Hannah Le, Ramesh Ramasamy, Alex Urrutia, Mahsa Yazdani, Tim Proctor, Kenny Workman
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2026-06-19
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7 min
AI
TxBench-PP: 分析 AI 药物在小分子临床前药理学上的性能
TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology
人工智能(AI)代理承诺通过压缩解释和决策循环来加速药物发现,但实际部署...
Artificial intelligence (AI) agents promise to accelerate drug discovery by compressing interpretation and decision-making loops, but practical deploy...
01
Haodong Chen, Xuanhe Zhou, Wei Zhou, Xinyue Shao, Yanbing Zhu, Bo Wang, Jiawei Hong, Anya Jia, Fan Wu
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2026-06-19
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9 min
AI
X+Slides: 基准测试观众条件幻灯片生成
X+Slides: Benchmarking Audience-Conditioned Slide Generation
从源文档自动生成幻灯片是大型语言模型(LLMs) 的一个重要应用。现有基准主要...
Automatically generating slide decks from source documents is an important application of large language models (LLMs). Existing benchmarks primarily ...
02
Daniel Romero Schellhorn, Till Mossakowski, Björn Gehrke
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2026-06-19
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6 min
AI
NeSyCat Torch: 用于神经符号学习的分类语义的可微张量实现
NeSyCat Torch: A Differentiable Tensor Implementation of Categorical Semantics for Neurosymbolic Learning
神经符号语义是支离破碎的:经典,模糊,概率和神经系统每个都通过自己的归纳规则定义真理。 NeSyCat, 扩展...
Neurosymbolic semantics is fragmented: classical, fuzzy, probabilistic and neural systems each define truth by their own inductive rules. NeSyCat, ext...
03
Siyi Gu, Jialin Chen, Sophia Zhou, Arman Cohan, Rex Ying
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2026-06-19
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7 min
AI
重新思考奖励监督: 条件自蒸馏
Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation
推理语言模型的后训练通常由具有可验证奖励的监督蒸馏和强化学习驱动。蒸馏...
Post-training of reasoning language models is commonly driven by supervised distillation and reinforcement learning with verifiable rewards. Distillat...
04
yxc0433
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2026-06-19
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3 min
AI
媒体中的麻省理工学院: 对于科技的未来, "马萨诸塞州绝对可以领先"
MIT in the media: For the future of tech, "Massachusetts can absolutely lead"
6 月 9 日, 《波士顿环球报》发布了 2026 年 “Tech Power Players” 名单, 表彰了全马技术和商业领域 50 位有影响力的当地领导者...
On June 9, The Boston Globe released its 2026 “Tech Power Players” list, recognizing 50 influential local leaders in technology and business across Ma...
05
yxc0433
·
2026-06-18
·
6 min
US-China Trade
China regulator decries 'tech hype speculation and AI stock
China regulator decries 'tech hype' speculation and AI stock
China will crack down on technology themes designed to boost stock prices, the top securities regulator said, signaling Beijing的 growing unease with ...
China will crack down on technology themes designed to boost stock prices, the top securities regulator said, signaling Beijing's growing unease with ...
06
yxc0433
·
2026-06-18
·
8 min
US-China Trade
七国集团峰会在没有北京的情况下结束,中国推动人工智能安全
China pushes for AI safety as G7 summit wraps up without Beijing
BEIJING — Senior Chinese officials on Wednesday stressed Beijing的 plans to share artificial intelligence globally and safely, the latest sign of how ...
BEIJING — Senior Chinese officials on Wednesday stressed Beijing's plans to share artificial intelligence globally and safely, the latest sign of how ...
07
Sajad Movahedi, Vera Milovanović, Shlomo Libo Feigin, Alexander Theus, Thomas Hofmann, Valentina Boeva, T. Konstantin Rusch, Antonio Orvieto
·
2026-06-18
·
5 min
AI
定点 Reasoners: 稳定且自适应的深环变压器
Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers
循环架构为学习需要组合推理的任务的逐步过程提供了归纳偏差。电子数量...
Looped architectures provide an inductive bias toward learning step-by-step procedures for tasks that require compositional reasoning. The number of e...
08
Qi Chai, Wenhao Shen, Nanjie Yao, Yue Xia, Kaiyong Zhao, Jie Ma, Guosheng Lin, Hao Wang
·
2026-06-18
·
9 min
AI
EvolveNav: 用于零射击目标导航的主动预反射和自进化记忆
EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation
零射击对象目标导航 (ZS-OGN) 需要具体代理在没有任何事先训练的情况下探索和定位目标对象。为此,最近...
Zero-Shot Object-Goal Navigation (ZS-OGN) requires embodied agents to explore and locate target objects without any prior training. To this end, recen...
09
Adam Zewe | MIT News
·
2026-06-18
·
10 min
AI
AI 能告诉你钥匙落在哪里?
Could AI tell you where you left your keys?
一位汽车工厂的工人可以记得前一天晚上她把部分组装好的部件留在的储物箱,,并迅速返回那个地点去取东西。
An auto factory worker can remember the storage bin where she left a partly assembled component the night before, and quickly return to that spot to p...
10