Curating the frontier of Artificial Intelligence

Exploring the societal impacts of AI

在最近于 MIT, 举行的人工智能与社会论坛上，来自整个研究所的专家讨论了技术创新的潜在好处和危险……

At the recent AI and Society Forum at MIT, experts from across the Institute discussed the potential benefits and dangers of technological innovation ...

TailorMind: Towards Preference-Aligned Multimodal Content Generation

个性化内容系统依赖于可用的 UGC，当缺乏合适的内容, 延迟, 或创建成本高昂时，就会陷入困境。虽然多式联运...

Personalized content systems depend on available UGC and struggle when suitable content is absent, delayed, or costly to create. Although multimodal g...

Teaching LLMs String Matching, Backtracking, and Error Recovery to Deduce Bases and Truth Tables for the Combinatorially Exploding Bit Manipulation Puzzles

本文介绍了我们针对 NVIDIA Nemotron 模型推理挑战, 的算法创新，重点关注位操作难题。在此任务中,...

This paper presents our algorithmic innovations for the NVIDIA Nemotron Model Reasoning Challenge, focusing on Bit Manipulation Puzzles. In this task,...

PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support

心理健康评估通常依赖于孤立的筛查工具或数据驱动的模型，而这些工具往往缺乏可解释性和多维度...

Mental health assessment commonly relies on isolated screening instruments or data-driven models that often lack interpretability and multi-dimensiona...

New chip could help tiny robots traverse complex environments

麻省理工学院研究人员开发的一种新芯片可以帮助微型,低功率无人机在工业暖通空调系统内的狭窄角落快速行驶时避开障碍物...

A new chip developed by MIT researchers could help tiny, low-power UAVs avoid obstacles as they zip around tight corners inside an industrial HVAC sys...

Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining

显式技能库使使用计算机的代理更容易检查,，但仍不清楚是否可以从交互数据中挖掘此类库......

Explicit skill libraries make computer-using agents easier to inspect, but it remains unclear whether such libraries can be mined from interaction dat...

Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and UFP4 Recipe

FP4 训练有望大幅降低 LLM 预训练, 的内存和计算成本，但当前的 FP4 硬件路径和配方, 包括...

FP4 training promises substantial reductions in memory and computation cost for LLM pretraining, yet current FP4 hardware paths and recipes, including...

Interpretable Sperm Morphology Classification via Attention-Guided Deep Learning

男性不育是夫妻不育的主要原因, 通常与精子形态异常有关。虽然深度学习模型提供自动化分析...

Male infertility is a major cause of couple infertility, often linked to abnormal sperm morphology. While deep learning models offer automated analysi...

Context-Aware Hierarchical Bayesian Modeling of IVF Laboratory Environmental Conditions

IVF 妊娠率通常使用患者水平变量, 进行建模，而高分辨率实验室环境数据仍未得到充分利用。我们 ...

IVF pregnancy rates are routinely modeled using patient-level variables, while high-resolution laboratory environmental data remain underutilized. We ...

What Do Safety-Aligned LLMs Learn From Mixed Compliance Demonstrations?

先前的工作表明，上下文演示可以越狱语言模型,，但仍不清楚模型如何解释不同类型的计算机...

Prior work has shown that in-context demonstrations can jailbreak language models, but it remains unclear how models interpret different types of comp...