The advent of transformer-based language models has reshaped how AI systems process and generate text. In software engineering (SE), these models now support di...
With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful...
Article URL: https://github.com/samuel-vitorino/sopro Comments URL: https://news.ycombinator.com/item?id=46546113 Points: 33 Comments: 10...
We prove tight lower bounds for online multicalibration, establishing an information-theoretic separation from marginal calibration. In the general setting wher...
As language models become increasingly capable, users expect them to provide not only accurate responses but also behaviors aligned with diverse human preferenc...
The diversity, quantity, and quality of manipulation data are critical for training effective robot policies. However, due to hardware and physical setup constr...
Large language models suffer from 'hallucinations'-logical inconsistencies induced by semantic noise. We propose that current architectures operate in a 'Metric...
We used machine learning and artificial intelligence: 1) to measure levels of peace in countries from news and social media and 2) to develop on-line tools that...
Agents capable of reasoning and planning in the real world require the ability of predicting the consequences of their actions. While world models possess this ...
I propose a novel framework that integrates stochastic differential equations (SDEs) with deep generative models to improve uncertainty quantification in machin...
One-shot prediction enables rapid adaptation of pretrained foundation models to new tasks using only one labeled example, but lacks principled uncertainty quant...
We present textsc{MineNPC-Task}, a user-authored benchmark and evaluation harness for testing memory-aware, mixed-initiative LLM agents in open-world Minecraft....
