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Understand new AI research with readable explanations and links to the original papers.
What the paper is about Long horizon language model agents continually accumulate reasoning history, increasing context length and inference cost even after...
What the paper is about Large language models increasingly operate as persistent assistants in user-facing, shared-session, and tool-augmented settings.
AD-WM: Action-Discriminative World Models for Counterfactual Model Predictive Control Latent world models are commonly used in robotics to predict how a scen...
Jev-Mobile is a new framework designed to make autonomous mobile agents more efficient.
What the paper is about Imagined speech decoding from electroencephalography (EEG) has gained increasing attention as a potential communication pathway for i...
What the paper is about Before a product or policy change ships, the question that matters is how people will react to it.
Screen Before You Serve: Simulation for Production Customer Experience AI Agents at 140M Scale explores a new way to test AI customer support agents before t...
A Living Benchmark for Information Retrieval from Electronic Health Records As hospitals increasingly integrate large language models (LLMs) into electronic...
What the paper is about Improving the scientific coding capabilities of large language models (LLMs) requires high-quality training data.
What the paper is about Multi-agent deliberation can improve performance, but what happens when some agents do not act in good faith?
Start with the overview to understand the paper’s main idea, then follow its original paper link for the methods, results and limitations.
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