{"id":8816,"date":"2023-08-01T16:36:06","date_gmt":"2023-08-01T07:36:06","guid":{"rendered":"https:\/\/agirobots.com\/?p=8816"},"modified":"2023-10-24T10:29:16","modified_gmt":"2023-10-24T01:29:16","slug":"metaformer","status":"publish","type":"post","link":"https:\/\/developers.agirobots.com\/jp\/metaformer\/","title":{"rendered":"MetaFormer\u306b\u3064\u3044\u3066\u89e3\u8aac"},"content":{"rendered":"\n

Transformer[1]\u306f\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306e\u9818\u57df\u3092\u8d85\u3048\u3066\u3001\u753b\u50cf\u51e6\u7406\u306a\u3069\u306e\u5206\u91ce\u3067\u3082\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u9054\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3001\u3068\u3044\u3046\u5927\u304d\u306a\u7279\u5fb4\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002\u4e00\u822c\u7684\u306b\u3001Transformer\u304c\u3053\u306e\u3088\u3046\u306a\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u51fa\u305b\u308b\u7406\u7531\u306f\u3001\u5185\u90e8\u306b\u63a1\u7528\u3055\u308c\u3066\u3044\u308bAttention[1]\u3068\u3044\u3046\u4ed5\u7d44\u307f\u304c\u512a\u308c\u3066\u3044\u308b\u304b\u3089\u3060\u3068\u8003\u3048\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u3068\u3053\u308d\u304c\u3001\u3053\u306e\u8a18\u4e8b\u3067\u53d6\u308a\u4e0a\u3052\u308bMetaFormer[2]\u3067\u306f\u3001Attention\u306e\u6027\u80fd\u3088\u308a\u3082\u3001Transformer\u306e\u62bd\u8c61\u7684\u306a\u8a2d\u8a08\u304c\u512a\u308c\u3066\u3044\u308b\u304b\u3089\u3053\u305d\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u9054\u6210\u3067\u304d\u308b\u3001\u3068\u3044\u3046\u4e3b\u5f35\u304c\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001\u305d\u306e\u4e3b\u5f35\u3092\u7c21\u6f54\u306b\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

Transformer<\/h2>\n\n\n\n

\u6982\u8981<\/h3>\n\n\n\n

Transformer\u306f\u30012017\u5e74\u306bGoogle\u304cAttention is All You Need[1]\u3068\u3044\u3046\u8ad6\u6587\u3067\u30cb\u30e5\u30fc\u30e9\u30eb\u6a5f\u68b0\u7ffb\u8a33\u3068\u3057\u3066\u63d0\u6848\u3057\u305f\u624b\u6cd5\u3067\u3059\u3002\u30cb\u30e5\u30fc\u30e9\u30eb\u6a5f\u68b0\u7ffb\u8a33\u3068\u3044\u3046\u306e\u306f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u3066\u7ffb\u8a33\u30bf\u30b9\u30af\u3092\u5b9f\u73fe\u3057\u3088\u3046\u3068\u3059\u308b\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u30bf\u30b9\u30af\u306e\uff11\u3064\u3067\u3001\u5f93\u6765\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u3066\u304d\u305f\u518d\u5e30\u7684\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff08Recurrent Neural Network: RNN\uff09\u306e\u6b20\u70b9\u3092\u89e3\u6c7a\u3059\u308b\u5f62\u3067\u767b\u5834\u3057\u307e\u3057\u305f\u3002\u305d\u306e\u8ab2\u984c\u3068\u3044\u3046\u306e\u306f\u3001\u4f4d\u7f6e\u4f9d\u5b58\u6027\u306b\u5f31\u3044\u70b9\u3068\u3001\u4e26\u5217\u5316\u306b\u3088\u308b\u8a08\u7b97\u306e\u9ad8\u901f\u5316\u304c\u3067\u304d\u306a\u3044\u3068\u3044\u3046\u3082\u306e\u3067\u3059\u3002\u7279\u306b\u3001\u6027\u80fd\u9762\u3067\u8a00\u3046\u3068\u4f4d\u7f6e\u4f9d\u5b58\u6027\u306b\u5f31\u3044\u3068\u3044\u3046\u306e\u306f\u3001\u300c\u30de\u30af\u30ed\u306a\u60c5\u5831\u306f\u6349\u3048\u3089\u308c\u308b\u4e00\u65b9\u3067\u3001\u30df\u30af\u30ed\u306a\u60c5\u5831\u306f\u6349\u3048\u3089\u308c\u306a\u3044\u300d\u3068\u3044\u3046\u3053\u3068\u306b\u306a\u308b\u305f\u3081\u3001\u6b63\u78ba\u306a\u6a5f\u68b0\u7ffb\u8a33\u3092\u5b9f\u73fe\u3059\u308b\u3046\u3048\u3067\u5927\u304d\u306a\u8ab2\u984c\u3068\u306a\u3063\u3066\u3044\u307e\u3057\u305f\u3002\u305d\u308c\u3092\u89e3\u6c7a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u624b\u6cd5\u3068\u3057\u3066\u63d0\u6848\u3055\u308c\u305fTransformer\u306f\u672c\u5f53\u306b\u5927\u304d\u306a\u30d6\u30ec\u30a4\u30af\u30b9\u30eb\u30fc\u3060\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u305d\u308c\u4ee5\u964d\u3001BERT[3]\u3084GPT[4]\u306a\u3069Transformer\u3092\u7528\u3044\u305f\u30e2\u30c7\u30eb\u304c\u5927\u304d\u306a\u6210\u679c\u3092\u4e0a\u3052\u3066\u3044\u307e\u3059\u3002\u8a71\u984c\u306eChatGPT\u3082Transformer\u3092\u7528\u3044\u3066\u69cb\u7bc9\u3055\u308c\u305fGPT-3.5\u3084GPT-4[5]\u304c\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002
\u203b<\/p>\n\n\n\n

