“2026-03-16”版本间的差异

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|Yu Zhang
 
|Yu Zhang
 
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* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
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* LLM: Swarm Lazy & Adv complex topo pruning finish (ECS for Adv Agents, PKS for Lazy Agents)
 
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|Junhui Chen
 
|Junhui Chen
 
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* Organizing existing experiments and structuring the logic; identified some issues in the experiments and arguments (currently a bit messy) and continuing to refine.
 
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|Bochao Hu
 
|Bochao Hu
 
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* finetuning visual encoder in new domain, which cer is 0.2727
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* baseline: VSR-pre-trained Encoder + Qwen_VL finetune only (VL-Decoder) is in training
 
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|Hongcheng Zhang
 
|Hongcheng Zhang
 
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*inhome data test，the report will finish on Tuesday
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*read some paper
 
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|Weiman Sun
 
|Weiman Sun
 
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* debug the lora scripts of MTLLM
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** about 20w data records
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** takes about 34 hours to complete an epoch
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* papers about speech instruction tune shared bay zhenghai and the TAC(Timestamped Audio Captioning) shared by hongcheng.
 
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|Ge Gao
 
|Ge Gao
 
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*cheak some AI courses translation
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*read some papers about audio seperation
 
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2026年3月16日 (一) 10:57的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • NMI micromagnetic paper, reformulate theoretical foundation and rewrite the paper.
  • AIGE PPT (English version) check, high-school part done.
Lantian Li
  • MoE daily work
  • Examine master's theses
  • Write NSFC proposal
Wenqiang Du
  • New project collaboration
  • Some AI course reviews
Yang Wei
  • Deal with streaming audio visual speech separation.
Ying Shi
Yue Gu
  • still write my Phd paper
Lily
  • Thesis Writing
  • CMT System Setup for AIGE 2026
Pengqi Li
  • Interview preparation
  • Experimentation[1]
Junming Yuan
Yu Zhang
  • GPU Util: [2]
  • LLM: Swarm Lazy & Adv complex topo pruning finish (ECS for Adv Agents, PKS for Lazy Agents)
Junhui Chen
  • Organizing existing experiments and structuring the logic; identified some issues in the experiments and arguments (currently a bit messy) and continuing to refine.
Jiaying Wang
  • Thesis modifying
Xiaoxue Luo
  • USS with EDA(encoder-decoder based attractor)
    • train the model with filtered data, test result:2mix_sdri=8.474, 3mix_sdri=7.472(The test results are the same as those of SJTU）
  • Huawei project
Bochao Hu
  • finetuning visual encoder in new domain, which cer is 0.2727
  • baseline: VSR-pre-trained Encoder + Qwen_VL finetune only (VL-Decoder) is in training
Hongcheng Zhang
  • inhome data test，the report will finish on Tuesday
  • read some paper
Weiman Sun
  • debug the lora scripts of MTLLM
    • about 20w data records
    • takes about 34 hours to complete an epoch
  • papers about speech instruction tune shared bay zhenghai and the TAC(Timestamped Audio Captioning) shared by hongcheng.
Ge Gao
  • cheak some AI courses translation
  • read some papers about audio seperation
取自“http://index.cslt.org/mediawiki/index.php?title=2026-03-16&oldid=43992”