| 2403.14972 A Picture Is Worth a Graph: Blueprint Debate on.. |
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7.13，字数56001，LLM 3.69，TTS 3.33 |
| 2402.10211 |
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11.57（字数58983，LLM 4.26，TTS 7.21） |
| 2402.10200 |
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15.0（字数72630，LLM 5.32，TTS 9.58） |
| 2402.10189 Uncertainty Decomposition and Quantification.. |
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8.4，字数54301，LLM 3.72，TTS 4.59 |
| 2402.10172 OptiMUS: Scalable Optimization Modeling |
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7.59，字数52172，LLM 3.53，TTS 3.97 |
| 2402.08268 WORLD MODEL ON MILLION -LENGTH VIDEO |
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9.24，字数58452，LLM 4.02，TTS 5.12 |
| 2401.14857 LIV-GaussMap: LiDAR-Inertial-Visual Fusion for |
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6.8，字数37835，LLM 2.67，TTS 4.02 |
| 2401.14405 |
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7.31（字数52328，LLM 3.51，TTS 3.7） |
| 2401.13601 |
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17.77（字数98130，LLM 6.96，TTS 10.71） |
| 2401.08772 |
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4.9（字数27732，LLM 1.95，TTS 2.85） |
| 2310.17157 Deja Vu: Contextual Sparsity for Efficient LLMs.. |
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14.1，字数142443，LLM 9.04，TTS 4.96 |
| 2306.03509 Mega-TTS: Zero-Shot Text-to-Speech at Scale |
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9.07，字数60094，LLM 4.09，TTS 4.88 |
| 2305.16934 |
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20.79（字数104539，LLM 7.58，TTS 13.11） |
| 2109.08957 1 |
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5.56，字数58621，LLM 3.69，TTS 1.76 |
| 2103.00020 Learning Transferable Visual Models From Natural.. |
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27.41，字数223631，LLM 14.68，TTS 12.63 |
| 2023.00935 |
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