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cs.AI2026

Beyond Rephrasing: Book-Level Organization Improves Synthetic Textbook Data for Mid-Training

Jiawen Tao, Miao Peng, Yaoming Li +7

The paper introduces a pipeline that creates synthetic textbooks by clustering source material, planning hierarchical tables of contents, and assembling sections into full books, s…

cs.AI2026

Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows

Yilun Yao, Xinyu Tan, Chao-Hsuan Liu +9

LLM agents are increasingly deployed as executable systems that use tools, modify workspaces, and produce concrete artifacts. In such workflows, performance depends not only on the…

cs.AI2026

MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection

Zhewen Tan, Yilun Yao, Huiyan Jin +9

Large language model agents increasingly rely on persistent memory to store past interactions, retrieve relevant demonstrations, and improve long-horizon task execution. However, t…

cs.AI2026

MCPAgentBench: A Real-world Task Benchmark for Evaluating LLM Agent MCP Tool Use

Wenrui Liu, Zixiang Liu, Elsie Dai +5

Large Language Models (LLMs) are increasingly serving as autonomous agents, and their utilization of external tools via the Model Context Protocol (MCP) is considered a future tren…

cs.AI2026

EntroCoT: Enhancing Chain-of-Thought via Adaptive Entropy-Guided Segmentation

Zihang Li, Yuhang Wang, Yikun Zong +6

Chain-of-Thought (CoT) prompting has significantly enhanced the mathematical reasoning capabilities of Large Language Models. We find existing fine-tuning datasets frequently suffe…