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MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios

Beginner
Zhiheng Song, Jingshuai Zhang et al.Feb 26arXiv

MobilityBench is a big, carefully built test that checks how well AI helpers can plan real-world routes using natural language and map tools.

#MobilityBench#route-planning agents#large language models

Learning Personalized Agents from Human Feedback

Beginner
Kaiqu Liang, Julia Kruk et al.Feb 18arXiv

AI helpers often don’t know new users’ tastes and can’t keep up when those tastes change.

#personalization#human feedback#pre-action clarification

LLM-in-Sandbox Elicits General Agentic Intelligence

Beginner
Daixuan Cheng, Shaohan Huang et al.Jan 22arXiv

This paper shows that giving an AI a safe, tiny virtual computer (a sandbox) lets it solve many kinds of problems better, not just coding ones.

#LLM-in-Sandbox#Agentic Intelligence#Reinforcement Learning