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Enhance arXiv digest with plain-language Top3 summaries

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This commit is contained in:
Chen Gu
2026-08-13 17:00:21 +08:00
parent 84ad40d00a
commit 5333d2bcd3
3 changed files with 50 additions and 10 deletions
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org/cases/arxiv_digest/arxiv_daily_digest.py
+18
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@@ -105,6 +105,18 @@ def one_liner(p):
return f"{t}（{p['primary']}）" return f"{t}（{p['primary']}）"
def plain_summary(p):
s = p.get('summary', '')
s = re.sub(r'\s+', ' ', s).strip()
if not s:
return '这篇主要在提出一个新方法，并用实验验证它是否更好。'
# take first sentence-like chunk
chunk = re.split(r'(?<=[\.!?])\s+', s)[0]
if len(chunk) > 120:
chunk = chunk[:117] + '...'
return f"它在做的事：{chunk}"
def build_digest(papers): def build_digest(papers):
# limit scoring set for speed/stability # limit scoring set for speed/stability
recent_pool = sorted(papers, key=lambda x: x['published'], reverse=True)[:40] recent_pool = sorted(papers, key=lambda x: x['published'], reverse=True)[:40]
@@ -125,6 +137,12 @@ def to_md(hot, latest):
lines = [] lines = []
lines.append(f"# ArXiv Daily Brief - {today}") lines.append(f"# ArXiv Daily Brief - {today}")
lines.append('') lines.append('')
lines.append('## 🧠 今日 Top 3（普通人版概述）')
for i, p in enumerate(hot[:3], 1):
lines.append(f"{i}. **{p['title']}**")
lines.append(f" - 一句话看懂: {plain_summary(p)}")
lines.append(f" - 你可能会关心: {one_liner(p)}")
lines.append('')
lines.append('## 🔥 今日热度 Top 5（新鲜度+关键词+HN提及+代码线索）') lines.append('## 🔥 今日热度 Top 5（新鲜度+关键词+HN提及+代码线索）')
for i, p in enumerate(hot, 1): for i, p in enumerate(hot, 1):
lines.append(f"{i}. **{p['title']}**") lines.append(f"{i}. **{p['title']}**")
org/cases/arxiv_digest/output/2026-03-08.md
+16 -5
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@@ -1,25 +1,36 @@
# ArXiv Daily Brief - 2026-03-08 # ArXiv Daily Brief - 2026-03-08
## 🧠 今日 Top 3（普通人版概述）
1. **SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis**
- 一句话看懂: 它在做的事：Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applic...
- 你可能会关心: SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival An...（cs.LG）
2. **Accelerating Text-to-Video Generation with Calibrated Sparse Attention**
- 一句话看懂: 它在做的事：Recent diffusion models enable high-quality video generation, but suffer from slow runtimes.
- 你可能会关心: Accelerating Text-to-Video Generation with Calibrated Sparse Attention（cs.CV）
3. **Observing and Controlling Features in Vision-Language-Action Models**
- 一句话看懂: 它在做的事：Vision-Language-Action Models (VLAs) have shown remarkable progress towards embodied intelligence.
- 你可能会关心: Observing and Controlling Features in Vision-Language-Action Models（cs.RO）
## 🔥 今日热度 Top 5（新鲜度+关键词+HN提及+代码线索） ## 🔥 今日热度 Top 5（新鲜度+关键词+HN提及+代码线索）
1. **SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis** 1. **SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis**
- arXiv: http://arxiv.org/abs/2603.05483v1 - arXiv: http://arxiv.org/abs/2603.05483v1
- 类别: cs.LG | HotScore: 33.06 | 作者: Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss - 类别: cs.LG | HotScore: 32.79 | 作者: Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss
- 速读: SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival An...（cs.LG） - 速读: SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival An...（cs.LG）
2. **Accelerating Text-to-Video Generation with Calibrated Sparse Attention** 2. **Accelerating Text-to-Video Generation with Calibrated Sparse Attention**
- arXiv: http://arxiv.org/abs/2603.05503v1 - arXiv: http://arxiv.org/abs/2603.05503v1
- 类别: cs.CV | HotScore: 28.17 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata - 类别: cs.CV | HotScore: 27.9 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata
- 速读: Accelerating Text-to-Video Generation with Calibrated Sparse Attention（cs.CV） - 速读: Accelerating Text-to-Video Generation with Calibrated Sparse Attention（cs.CV）
3. **Observing and Controlling Features in Vision-Language-Action Models** 3. **Observing and Controlling Features in Vision-Language-Action Models**
- arXiv: http://arxiv.org/abs/2603.05487v1 - arXiv: http://arxiv.org/abs/2603.05487v1
- 类别: cs.RO | HotScore: 28.08 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann - 类别: cs.RO | HotScore: 27.81 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann
- 速读: Observing and Controlling Features in Vision-Language-Action Models（cs.RO） - 速读: Observing and Controlling Features in Vision-Language-Action Models（cs.RO）
4. **Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation** 4. **Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation**
- arXiv: http://arxiv.org/abs/2603.05485v1 - arXiv: http://arxiv.org/abs/2603.05485v1
- 类别: cs.AI | HotScore: 27.06 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar - 类别: cs.AI | HotScore: 26.8 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar
- 速读: Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation（cs.AI） - 速读: Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation（cs.AI）
5. **An interpretable prototype parts-based neural network for medical tabular data** 5. **An interpretable prototype parts-based neural network for medical tabular data**
- arXiv: http://arxiv.org/abs/2603.05423v1 - arXiv: http://arxiv.org/abs/2603.05423v1
- 类别: cs.LG | HotScore: 26.1 | 作者: Jacek Karolczak, Jerzy Stefanowski - 类别: cs.LG | HotScore: 25.83 | 作者: Jacek Karolczak, Jerzy Stefanowski
- 速读: An interpretable prototype parts-based neural network for medical tabular data（cs.LG） - 速读: An interpretable prototype parts-based neural network for medical tabular data（cs.LG）
## 🆕 最新上新 Top 10 ## 🆕 最新上新 Top 10
org/cases/arxiv_digest/output/latest.md
+16 -5
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@@ -1,25 +1,36 @@
# ArXiv Daily Brief - 2026-03-08 # ArXiv Daily Brief - 2026-03-08
## 🧠 今日 Top 3（普通人版概述）
1. **SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis**
- 一句话看懂: 它在做的事：Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applic...