Transformer\u306f\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u5206\u91ce\u3067\u767b\u5834\u3057\u305f\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3067\u3059\u304c\u3001\u753b\u50cf\u3084\u97f3\u58f0\u306a\u3069\u3001\u4ed6\u306e\u5206\u91ce\u3067\u3082\u9ad8\u6027\u80fd\u3092\u9054\u6210\u3067\u304d\u308b\u3053\u3068\u304c\u660e\u3089\u304b\u306b\u306a\u308a\u3001\u73fe\u5728\u306f\u591a\u7a2e\u591a\u69d8\u306a\u5206\u91ce\u3067\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

Transformer\u306b\u3064\u3044\u3066\u306f\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3067\u8981\u70b9\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3057\u3066\u3044\u307e\u3059\u306e\u3067\u3001\u8a73\u7d30\u3092\u77e5\u308a\u305f\u3044\u65b9\u306f\u305c\u3072\u305d\u3061\u3089\u3082\u3054\u53c2\u7167\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n

\n
\"\"<\/dt>

Transformer\u306b\u3064\u3044\u3066\u672c\u8cea\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\uff01<\/p>

\u7686\u3055\u3093\u3053\u3093\u306b\u3061\u306f\uff01 \u53bb\u5e74\uff082022\u5e7411\u6708\uff09\u306b\u767a\u8868\u3055\u308c\u305fChatGPT\u306e\u8a71\u984c\u304c\u5c3d\u304d\u306a\u3044\u4eca\u65e5\u3053\u306e\u9803\u3001ChatGPT\u3067\u4f7f\u308f\u308c\u3066\u3044\u308b\u91cd\u8981\u306a\u6280\u8853\u306e\uff11\u3064\u3067\u3042\u308bTransformer\u306b\u3064\u3044\u3066\u3001\u8208\u5473\u3092\u6301\u3063\u305f\u65b9\u306f\u6ca2\u5c71 ... <\/p><\/div><\/dd><\/dl><\/div><\/a><\/div>\n<\/div><\/figure>\n\n\n\n

