|
|
| 第175行： |
第175行： |
| | |Yu Zhang | | |Yu Zhang |
| | || | | || |
| − | * | + | * SocioDojo Llama 3.1 8B investment task |
| | + | ** acc return is about 10% below nasdaq 100 index |
| | || | | || |
| − | * | + | * add more professional information source, such as WSJ (current is Tweets Trending, which is too entertainment-oriented) |
| | + | * control the BUY/SELL amount of Actuator (current investments ratio is too high) |
| | + | * reproduce other Multi Agent investment pipeline such as FinAgent or FinRobot |
| | || | | || |
| | * | | * |
| People |
This Week |
Next Week |
Task Tracking (DeadLine)
|
| Dong Wang
|
- Primary School AI hand book (20-30)
|
|
|
| Lantian Li
|
- AI-Graph EN (25/50)
- Complete CSTR intro report （11.18)
|
|
|
| Ying Shi
|
- Cohort-Overlap ASR
- condition on real decode result
- Design stop criterion
- Cohort-Speech separation
- several configs for Dual-path model
- group work
|
|
|
| Zhenghai You
|
|
|
|
| Junming Yuan
|
- The result of feat-mask/time-mask MT-HuBERT [1]
|
|
|
| Xiaolou Li
|
|
|
|
| Zehua Liu
|
- Verify VSR data
- Finish Data Verification Report
- ICL work(CER: 47.87% < CER: 51.08%)
- Time Mask matters[2]
|
|
|
| Pengqi Li
|
- Complete the final report of the doctoral innovation project(School)
- Exploring the Consistency of TAO and LayerCAM Results on different models and datasets.
- Conclusion and hypothesis[3]
|
|
|
| Wan Lin
|
|
|
|
| Tianhao Wang
|
- adjust the code of AudioSep (CLAP) to support multi-mix and audio-query (in training)
- some project testing
|
|
|
| Xiaoxue Luo
|
- AudioSep reproduction
- evaluate the performance of AudioSep
- comparative experiment between AudioSep and baseline system(CLIPSep)
|
|
|
| Zhenyu Zhou
|
- conditional chain 2-mix results reproduction（sisidr: 10.714 -> 15.6）
- model quantization finial version submission
|
|
|
| Junhui Chen
|
|
|
|
| Jiaying Wang
|
|
|
|
| Yu Zhang
|
- SocioDojo Llama 3.1 8B investment task
- acc return is about 10% below nasdaq 100 index
|
- add more professional information source, such as WSJ (current is Tweets Trending, which is too entertainment-oriented)
- control the BUY/SELL amount of Actuator (current investments ratio is too high)
- reproduce other Multi Agent investment pipeline such as FinAgent or FinRobot
|
|
| Wenqiang Du
|
- Participated in an AI competition
|
|
|
| Yang Wei
|
|
|
|
| Lily
|
|
|
|
| Turi
|
- Whisper finetuning on sagalee
- with encoder frozen, whisper-large-v3 (20.5 WER)
- Finetuning LLM
- Finetuned Qwen2.5-0.5B on conversation dataset translated from English to Oromo
-
|
|
| Yue Gu
|
|
|
|
| Qi Qu
|
- AED:
- New CED-based classifiers deployed onto devices, yielding acceptable performance.
- KWS:
- Quantization and format conversion of production models for deployment on embedded device w/ NPU. Default quantization mode leads to unacceptable loss of precision. Will try hybrid quantization.
- Text-enrollment KWS: some dynamic dimensions misinterpreted as constant duration exportation to ONNX.
|
|
|
