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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 • 363k • • 238 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 51.8k • • 276 -
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 5 hours ago
Glyph: Scaling Context Windows via Visual-Text Compression
liked
a model
about 12 hours ago
MiniMaxAI/MiniMax-M2
upvoted
an
article
4 days ago
Building the Open Agent Ecosystem Together: Introducing OpenEnv
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 • 107 -
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Paper • 2501.10893 • Published • 26
-
70
CyberSecEvalTest
📈Evaluate LLMs' cybersecurity risks and capabilities
-
meta-llama/Llama-Guard-3-8B
Text Generation • 8B • Updated • 363k • • 238 -
meta-llama/Prompt-Guard-86M
Text Classification • 0.3B • Updated • 51.8k • • 276 -
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 • 107 -
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Paper • 2501.10893 • Published • 26
datasets
0
None public yet