diff --git a/org/cases/arxiv_digest/output/2026-03-09.md b/org/cases/arxiv_digest/output/2026-03-09.md new file mode 100644 index 0000000..23a1aea --- /dev/null +++ b/org/cases/arxiv_digest/output/2026-03-09.md @@ -0,0 +1,62 @@ +# ArXiv Daily Brief - 2026-03-09 + +## 🧠 今日 Top 3(中文可读版) +1. **SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis** + - 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** + - 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** + - 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: 23.0 | 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: 18.0 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata + - 速读: Accelerating Text-to-Video Generation with Calibrated Sparse Attention(cs.CV) +3. **Observing and Controlling Features in Vision-Language-Action Models** + - arXiv: http://arxiv.org/abs/2603.05487v1 + - 类别: cs.RO | HotScore: 18.0 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann + - 速读: Observing and Controlling Features in Vision-Language-Action Models(cs.RO) +4. **Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation** + - arXiv: http://arxiv.org/abs/2603.05485v1 + - 类别: cs.AI | HotScore: 17.0 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar + - 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** + - arXiv: http://arxiv.org/abs/2603.05423v1 + - 类别: cs.LG | HotScore: 17.0 | 作者: Jacek Karolczak, Jerzy Stefanowski + - 速读: An interpretable prototype parts-based neural network for medical tabular data(cs.LG) + +## 🆕 最新上新 Top 10 +1. Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups (cs.CV) - http://arxiv.org/abs/2603.05507v1 +2. FaceCam: Portrait Video Camera Control via Scale-Aware Conditioning (cs.CV) - http://arxiv.org/abs/2603.05506v1 +3. RoboPocket: Improve Robot Policies Instantly with Your Phone (cs.RO) - http://arxiv.org/abs/2603.05504v1 +4. Accelerating Text-to-Video Generation with Calibrated Sparse Attention (cs.CV) - http://arxiv.org/abs/2603.05503v1 +5. POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation (cs.LG) - http://arxiv.org/abs/2603.05500v1 +6. The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks (cs.AI) - http://arxiv.org/abs/2603.05498v1 +7. Safe-SAGE: Social-Semantic Adaptive Guidance for Safe Engagement through Laplace-Modulated Poisson Safety Functions (cs.RO) - http://arxiv.org/abs/2603.05497v1 +8. Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels (cs.LG) - http://arxiv.org/abs/2603.05495v1 +9. Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation (cs.LG) - http://arxiv.org/abs/2603.05494v1 +10. cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots (cs.RO) - http://arxiv.org/abs/2603.05493v1 + +## Val 今日建议 +- 先读 Top 5 里的 1-2 篇,优先看是否有可直接复用的方法/代码。 +- 若你愿意,我下一步可对 Top 3 产出“中文三段式精读卡”(问题-方法-可落地点)。 diff --git a/org/cases/arxiv_digest/output/latest.md b/org/cases/arxiv_digest/output/latest.md index 78b06fc..23a1aea 100644 --- a/org/cases/arxiv_digest/output/latest.md +++ b/org/cases/arxiv_digest/output/latest.md @@ -1,4 +1,4 @@ -# ArXiv Daily Brief - 2026-03-08 +# ArXiv Daily Brief - 2026-03-09 ## 🧠 今日 Top 3(中文可读版) 1. **SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis** @@ -26,23 +26,23 @@ ## 🔥 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: 32.67 | 作者: Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss + - 类别: cs.LG | HotScore: 23.0 | 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: 27.77 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata + - 类别: cs.CV | HotScore: 18.0 | 作者: Shai Yehezkel, Shahar Yadin, Noam Elata - 速读: Accelerating Text-to-Video Generation with Calibrated Sparse Attention(cs.CV) 3. **Observing and Controlling Features in Vision-Language-Action Models** - arXiv: http://arxiv.org/abs/2603.05487v1 - - 类别: cs.RO | HotScore: 27.69 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann + - 类别: cs.RO | HotScore: 18.0 | 作者: Hugo Buurmeijer, Carmen Amo Alonso, Aiden Swann - 速读: Observing and Controlling Features in Vision-Language-Action Models(cs.RO) 4. **Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation** - arXiv: http://arxiv.org/abs/2603.05485v1 - - 类别: cs.AI | HotScore: 26.67 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar + - 类别: cs.AI | HotScore: 17.0 | 作者: Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar - 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** - arXiv: http://arxiv.org/abs/2603.05423v1 - - 类别: cs.LG | HotScore: 25.71 | 作者: Jacek Karolczak, Jerzy Stefanowski + - 类别: cs.LG | HotScore: 17.0 | 作者: Jacek Karolczak, Jerzy Stefanowski - 速读: An interpretable prototype parts-based neural network for medical tabular data(cs.LG) ## 🆕 最新上新 Top 10 diff --git a/org/cases/arxiv_digest/state/last_push.json b/org/cases/arxiv_digest/state/last_push.json index 611681f..788d1a9 100644 --- a/org/cases/arxiv_digest/state/last_push.json +++ b/org/cases/arxiv_digest/state/last_push.json @@ -1,5 +1 @@ -{ - "date": "2026-03-08", - "pushed": true, - "pushedAt": "2026-03-08T14:49:00+08:00" -} +{ "date": "2026-03-09", "pushed": true, "channel": "gmail" } diff --git a/org/cases/arxiv_digest/state/latest_state.json b/org/cases/arxiv_digest/state/latest_state.json index 466fb7d..b793175 100644 --- a/org/cases/arxiv_digest/state/latest_state.json +++ b/org/cases/arxiv_digest/state/latest_state.json @@ -1,32 +1,32 @@ { - "updatedAt": "2026-03-08T15:16:37.684004", - "date": "2026-03-08", + "updatedAt": "2026-03-09T06:53:12.730807", + "date": "2026-03-09", "papersFetched": 120, "topHot": [ { "title": "SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis", "arxiv_id": "2603.05483v1", - "score": 32.67 + "score": 23.0 }, { "title": "Accelerating Text-to-Video Generation with Calibrated Sparse Attention", "arxiv_id": "2603.05503v1", - "score": 27.77 + "score": 18.0 }, { "title": "Observing and Controlling Features in Vision-Language-Action Models", "arxiv_id": "2603.05487v1", - "score": 27.69 + "score": 18.0 }, { "title": "Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation", "arxiv_id": "2603.05485v1", - "score": 26.67 + "score": 17.0 }, { "title": "An interpretable prototype parts-based neural network for medical tabular data", "arxiv_id": "2603.05423v1", - "score": 25.71 + "score": 17.0 } ] } \ No newline at end of file