Contrasting multiple trajectories sharpens skill learning for LLMs

SkillCome generates several attempts per question and compares them to identify what separates success from failure, then stores patterns across rounds in a dual memory.

Chinese Tech
Haolin Li · Feng Hong · Ang Li · Chilin Fu · Weichang Wu · Ya Zhang · +3 more

Fudan University · Ant Group · Shanghai Jiao Tong University

Research Digest··3 min read
Li et al.

The authors tested SkillCome on six benchmarks: GSM8K, MATH, CSQA, MuSiQue, SpreadsheetBench, and WebArena.

Why this paper

From Ant Group and 2 others · Part of Agent Self-Improvement, now 21 papers

In one line

SkillCome improves skill evolution for language models by contrasting multiple successful and failed trajectories and using dual memory to derive reusable skills.

What we could check

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  • ·No stated limitations found
  • ·No benchmark numbers found

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