Jun 18, 2026
ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection
ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection As language models become more specialized, developers often use "adapters"—small, mod...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Jun 18, 2026
Human-AI Coevolution Dynamics: A Formal Theory of Social Intelligence Emergence Through Long-Term Interaction
Human-AI Coevolution Dynamics: A Formal Theory of Social Intelligence Emergence Through Long-Term Interaction Current conversational AI systems often struggl...
Jun 18, 2026
Towards an Agent-First Web: Redesigning the Web for AI Agents
The World Wide Web was built on the assumption that its primary users are humans. This design choice influences everything from how websites are built to how...
Jun 18, 2026
TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology
TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology The researchers behind TxBench-PP have created a new benchmark designed...
Jun 18, 2026
Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation
Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation This paper introduces Rubric-Conditioned Self-Distillation (RCSD), a new framework design...
Jun 18, 2026
NeSyCat Torch: A Differentiable Tensor Implementation of Categorical Semantics for Neurosymbolic Learning
NeSyCat Torch: A Differentiable Tensor Implementation of Categorical Semantics for Neurosymbolic Learning Neurosymbolic AI aims to bridge the gap between the...
Jun 18, 2026
X+Slides: Benchmarking Audience-Conditioned Slide Generation
X+Slides: Benchmarking Audience-Conditioned Slide Generation Generating slide decks from documents is a common task for large language models, but current ev...
Jun 18, 2026
Analysing drivers and interdependencies in European electricity markets using XAI
Analysing drivers and interdependencies in European electricity markets using XAI This research investigates the complex factors that determine electricity p...
Jun 18, 2026
Beyond Safe Data: Pretraining-Stage Alignment with Regular Safety Reflection
Beyond Safe Data: Pretraining-Stage Alignment with Regular Safety Reflection Current methods for making large language models (LLMs) safe often focus on "cle...
Jun 17, 2026
Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure
Building personalized cardiac electrophysiology (EP) digital twins—computational models that simulate a patient’s unique heart electrical activity—is essenti...
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