\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3<\/h3>\n\n\n\n

Transformer\u3068\u306f\u3001\u4e0b\u56f3\uff08\u5de6\uff09\u306b\u8a18\u8f09\u3057\u305f\u3088\u3046\u306b\u30a8\u30f3\u30b3\u30fc\u30c0\u30c7\u30b3\u30fc\u30c0\u306e\u69cb\u9020\u3092\u3057\u3066\u304a\u308a\u3001\u6a5f\u80fd\u5358\u4f4d\u3067\u307f\u308b\u3068\u3001Multi-Head Attention\u3068Feed Forward\u3092\uff11\u30bb\u30c3\u30c8\u3068\u3057\u305f\u30d6\u30ed\u30c3\u30af\u69cb\u9020\uff08\uff1dTransformer Block\uff09\u3092\u8907\u6570\u30b9\u30bf\u30c3\u30af\u3057\u305f\u3082\u306e\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

Multi-Head Attention\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u77e5\u308a\u305f\u3044\u65b9\u306f\u4ee5\u4e0b\u306e\u8a18\u4e8b\u3092\u53c2\u8003\u306b\u3057\u3066\u3044\u305f\u3060\u3051\u308c\u3070\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\n
\"\"<\/dt>

\u3010Transformer\u306e\u57fa\u790e\u3011Multi-Head Attention\u306e\u4ed5\u7d44\u307f<\/p>

\u672c\u8a18\u4e8b\u3067\u306f\u3001Transformer\u306e\u57fa\u790e\u3068\u3057\u3066\u3001Multi-Head Attention\u306e\u4ed5\u7d44\u307f\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3057\u307e\u3059\u3002 \u672c\u8a18\u4e8b\u306e\u69cb\u6210\u306f\u3001\u306f\u3058\u3081\u306bTransformer\u304a\u3088\u3073Transformer ... <\/p><\/div><\/dd><\/dl><\/div><\/a><\/div>\n<\/div><\/figure>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u73fe\u5728\u3001\u4e3b\u6d41\u3068\u306a\u3063\u3066\u3044\u308bTransformer Block\u306f\u4e0a\u306b\u793a\u3057\u305f\u521d\u4ee3Transformer\u3067\u4f7f\u7528\u3055\u308c\u305f\u3082\u306e\u3068\u306f\u5c11\u3057\u7570\u306a\u3063\u3066\u3044\u3066\u3001\u4e0b\u56f3\u306e\u3088\u3046\u306b\u3001Normalization\u304c\u5148\u306b\u6765\u308b\u3088\u3046\u306a\u69cb\u9020\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n

\n
\"\"<\/figure><\/div>\n\n\n

MetaFormer\u3067\u306f\u3001\u3053\u306eTransformer Block\u306b\u7126\u70b9\u3092\u5f53\u3066\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

MetaFormer<\/h2>\n\n\n\n

\u6982\u8981<\/h3>\n\n\n\n

\u305d\u308c\u3067\u306f\u3001MetaFormer\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002MetaFormer\u306e\u7406\u89e3\u306f\u6c7a\u3057\u3066\u96e3\u3057\u304f\u306a\u304f\u3001\u76f4\u611f\u7684\u306b\u628a\u63e1\u3067\u304d\u308b\u3082\u306e\u3067\u3059\u3002\u4ee5\u4e0b\u306e\u56f3\u306f\u3001MetaFormer\u306e\u8ad6\u6587\u304b\u3089\u5f15\u7528\u3057\u305f\u3082\u306e\u3067\u3059\u3002\u5de6\u304b\u3089\u4e8c\u3064\u76ee\u306e\u30a4\u30e9\u30b9\u30c8\u304c\u3001Transformer Block\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002Transformer\u7cfb\u306e\u7814\u7a76\u3067\u306f\u3088\u304f\u3001Attention\u90e8\u5206\u3092\u5225\u306e\u6a5f\u69cb\u306b\u5909\u66f4\u3057\u3066\u307f\u308b\u3068\u3044\u3046\u8a66\u307f\u304c\u884c\u308f\u308c\u307e\u3059\u3002MetaFormer\u306e\u8ad6\u6587\u3067\u306f\u3001Attention\u90e8\u5206\u3092Pooling\u306b\u7f6e\u304d\u63db\u3048\u305fPoolFormer\u3092\u69cb\u7bc9\u3057\u3001\u305d\u308c\u304c\u9ad8\u3044\u6027\u80fd\u3092\u767a\u63ee\u3059\u308b\u3053\u3068\u3092\u793a\u3059\u3053\u3068\u3092\u901a\u3058\u3066\u3001Attention\u3067\u3042\u3063\u305f\u308aPooling\u3067\u3042\u3063\u305f\u308a\u3059\u308b\u90e8\u5206\u304c\u3001\u30c8\u30fc\u30af\u30f3\u3092\u6df7\u5408\u3057\u3066\u51e6\u7406\u3059\u308b\u6a5f\u69cb\u3001\u3059\u306a\u308f\u3061\u30c8\u30fc\u30af\u30f3\u30df\u30ad\u30b5\u30fc\u3067\u3042\u308c\u3070\u3001\u826f\u3044\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u3044\u3046\u30e1\u30bf\u7684\u306a\u30e2\u30c7\u30eb\u3001MetaFormer\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\uff08\u5de6\u306e\u56f3\uff09\u3002<\/p>\n\n\n\n

