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cs.CL2026
Offline Guidance, Online Reasoning: Reusing LLM Feedback for Small Language Models
Bohan Zhang, Linan Yue, Weibo Gao +3
Large language models (LLMs) offer strong reasoning capabilities but are often costly to access through commercial APIs, while small language models (SLMs) are easier to deploy loc…
cs.SE2026
SpreadsheetBench 2: Evaluating Agents on End-to-End Business Spreadsheet Workflows
Jian Zhu, Yuzheng Zhang, Zeyao Ma +11
Spreadsheets are widely used for business analysis, financial modeling, reporting, and decision-making. However, most existing spreadsheet benchmarks evaluate isolated operations s…
cs.LG2026
Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
Sijia Luo, Xiaokang Zhang, Yuxuan Hu +6
Reinforcement Learning (RL) has become essential for eliciting complex reasoning capabilities in Large Language Models (LLMs). However, the substantial memory overhead of storing K…