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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
instruction tuning
technology6 mentionslast seen Nov 9, 2026
Novel tuning tasks customized to capture high-order user-item interaction patterns.
Relationships 4
- large language modeldepends oninstruction tuning98% confidence2 sources
- instruction tuningdepends ontoken probability polarization88% confidence1 source
- instruction tuningimplementsknowledge attribution82% confidence1 source
- Declarative Self-improving Pythoncomposed ofinstruction tuning80% confidence1 source
Relationship
large language modeldepends oninstruction tuning
98% confidence2 supporting mentions
Either name opens that entity’s relationships.
Sources 2
- preprintarXivNov 5, 2026Instruction-Tuning Large Language Models with Medical Classification Data Improves ICD Coding of German Tumor Diagnoses
Instruction-Tuning Large Language Models with Medical Classification Data
- preprintarXivSep 18, 2026Semantic Calibration Prevails Where Token Confidence Fails: Benchmarking Long-Form Scientific QA
Instruction tuning is shown to associate with systematic token probability polarization in large language models