MetaFormer\u306f\u3001\u7279\u5b9a\u306e\u30e2\u30c7\u30eb\u3092\u6307\u3059\u3082\u306e\u3067\u306f\u306a\u304f\u3001Transformer Block\u306e\u62bd\u8c61\u7684\u306a\u69cb\u9020\u306b\u5927\u304d\u306a\u610f\u7fa9\u304c\u3042\u308a\u3001\u305d\u306e\u69cb\u9020\u3092\u8868\u3059\u540d\u524d\u3060\u3068\u8003\u3048\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n

\"\"
[2]\u3088\u308a\u5f15\u7528<\/figcaption><\/figure>\n\n\n\n

\u30c8\u30fc\u30af\u30f3\u30df\u30ad\u30b5\u30fc<\/h3>\n\n\n\n

MetaFormer\u3067\u306f\u3001Attention\u3092\u300c\u6ce8\u610f\u6a5f\u69cb\u300d\u3068\u3057\u3066\u3067\u306f\u306a\u304f\u3001\u300c\u30c8\u30fc\u30af\u30f3\u30df\u30ad\u30b5\u30fc\u300d\u3068\u3057\u3066\u89e3\u91c8\u3057\u3066\u3044\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u3053\u308c\u306f\u8907\u6570\u306e\u30c8\u30fc\u30af\u30f3\u3092\u8de8\u3044\u3067\u60c5\u5831\u3092\u51e6\u7406\u3067\u304d\u308b\u30c4\u30fc\u30eb\u306e\u4e00\u3064\u3067\u3042\u308b\u3068\u3044\u3046\u898b\u65b9\u3067\u3059\u3002<\/p>\n\n\n\n

\u3053\u306e\u8996\u70b9\u3067\u8003\u3048\u308b\u3068\u3001\u8a08\u7b97\u306e\u904e\u7a0b\u3067\u7279\u5b9a\u306e\u6ce8\u610f\u304c\u5fc5\u8981\u304b\u3069\u3046\u304b\u306f\u3001\u5b9f\u306f\u3042\u307e\u308a\u91cd\u8981\u3067\u306f\u306a\u3044\u306e\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002MLP\u3067\u3042\u308cPooling\u3067\u3042\u308c\u3001\u305d\u308c\u3089\u304c\u30c8\u30fc\u30af\u30f3\u3092\u30df\u30c3\u30af\u30b9\u3057\u3066\u60c5\u5831\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u308b\u306a\u3089\u3070\u3001\u305d\u308c\u3089\u306f\u5341\u5206\u306b\u6a5f\u80fd\u3059\u308b\u3068\u3044\u3046\u306e\u304cMetaFormer\u306e\u8003\u3048\u65b9\u3067\u3059\u3002<\/p>\n\n\n\n

MetaFormer\u306e\u6210\u679c\u3068NLP\u3068\u306e\u95a2\u4fc2<\/h2>\n\n\n\n

MetaFormer\u306e<\/strong>\u6210\u679c<\/h3>\n\n\n\n

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MetaFormer<\/strong>\u3068NLP<\/h3>\n\n\n\n

