Large language models (LLMs) are increasingly used in decision-making tasks where they can amplify or suppress perspectives, raising concerns in high-stakes settings affecting autistic communities. Wh...
Freshness
Canonical route: /topics
Agent Handoff
Canonical ID llm-bias-detection | Route /topic/llm-bias-detection
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/llm-bias-detectionMCP example
{
"tool": "search_papers",
"arguments": {
"query": "LLM Bias Detection",
"cluster": "LLM Bias Detection"
}
}source_context
{
"surface": "topic",
"mode": "topic",
"query": "LLM Bias Detection",
"normalized_query": "llm-bias-detection",
"route": "/topic/llm-bias-detection",
"paper_ref": null,
"topic_slug": "llm-bias-detection",
"benchmark_ref": null,
"dataset_ref": null
}Use This Via API or MCP
Topic pages bundle paper counts, viability trends, author concentration, and top questions into one canonical surface your agents can reference before they open Signal Canvas or create a workspace.