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cs.CL2026

Behavior2Trip: Towards Personalized Travel Planning via User Behavior Trajectory

Zihao Cheng, Yingyu Shan, Hongru Wang +6

Travel planning agents assist users in generating personalized travel plans by modeling their individual preferences. Existing agents either rely on explicit user instructions or e…

cs.CL2026

PEC-Home: Interpretation of Progressively Elliptical Commands in Smart Homes

Yingyu Shan, Zeming Liu, Silin Li +4

Recent advancements in Large Language Models (LLMs) have empowered home assistants with natural language interaction capabilities. However, current assistants overlook the progress…

cs.CL2026

Terminal-World: Scaling Terminal-Agent Environments via Agent Skills

Zihao Cheng, Hongru Wang, Zeming Liu +6

Terminal agents extend Large Language Models with the ability to execute tasks directly in command-line environments, but their progress is bottlenecked by the scarcity of high-qua…

cs.CL2025

Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst

Hongru Wang, Deng Cai, Wanjun Zhong +4

Inference-time scaling has attracted much attention which significantly enhance the performance of Large Language Models (LLMs) in complex reasoning tasks by increasing the length…

cs.CL2025

Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges

Hongru Wang, Wenyu Huang, Yufei Wang +7

Existing benchmarks that assess Language Models (LMs) as Language Agents (LAs) for tool use primarily focus on stateless, single-turn interactions or partial evaluations, such as t…