cslt Wiki - 用户贡献 [zh-cn]

2026-04-27

2026-04-27T10:53:29Z

Gaoge：

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!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* Check response for 16 AI textbooks
* Recheck micromagentics paper

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|Lantian Li
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|Wenqiang Du
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* Spech separation task
** add some loss to reduce leakage problem
* Baseline evaluation for audio event tasks
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|Yang Wei
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|Ying Shi
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|Yue Gu
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* write my phd thesis and revise one chapter
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|Lily
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|Pengqi Li
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* Continued the revision of the paper submitted to Journal of Chinese Information Processing
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|Junming Yuan
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* journal paper refinement(done and submit)
* prepare ICASSP oral presentation(done)
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|Yu Zhang
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* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* Paper:
** Finish all lazy bubble prune accuracy & token consumption test
** Refine paper with @chenjunhui
* GAIA test (real word ToT MAS pipeline with function calling RAG)
** original ACC: 11 / 52
** ACC without all WebSearch: 8 / 52 (mostly are questions that can be solved by FileAnalyze or without any additional information)
** ACC without WebSearch that seg-ECS < 0.4: 11 / 52
** ACC without WebSearch that seg-ECS > 0.4: 8 / 52
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|Junhui Chen
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* still sick
* continue to refining the paper, and looking for references (80%)
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|Xiaoxue Luo
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* retrain the USS-eda model using the data and training configuration from the SJTU 's paper
* train 2-3mix USS-tda model to compare the separation results with USS-eda(in training)
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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|Ge Gao
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*experiments on audio separation and prepared ball data
*wrote my graduation thesis
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|Shuailong Li
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*Test on Teacher Wei's dataset
*completed my graduation project UI and wrote the corresponding documentation.
*Reproduction on the MTASS original dataset（loss：MSE+SI-SDR）
**SDRi（speech=6.95 music=4.63 others=4.50 avg=5.43）
**The perceived volume has not decreased

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2026-04-13

2026-04-13T10:46:21Z

Gaoge：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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*
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|Lantian Li
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* FgW daily work
* MLA book (3/4)
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|Wenqiang Du
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|Yang Wei
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|Ying Shi
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* revise my thesis
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|Yue Gu
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* write my Phd thesis
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|Lily
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*
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|Pengqi Li
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* Paper Draft Completion & Revision Plan
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|Junming Yuan
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* Preparing the materials for attending ICASSP
* ZH paper draft (need refine)
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|Yu Zhang
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* GPU Util: [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* Chain level experiments:
** After introducing the Metric Reward, the weights of correct edges converge faster compared to training with pure reinforcement learning alone.
** The worse the situation when the Metric Reward is introduced (i.e., the lower the weights of critical edges), the more significant the difference compared to not using the Metric Reward.
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|Junhui Chen
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* To strengthen the robustness of the conclusions, conducting additional experiments:
** Introduce a new baseline (AgentPrune).
** Add experiments on a new dataset (GSM8K).
** Reproduce the results on other LLM base models.
* Paper writing
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|Xiaoxue Luo
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* attractor visualization analysis [https://z1et6d3xtb.feishu.cn/docx/BAoRdM2jQo19krxwH0pcowCsnih]
* The accuracy of attractor counting is lower than expected, may be due to the mixed scenes are complex（2-5mix), retrain the 2-3mix model
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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|Ge Gao
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*reproduce spatialnet for speech separation
*write my graduation thesis
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|Shuailong Li
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*read some papers
**USE（Sepformer and BSRNN and TDN）
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2026-04-13

2026-04-13T10:25:38Z

Gaoge：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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|Lantian Li
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|Wenqiang Du
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|Yang Wei
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|Ying Shi
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|Yue Gu
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|Lily
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|Pengqi Li
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* Paper Draft Completion & Revision Plan
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|Junming Yuan
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|Yu Zhang
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|Junhui Chen
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|Jiaying Wang
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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|Ge Gao
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*reproduce spatialnet for speech separation
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2026-03-30

2026-03-30T10:32:35Z

Gaoge：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
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|Dong Wang
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* AI book University version (1/2)
* English slides cleaning up
* Material preparation for 5.11 world digitial education conference
* Several meetings

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|Lantian Li
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|Wenqiang Du
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|Yang Wei
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|Ying Shi
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|Yue Gu
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|Lily
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|Pengqi Li
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|Junming Yuan
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* MT-HuBERT Journal paper EN(done)
* ICASSP PPT refinement(done)
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|Yu Zhang
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|Junhui Chen
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|Bochao Hu
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|Hongcheng Zhang
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|Weiman Sun
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* Preparing for the Mid-term report of My Graduation Project:
** Writing the Mid-term Report
** Making adjustments based on the project proposal
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|Ge Gao
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*Download concert data for speech separation
*focus on my graduation project
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|Shuailong Li
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2026-03-23

