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70
CyberSecEvalTest
📈Evaluate LLMs' cybersecurity risks and capabilities
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meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 280k • • 240 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 58k • • 279 -
17
Prompt Injection Detection Benchmark
📝Check for prompt injection in text
Shyam Sunder Kumar
theainerd
AI & ML interests
Natural Language Processing
Recent Activity
upvoted
a
paper
about 8 hours ago
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization
Formats
upvoted
a
paper
about 8 hours ago
The Principles of Diffusion Models
liked
a model
about 22 hours ago
unsloth/MiniMax-M2-GGUF
Organizations
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Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 94 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 108 -
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Paper • 2501.10893 • Published • 26
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70
CyberSecEvalTest
📈Evaluate LLMs' cybersecurity risks and capabilities
-
meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 280k • • 240 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 58k • • 279 -
17
Prompt Injection Detection Benchmark
📝Check for prompt injection in text
-
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 94 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 108 -
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Paper • 2501.10893 • Published • 26
datasets
0
None public yet