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cs.CL2026

MSQA: A Natively Sourced Multilingual and Multicultural SimpleQA Benchmark

Xianru Chen, Yukai Huang, Mingxiang Chen +6

The paper introduces MSQA, a benchmark of over a thousand native questions in 11 languages designed to evaluate whether multilingual models also understand the cultures behind thos…

cs.CL2026

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?

Xinyu Che, Junqi Xiong, Yunfei Ge +9

Abundant procedural knowledge on the Web holds great potential for helping agents solve long-horizon tasks. However, such knowledge is often multimodal, heterogeneous, noisy, and i…

cs.CL2025

KAT-Coder Technical Report

Zizheng Zhan, Ken Deng, Jinghui Wang +37

Recent advances in large language models (LLMs) have enabled progress in agentic coding, where models autonomously reason, plan, and act within interactive software development wor…

cs.CL2025

HiPO: Hybrid Policy Optimization for Dynamic Reasoning in LLMs

Ken Deng, Zizheng Zhan, Wen Xiang +25

Large Language Models (LLMs) increasingly rely on Chain-of-Thought (CoT) reasoning to improve accuracy on complex tasks. However, always generating lengthy reasoning traces is inef…

cs.CL2025

MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation

Xinping Lei, Tong Zhou, Yubo Chen +2

Large Language Models (LLMs) hold substantial potential for accelerating academic ideation but face critical challenges in grounding ideas and mitigating confirmation bias for furt…

cs.CL2025

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?

Qinyan Zhang, Xinping Lei, Ruijie Miao +18

Large Language Models (LLMs) achieve strong performance on diverse tasks but often exhibit cognitive inertia, struggling to follow instructions that conflict with the standardized…