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\u30a4\u30e1\u30fc\u30b8\u3057\u3084\u3059\u3044\u3088\u3046\u306b\u5177\u4f53\u4f8b\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002\u7d39\u4ecb\u3059\u308b\u306e\u306fRWKV[6]\u3067\u3059\u3002RWKV\u306f\u3001Transformer\u3068RNN\u306e\u5229\u70b9\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u30e2\u30c7\u30eb\u3068\u306a\u3063\u3066\u3044\u3066\u3001\u5b66\u7fd2\u6642\u306f\u4e26\u5217\u5316\u306b\u3088\u308a\u5f93\u6765\u306eTransformrer\u3068\u540c\u3058\u3088\u3046\u306b\u5b66\u7fd2\u304c\u3067\u304d\u3001\u63a8\u8ad6\u6642\u306fRNN\u306e\u7279\u6027\u3092\u5229\u7528\u3057\u3066\u3001\u5c0f\u3055\u306a\u8a08\u7b97\u30b3\u30b9\u30c8\u3067\u30c6\u30ad\u30b9\u30c8\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3092\u53ef\u80fd\u306b\u3057\u3066\u3044\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u56f3\u306b\u306f\u3001Transformer Block\u3068RWKV Block\u3092\u4e21\u65b9\u793a\u3057\u3066\u3044\u307e\u3059\u3002RWKV Block\u3067\u306f\u3001Transformer Block\u306eFeed Forward\u90e8\u5206\u306f\u518d\u5e30\u69cb\u9020\u3092\u6301\u3064Channel Mixing\u306b\u3001Multi-Head Attention\u306f\u518d\u5e30\u69cb\u9020\u3092\u6301\u3064Time Mixing\u306b\u7f6e\u304d\u63db\u3048\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306b\u30d6\u30ed\u30c3\u30af\u3092\u69cb\u6210\u3059\u308b\u8981\u7d20\u306b\u3064\u3044\u3066\u51e6\u7406\u30ec\u30d9\u30eb\u3067\u898b\u308b\u3068\u5e7e\u3064\u304b\u7f6e\u304d\u63db\u3048\u3089\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3059\u3002\u3067\u3059\u304c\u3001\u8981\u7d20\u306e\u51e6\u7406\u5185\u5bb9\u3092\u30d6\u30e9\u30c3\u30af\u30dc\u30c3\u30af\u30b9\u3068\u3057\u3066\u8003\u3048\u3066\u3001\u305d\u308c\u3089\u306e\u63a5\u7d9a\u95a2\u4fc2\u306a\u3069\u62bd\u8c61\u7684\u306a\u8996\u70b9\u3067\u898b\u308b\u3068\u3001MetaFormer\u3067\u793a\u3055\u308c\u305f\u3088\u3046\u306aTransformer\u306e\u62bd\u8c61\u7684\u306a\u69cb\u9020\u3092\u4fdd\u3063\u3066\u3044\u308b\u306e\u304c\u3088\u304f\u5206\u304b\u308b\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

RWKV\u4ee5\u5916\u306b\u3082\u591a\u304f\u306e\u30e2\u30c7\u30eb\u3067\u3001\u540c\u69d8\u306e\u50be\u5411\u304c\u307f\u3089\u308c\u308b\u306e\u3067\u3001\u8208\u5473\u304c\u3042\u308a\u307e\u3057\u305f\u3089\u8abf\u3079\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n

\u307e\u3068\u3081<\/h2>\n\n\n\n

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\u53c2\u8003\u6587\u732e<\/h2>\n\n\n\n

[1] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin, \"Attention is all you need,\" in Proc. NeurIPS<\/em>, 2017.
[2] Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, and Shuicheng Yan. \"MetaFormer is Actually What You Need for Vision,\" in Proc. CVPR<\/em>, 2021.
[3] Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova, \"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,\" arXiv<\/em>, 2018.
[4] Alec Radford and Karthik Narasimhan, \"Improving Language Understanding by Generative Pre-Training,\" 2018.
[5] OpenAI, \"GPT-4 Technical Report,\" arXiv<\/em>, 2023.
[6] Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Xiangru Tang, Bolun Wang, Johan S. Wind, Stansilaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Jian Zhu, and Rui-Jie Zhu, \"RWKV: Reinventing RNNs for the Transformer Era,\" arXiv<\/em>, 2023.<\/p>\n","protected":false},"excerpt":{"rendered":"

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