The authors designed Auto-Research Arena, a framework that evaluates auto-research systems by separating admissibility from improvement.
Multi-objective benchmark reveals untapped potential in auto-research systems
A new framework evaluates autonomous language-modeling research across nine efficiency targets, showing that simple search baselines outperform many sophisticated harnesses.
Big Tech
Xi Chen · Chongjian Ge · Yiran Xu · Yiqun Mei · Henrik I. Christensen · Hao Tan · +2 more
University of California San Diego · Adobe Research
Research Digest··1 min read
The authors introduce Auto-Research Arena, a multi-target benchmark for evaluating autonomous research systems in language modeling, spanning nine objectives that include model size, data, training, and inference efficiency.
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