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Entities25 of 207,987
- large language modeltechnology1,043 mentions
- robotic manipulationmarket824 mentions
- artificial intelligencetechnology739 mentions
- reinforcement learningtechnology491 mentions
- density-functional theorytechnology386 mentions
- Transformertechnology371 mentions
- agentic AItechnology353 mentions
- vision-language-action modeltechnology350 mentions
- U.S. Food and Drug Administrationorganization320 mentions
- Vision-Language Modeltechnology318 mentions
- Microsoftorganization291 mentions
- Googleorganization276 mentions
- NVIDIAorganization264 mentions
- Model Context Protocoltechnology232 mentions
- machine learningtechnology204 mentions
- MarketsandMarketsorganization199 mentions
- Claudeproduct192 mentions
- AI agenttechnology188 mentions
- ChatGPTproduct178 mentions
- Anthropicorganization177 mentions
- integrated sensing and communicationtechnology175 mentions
- Amazon Web Services, Inc.organization174 mentions
- OpenAIorganization172 mentions
- diffusion modeltechnology169 mentions
- IBMorganization163 mentions
Entity
GPT-4o
product19 mentionslast seen Nov 11, 2026
A model used as a judge in K-Bench that achieved 94.2% exact agreement with clinician consensus in evaluating mental health conversations.
Relationships 8
- GPT-4oapplies tohardware design automation97% confidence2 sources
- large language modeldepends onGPT-4o94% confidence1 source
- GPT-4oimplementsK-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations90% confidence1 source
- RoboFACcompetes withGPT-4o90% confidence1 source
- RoboAtlasdepends onGPT-4o85% confidence1 source
- GPT-4odepends onMedVAL85% confidence1 source
- GPT-4odepends onrandomized smoothing certification82% confidence1 source
- Qwen-2.5-7Bcompetes withGPT-4o75% confidence1 source
Relationship
GPT-4oapplies tohardware design automation
97% confidence2 supporting mentions
Either name opens that entity’s relationships.
Sources 2
- preprintarXivOct 4, 2026VHDL-REPOBENCH: A Repository-Level Benchmark for Evaluating Large Language Models on VHDL Design Generation
We evaluate several state-of-the-art models, including GPT-4o, Llama-3-70B, Qwen2.5-72B, CodeLlama-70B, and multi-step reasoning approaches such as Reflexion and CoDes
- preprintarXivOct 2, 2026An Executable Benchmark for LLM-Based HLS Repair:Design Complexity and Repair Underconstraint
evaluation of LLM-based HLS repair across four models (GPT-4o, GPT-4o-mini, GPT-5.4, and Claude Opus 4.6)