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Understand new AI research with readable explanations and links to the original papers.
SCPRM: A Schema-aware Cumulative Process Reward Model for Knowledge Graph Question Answering Large language models are powerful tools for complex reasoning,...
Adapting large pretrained models to new tasks typically involves two separate steps: compressing the model to reduce its size and fine-tuning it to improve p...
AgentFloor: How Far Up the tool use Ladder Can Small Open-Weight Models Go? Production agentic systems often rely on massive, expensive "frontier" models for...
Token Arena: A Continuous Benchmark Unifying Energy and Cognition in AI Inference Public AI benchmarks often evaluate models as monolithic entities, ignoring...
To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling Large Language Models (LLMs) are increasingly being equipped with external tools...
Learn where to Click from Yourself: On-Policy Self-Distillation for GUI Grounding introduces a new framework, GUI-SD, designed to improve how autonomous agen...
AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning Reinforcement learning (RL) is a powerful tool for training AI agents to perfo...
On the Role of Artificial Intelligence in Human-Machine Symbiosis explores how we can identify the specific way an AI has contributed to a piece of text.
Instance-Aware Parameter Configuration in Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem This research addresses...
Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling explores a new way to build "world models"—internal simulators that al...
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