wuyang
225 lines
2.4 KiB
JSON
225 lines
2.4 KiB
JSON
{
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"total": 1140,
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"by_collection": {
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"jobs": 6,
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"papers": 1125,
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"industry": 9
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},
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"by_status": {
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"jobs": {
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"active": 4,
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"unknown": 2
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},
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"papers": {
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"queued": 1110,
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"skimmed": 15
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},
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"industry": {
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"analyzed": 8,
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"queued": 1
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}
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},
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"top_topics": [
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[
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"agent-evaluation",
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971
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],
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[
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"tool-use",
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842
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],
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[
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"rag",
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530
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],
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[
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"reasoning",
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433
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],
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[
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"planning",
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404
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],
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[
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"agent-safety",
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391
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],
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[
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"memory",
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336
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],
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[
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"computer-use",
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304
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],
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[
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"workflow-agent",
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283
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],
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[
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"multi-agent",
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280
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],
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[
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"coding-agent",
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250
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],
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[
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"world-model",
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98
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],
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[
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"embodied-agent",
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72
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],
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[
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"agent",
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6
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],
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[
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"evaluation",
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4
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],
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[
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"agent-architecture",
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3
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],
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[
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"enterprise-ai",
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3
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],
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[
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"llm-infra",
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1
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],
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[
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"inference",
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1
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],
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[
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"harness",
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1
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]
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],
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"top_skills": [
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[
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"agent",
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5
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],
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[
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"memory",
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4
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],
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[
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"multi-agent",
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4
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],
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[
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"agent-evaluation",
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4
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],
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[
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"planning",
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3
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],
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[
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"tool-use",
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3
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],
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[
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"rag",
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2
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],
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[
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"function-calling",
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2
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],
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[
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"inference",
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2
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],
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[
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"cloud",
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2
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],
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[
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"reasoning",
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1
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],
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[
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"state-management",
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1
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],
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[
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"serving",
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1
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],
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[
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"distributed-training",
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1
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],
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[
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"gpu",
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1
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],
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[
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"model-compression",
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1
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],
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[
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"context-engineering",
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1
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],
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[
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"llm-application",
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1
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],
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[
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"rl",
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1
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],
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[
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"coding-agent",
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1
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]
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],
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"top_companies": [
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[
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"百度",
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3
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],
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[
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"Microsoft",
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3
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],
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[
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"Google DeepMind",
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2
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],
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[
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"OpenAI",
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2
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],
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[
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"字节 Seed",
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1
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],
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[
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"DeepSeek",
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1
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],
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[
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"腾讯",
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1
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],
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[
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"ByteDance Seed",
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1
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],
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[
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"Alibaba Qwen",
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1
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]
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]
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}
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