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第174行： |
| | |Shuailong Li | | |Shuailong Li |
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| − | * | + | *Clean dataset, keep watching Li Hongyi's course, and do the homework |
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| People |
This Week |
Next Week |
Task Tracking (DeadLine)
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| Dong Wang
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- All middle school and primary school text book done
- Jiaoyubu project evaluation
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| Lantian Li
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| Wenqiang Du
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- AIbabel
- fixed some bugs on the project
- Trying some method to optimize the Fewshot model
- Huohua
- simulated 3-mic data for mobile, and used the Sound Bubble code to build a baseline(in traing)
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| Yang Wei
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- Audio separation: train model with larger 3mix ratio.
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| Yue Gu
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- polish my Phd thesis and begin to prepare my pre-defense
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| Lily
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| Pengqi Li
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- Phd Thesis(core content and overall framework)
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| Junming Yuan
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- Updated the MT-HuBERT project code.
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| Yu Zhang
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- GPU Util: [1]
- MAS:
- Across all experiments, the MAS was generally able to identify the underlying problem or bottleneck.
- When the task mainly required textual consensus, STD added limited value beyond the agreement itself.
- When solving the problem required coordinated actions across agents, STD was much more useful.
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| Junhui Chen
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- Continue the LLM-MAS society dilemma experiments:
- In Public Goods Game (PGG): all topologies converge to zero cooperation.
- In Common-Pool Resource (CPR): when LLMs are in Non-Thinking mode, all topologies collapse; when in Thinking mode, fully connected causes over-extraction to spike while sparse topologies stay sustainable. The difference tracks degree, not the optimization method.
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| Xiaoxue Luo
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- Completed the draft of the USS-TDA paper
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| Bochao Hu
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- topic vsr llm: revise paper (VSR-VLLM as main storyline) and continue to supplement exps
- cncvs3: 4kh SFT is in training
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| Hongcheng Zhang
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- Try different ratios of real data and synthetic data to see if the synthetic data actually works on Inhome-audio tagging
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| Weiman Sun
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| Shuailong Li
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- Clean dataset, keep watching Li Hongyi's course, and do the homework
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