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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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| Lantian Li
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- 2nd round AI Book Check – High School Edition (2/4).
- MoE project matters.
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| Ying Shi
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| Zhenghai You
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- Some support work for Huawei SS project
- Iterative Adaptation TSE：
- Complete the training framework code
- Training 16k Base model and IRA model as baselines to adapt to Hubert or WavLM
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| Junming Yuan
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| Xiaolou Li
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| Zehua Liu
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- interview
- writing code of VLLM Iterative Decode
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| Pengqi Li
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| Tianhao Wang
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- ChainSep paper (Chinese version is almost done)
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| Xiaoxue Luo
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- attractor-based speech separation:2-mix training
- 40% overlap rate: sisdr = 8.024
- random overlap rate: sisdr = 9.519
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| Junhui Chen
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| Jiaying Wang
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| Yu Zhang
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- GPU Util [1]
- LLM
- Reflection methods that provide more detailed feedback (for example, offering a full solution rather than just keywords describing the mistake) are more likely to receive higher ECS scores.
- When LLMs use Reflection feedback, ECS and PKS scores exhibit a strong negative correlation.
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| Wenqiang Du
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| Yang Wei
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| Yue Gu
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- go back to Harbin
- write the Phd Thesis
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| Lily
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- AIGE Annual Forum
- Journal paper submission
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| Bochao Hu
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