- 你可能会关心: SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival An...（cs.LG）
2. **Accelerating Text-to-Video Generation with Calibrated Sparse Attention**
- 一句话看懂: 它在做的事：Recent diffusion models enable high-quality video generation, but suffer from slow runtimes.
- 你可能会关心: Accelerating Text-to-Video Generation with Calibrated Sparse Attention（cs.CV）
3. **Observing and Controlling Features in Vision-Language-Action Models**
- 一句话看懂: 它在做的事：Vision-Language-Action Models (VLAs) have shown remarkable progress towards embodied intelligence.
- 你可能会关心: Observing and Controlling Features in Vision-Language-Action Models（cs.RO）
## 🔥 今日热度 Top 5（新鲜度+关键词+HN提及+代码线索） ## 🔥 今日热度 Top 5（新鲜度+关键词+HN提及+代码线索）
1. **SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis** 1. **SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis**
- arXiv: http://arxiv.org/abs/2603.05483v1 - arXiv: http://arxiv.org/abs/2603.05483v1
- 类别: cs.LG | HotScore: 33.06 | 作者: Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss - 类别: cs.LG | HotScore: 32.79 | 作者: Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss
- 速读: SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival An...（cs.LG） - 速读: SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival An...（cs.LG）
2. **Accelerating Text-to-Video Generation with Calibrated Sparse Attention** 2. **Accelerating Text-to-Video Generation with Calibrated Sparse Attention**
- arXiv: http://arxiv.org/abs/2603.05503v1 - arXiv: http://arxiv.org/abs/2603.05503v1
- 类别: cs.CV | HotScore: 28.17 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata - 类别: cs.CV | HotScore: 27.9 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata
- 速读: Accelerating Text-to-Video Generation with Calibrated Sparse Attention（cs.CV） - 速读: Accelerating Text-to-Video Generation with Calibrated Sparse Attention（cs.CV）
3. **Observing and Controlling Features in Vision-Language-Action Models** 3. **Observing and Controlling Features in Vision-Language-Action Models**
- arXiv: http://arxiv.org/abs/2603.05487v1 - arXiv: http://arxiv.org/abs/2603.05487v1
- 类别: cs.RO | HotScore: 28.08 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann - 类别: cs.RO | HotScore: 27.81 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann
- 速读: Observing and Controlling Features in Vision-Language-Action Models（cs.RO） - 速读: Observing and Controlling Features in Vision-Language-Action Models（cs.RO）
4. **Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation** 4. **Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation**
- arXiv: http://arxiv.org/abs/2603.05485v1 - arXiv: http://arxiv.org/abs/2603.05485v1
- 类别: cs.AI | HotScore: 27.06 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar - 类别: cs.AI | HotScore: 26.8 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar
- 速读: Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation（cs.AI） - 速读: Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation（cs.AI）
5. **An interpretable prototype parts-based neural network for medical tabular data** 5. **An interpretable prototype parts-based neural network for medical tabular data**
- arXiv: http://arxiv.org/abs/2603.05423v1 - arXiv: http://arxiv.org/abs/2603.05423v1
- 类别: cs.LG | HotScore: 26.1 | 作者: Jacek Karolczak, Jerzy Stefanowski - 类别: cs.LG | HotScore: 25.83 | 作者: Jacek Karolczak, Jerzy Stefanowski
- 速读: An interpretable prototype parts-based neural network for medical tabular data（cs.LG） - 速读: An interpretable prototype parts-based neural network for medical tabular data（cs.LG）
## 🆕 最新上新 Top 10 ## 🆕 最新上新 Top 10