SPECTRA enables supervision-free bootstrapping of agentic capabilities in SVLMs via cascaded tool rollout alignment, multi-objective rewards, and the TIU metric, yielding up to 5% higher task accuracy and 9% better tool efficiency.
arXiv preprint arXiv:2404.09992
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.AI 3representative citing papers
AndroidWorld is a dynamic, reproducible Android benchmark that generates unlimited natural-language tasks for autonomous agents and shows current agents succeed on only 30.6 percent of them.
A survey of evaluation methods for LLM-based agents from five perspectives, identifying trends toward realistic benchmarks and gaps in safety, cost-efficiency, and robustness.
citing papers explorer
-
Waking Up Blind: Cold-Start Optimization of Supervision-Free Agentic Trajectories for Grounded Visual Perception
SPECTRA enables supervision-free bootstrapping of agentic capabilities in SVLMs via cascaded tool rollout alignment, multi-objective rewards, and the TIU metric, yielding up to 5% higher task accuracy and 9% better tool efficiency.
-
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
AndroidWorld is a dynamic, reproducible Android benchmark that generates unlimited natural-language tasks for autonomous agents and shows current agents succeed on only 30.6 percent of them.
-
Survey on Evaluation of LLM-based Agents
A survey of evaluation methods for LLM-based agents from five perspectives, identifying trends toward realistic benchmarks and gaps in safety, cost-efficiency, and robustness.