May 4, 2026
Position: agentic AI orchestration should be Bayes-consistent
Position: agentic AI orchestration should be Bayes-consistent This paper argues that while Large Language Models (LLMs) are excellent at predicting text, the...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
May 1, 2026
Characterizing the Consistency of the Emergent Misalignment Persona
Characterizing the Consistency of the Emergent Misalignment Persona This paper investigates "emergent misalignment" (EM), a phenomenon where fine-tuning a la...
May 1, 2026
Language Models Refine Mechanical Linkage Designs Through Symbolic Reflection and Modular Optimisation
Language Models Refine Mechanical Linkage Designs Through Symbolic Reflection and Modular Optimisation Designing mechanical linkages is a complex engineering...
May 1, 2026
Synthetic Computers at Scale for Long-Horizon Productivity Simulation
Synthetic Computers at Scale for Long-Horizon Productivity Simulation This paper introduces a new methodology for creating realistic, large-scale synthetic c...
May 1, 2026
Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI
Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI Research into how teachers and students int...
May 1, 2026
RHyVE: Competence-Aware Verification and Phase-Aware Deployment for LLM-Generated Reward Hypotheses
Large language models (LLMs) have made it significantly easier to generate reward functions for reinforcement learning, but these generated rewards are not a...
May 1, 2026
D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery
D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery Scientific research is increasingly powered by language models that can wri...
May 1, 2026
Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs
Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs Current multi-agent AI systems often rely on rigid, pre-defined archit...
May 1, 2026
From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pokémon Case Study
From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pokémon Case Study This paper explores a new way to combat the "stale" metagames that of...
May 1, 2026
GUI Agents with Reinforcement Learning: Toward Digital Inhabitants
GUI Agents with Reinforcement Learning: Toward Digital Inhabitants explores how to move beyond simple automation tools toward intelligent agents that can nav...
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