Upgrade digest format: Chinese-friendly Top3 with problem/method/result/impact guidance

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# ArXiv Daily Brief - 2026-03-08
## 🧠 今日 Top 3普通人版概述
## 🧠 今日 Top 3中文可读版
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
- 中文题目(意译): SurvHTE-Bench: A 基准 for Heterogeneous Treatment Effect Estimation in Survival Analysis
- 这篇在讲什么: Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applications such as preci...
- 它怎么做: 引入了 SurvHTE-Bench, the first comprehensive 基准测试 for HTE estimation with censored outcomes.
- 得出了什么结果: Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applications such as preci...
- 可能的影响: Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applications such as preci...
- arXiv: http://arxiv.org/abs/2603.05483v1
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 Attentioncs.CV
- 中文题目(意译): 加速 Text-to-Video 生成 with Calibrated Sparse Attention
- 这篇在讲什么: Recent 扩散 模型s enable high-quality 视频生成, but suffer from slow runtimes.
- 它怎么做: Motivated by this, 引入了 CalibAtt, a 训练-free method that accelerates 视频生成 via calibrated sparse attention.
- 得出了什么结果: Extensive experiments on Wan 2.1 14B, Mochi 1, and few-step distilled 模型s at various resolutions show that CalibAtt achieves up to 1.58x ...
- 可能的影响: Recent 扩散 模型s enable high-quality 视频生成, but suffer from slow runtimes.
- arXiv: http://arxiv.org/abs/2603.05503v1
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 Modelscs.RO
- 中文题目(意译): Observing and 控制 特征 in 视觉-语言-动作 模型
- 这篇在讲什么: 视觉-语言-动作 模型s (VLAs) have shown remarkable progress towards embodied intelligence.
- 它怎么做: In this work, 提出了 to close this gap by introducing and analyzing two main concepts: feature-observability and feature-controllability.
- 得出了什么结果: Our 结果显示 that targeted, lightweight interventions can reliably steer a robot's behavior while preserving closed-loop capabilities.
- 可能的影响: 视觉-语言-动作 模型s (VLAs) have shown remarkable progress towards embodied intelligence.
- arXiv: http://arxiv.org/abs/2603.05487v1
## 🔥 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**
- arXiv: http://arxiv.org/abs/2603.05483v1
- 类别: cs.LG | HotScore: 32.79 | 作者: Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss
- 类别: cs.LG | HotScore: 32.67 | 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
2. **Accelerating Text-to-Video Generation with Calibrated Sparse Attention**
- arXiv: http://arxiv.org/abs/2603.05503v1
- 类别: cs.CV | HotScore: 27.9 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata
- 类别: cs.CV | HotScore: 27.77 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata
- 速读: Accelerating Text-to-Video Generation with Calibrated Sparse Attentioncs.CV
3. **Observing and Controlling Features in Vision-Language-Action Models**
- arXiv: http://arxiv.org/abs/2603.05487v1
- 类别: cs.RO | HotScore: 27.81 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann
- 类别: cs.RO | HotScore: 27.69 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann
- 速读: Observing and Controlling Features in Vision-Language-Action Modelscs.RO
4. **Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation**
- arXiv: http://arxiv.org/abs/2603.05485v1
- 类别: cs.AI | HotScore: 26.8 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar
- 类别: cs.AI | HotScore: 26.67 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar
- 速读: Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluationcs.AI
5. **An interpretable prototype parts-based neural network for medical tabular data**
- arXiv: http://arxiv.org/abs/2603.05423v1
- 类别: cs.LG | HotScore: 25.83 | 作者: Jacek Karolczak, Jerzy Stefanowski
- 类别: cs.LG | HotScore: 25.71 | 作者: Jacek Karolczak, Jerzy Stefanowski
- 速读: An interpretable prototype parts-based neural network for medical tabular datacs.LG
## 🆕 最新上新 Top 10