#icml
The latest AI and developer news about #icml, with the original source and a short summary.
The latest AI and developer news about #icml, with the original source and a short summary.
The platform now covers approximately 101k full texts from 2026 conferences, highlighting a shift toward LLM agents and multimodal models.
A new aggregation method accounting for correlations among LLM judges improved accuracy by 9-14% over existing methods.
A large-scale effort to reproduce over 2,200 ICML papers using AI agents verified the reliability of research.
FuriosaAI presented four papers at ICML 2026 addressing efficiency in LLM inference, training, and serving.
A new LoRA methodology that reduces LLM hallucination by leveraging Sub-Riemannian geometry has been unveiled.
An analysis of ICML 2026 papers shows that open frontier models and open AI infrastructure have become the foundation of modern AI research.
Google published research demonstrating the performance of an AI agent that reviewed 10,000 papers at major conferences such as ICML.
A research paper has been published arguing that a Dynamical Systems Reconstruction (DSR) perspective should be adopted to overcome the limitations of time series modeling.
Forgis Labs has unveiled a world model framework that understands and predicts the dynamics of physical systems using time series sensor data.
The ntkMirror technique, which prevents hallucinations by leveraging changes in a model's answers depending on evidence order, has been released.
A medical 3D mesh segmentation model called EAMS is proposed, robust to rotation and deformation.
MOOSE-Star has released a 7B model and data based on 108,717 NCBI papers.
FuriosaAI presented 6 research papers at ICML and ACL that enhance model efficiency, reasoning capability, and flexibility.
OpenAI has released PaperBench, a benchmark that evaluates AI agents' ability to reproduce state-of-the-art AI research.
Upstage presented a total of 7 papers at the ICML 2023 DMLR workshop, demonstrating its global technical capabilities in the field of Data-Centric AI.