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Understand new AI research with readable explanations and links to the original papers.
The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers This research investigates how documentation practices in ar...
Greed Is Learned: Visible Incentives as Reward-Hacking Triggers explores how AI agents can become "addicted" to visible reward proxies, such as KPI dashboard...
A Causal Model of Theory of Mind in Conflict for Artificial Intelligence This paper addresses a fundamental gap in artificial intelligence: knowing when an A...
Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification Accurate classification of Harmonized Tariff Schedu...
RAID: Semantic Graph Diffusion for True Cold-Start and Cross-Lingual Forecasting Time-series forecasting models often struggle when they encounter a "cold-st...
GIST-CMTF: Goal-State Inference for Causal Minimal Tool Filtering in LLM Agents Tool-augmented AI agents are increasingly capable of performing complex tasks...
Bayesian Inference and Decision Audits for Public Archives of Frontier AI Evaluations This paper addresses the problem that current AI leaderboards are often...
MA-SBI: Misspecification-Aware Simulation-Based Inference via Side-Channel Guidance Simulation-based inference (SBI) is a powerful tool for scientists to est...
When in Doubt, Plan It Out: Committed Small Language Model Deliberation for Reactive Reinforcement Learning Reinforcement Learning (RL) agents are excellent...
Abstracting Cross-Domain Action Sequences into Interpretable Workflows Digital applications generate massive amounts of interaction logs—records of every cli...
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