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From the 1 of 11 linked papers with an AI index.

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11 papers

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

Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Bowen Ye, Rang Li, Qibin Yang +10

Large language models are increasingly deployed as autonomous agents for multi-step workflows in real-world software environments. However, existing agent benchmarks are limited by…

cs.LG2026

Fat-Cat: Document-Driven Metacognitive Multi-Agent System for Complex Reasoning

Tong Yang, Yemin Wang, Chaoning Zhang +1

The effectiveness of LLM-based agents is often limited not by model capacity alone, but by how efficiently contextual information is utilized at runtime. Existing agent frameworks…

cs.LG2026

CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter

Zihang Li, Yangdong Ruan, Wenjun Liu +2

Although retrieval-augmented generation(RAG) significantly improves generation quality by retrieving external knowledge bases and integrating generated content, it faces computatio…

cs.LG2026

TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment

Zhewen Tan, Wenhan Yu, Jianfeng Si +9

In recent years, safety risks associated with large language models have become increasingly prominent, highlighting the urgent need to mitigate the generation of toxic and harmful…

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…