Spreadsheet-RL applies RL fine-tuning and a custom Gym environment to raise LLM agent Pass@1 scores on spreadsheet benchmarks from roughly 8-12% to 17-23%.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A case study of software redesign reveals reuse challenges and shows that semantic alignment heuristics with hierarchical clone detection reduce irrelevant clones by 33-99% and raise precision to 86%.
citing papers explorer
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Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning
Spreadsheet-RL applies RL fine-tuning and a custom Gym environment to raise LLM agent Pass@1 scores on spreadsheet benchmarks from roughly 8-12% to 17-23%.
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Investigating Code Reuse in Software Redesign: A Case Study
A case study of software redesign reveals reuse challenges and shows that semantic alignment heuristics with hierarchical clone detection reduce irrelevant clones by 33-99% and raise precision to 86%.