GRADS represents each question-answer pair as an evidence graph.
Evidence graphs produce synthetic research tasks with controllable difficulty
GRADS tracks indispensable evidence and inference steps, producing tasks whose requested difficulty corresponds to greater measured reasoning depth and lower solver success.
Big Tech
Gaocheng Yang · Ruijie Tao · Kai Ye · Senhua Zhang · Zhengqin Zhu · Ziyang Li
Johns Hopkins University · Nanjing University · Amazon
Research Digest··3 min read
Yang and colleagues introduce GRADS, a pipeline for synthesizing multi-hop questions while explicitly tracking the evidence needed to answer them.
Why this paper
From Amazon and 2 others
In one line
GRADS generates synthetic question-answer data with graph-regulated difficulty, producing verified tasks where empirical hardness matches requested hardness and improves agent training.
What we could check
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