2026-03-23T10:43:10Z

Gaoge：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

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|Dong Wang
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* AIGE book (University version 1/4)
* Keep on NMI paper proof editing

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|Lantian Li
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|Wenqiang Du
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|Yang Wei
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|Ying Shi
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* Revise my thesis according to Prof. Han's suggestions.
* Learn some new skills for my future job
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*
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*
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|Yue Gu
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* write my thesis
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*
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*
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|Lily
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* Revise thesis
* Journal paper rebuttal
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*
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*
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|Pengqi Li
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* Compiled the existing experimental results into a full paper draft.
* Traveled to Taiyuan to attend the interview and take the required physical examination.
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*
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*
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|Junming Yuan
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* Preparing the materials for attending ICASSP 2026 (40%)
* ICASSP Oral PPT (done)
* MT-HuBERT Journal paper refinement(5/6)
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*
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*
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|Yu Zhang
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* GPU Util [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* Iterative chain-based LLM experiments:
** PKS steadily decreases as useful information accumulates (reflecting reduced uncertainty)
** When no new useful information is introduced, increasing the number of reasoning iterations alone no longer reduces PKS.
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*
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*
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|Junhui Chen
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* Reorganized the narrative structure and identified additional experiments to include （objectives and design of the Chain structure and Single Node settings）
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*
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*
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|Jiaying Wang
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*
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*
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*
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|Xiaoxue Luo
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* USS with TDA(transformer decoder-based attractor)
** write code and train the model(in training)
* prepare my resume for Huawei internship
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*
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*
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|Bochao Hu
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*
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*
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*
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|Hongcheng Zhang
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*
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*
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*
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|Weiman Sun
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* read the paper shared by hongcheng
* fine-tune the mutli-talker llm
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*
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*
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|Ge Gao
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*convert the MTASS framework to a streaming architecture
*prepare my graduation project
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*
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2026-03-23

2026-03-23T10:40:59Z

Gaoge：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Dong Wang
||
* AIGE book (University version 1/4)
* Keep on NMI paper proof editing

||
*
||
*
|-

|-
|Lantian Li
||
*
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*
||
*
|-

|-
|Wenqiang Du
||
*
||
*
||
*
|-

|-
|Yang Wei
||
*
||
*
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*
|-

|-
|Ying Shi
||
* Revise my thesis according to Prof. Han's suggestions.
* Learn some new skills for my future job
||
*
||
*
|-

|-
|Yue Gu
||
* write my thesis
||
*
||
*
|-

|-
|Lily
||
* Revise thesis
* Journal paper rebuttal
||
*
||
*
|-

|-
|Pengqi Li
||
* Compiled the existing experimental results into a full paper draft.
* Traveled to Taiyuan to attend the interview and take the required physical examination.
||
*
||
*
|-

|-
|Junming Yuan
||
* Preparing the materials for attending ICASSP 2026 (40%)
* ICASSP Oral PPT (done)
* MT-HuBERT Journal paper refinement(5/6)
||
*
||
*
|-

|-
|Yu Zhang
||
* GPU Util [https://z1et6d3xtb.feishu.cn/wiki/XX4NwX3tJiBDcgkMi0hcFUtInHh]
* Iterative chain-based LLM experiments:
** PKS steadily decreases as useful information accumulates (reflecting reduced uncertainty)
** When no new useful information is introduced, increasing the number of reasoning iterations alone no longer reduces PKS.
||
*
||
*
|-

|-
|Junhui Chen
||
* Reorganized the narrative structure and identified additional experiments to include （objectives and design of the Chain structure and Single Node settings）
||
*
||
*
|-

|-
|Jiaying Wang
||
*
||
*
||
*
|-

|-
|Xiaoxue Luo
||
* USS with TDA(transformer decoder-based attractor)
** write code and train the model(in training)
* prepare my resume for Huawei internship
||
*
||
*
|-

|-
|Bochao Hu
||
*
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*
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*
|-

|-
|Hongcheng Zhang
||
*
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*
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*
|-

|-
|Weiman Sun
||
* read the paper shared by hongcheng
* fine-tune the mutli-talker llm
||
*
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*
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|Ge Gao
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*converted the MTASS framework from a non-streaming to a streaming architecture, expanded the classification task from binary to three classes
*finish graduation design
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