collaborators

28 papers

cs.AI2026

Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation

Yifan Zhou, Qihao Yang, Yan Li +14

Scientific ideas rarely start from a blank page. They inherit mechanisms, repair known limitations, and recombine pieces of earlier work, much like biological genomes. Current benc…

cs.AI2026

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection

Qihua Pan, Zhenheng Tang, Peijie Dong +4

Evaluating Large Language Models (LLMs) incurs prohibitive computational overhead during continuous development processes. While coreset selection accelerates evaluation, existing…

cs.CL2026

Explicit Representation Alignment for Multimodal Sentiment Analysis

Baode Wang, Ziming Wang, Huacan Wang +2

Multimodal affective analysis aims to understand human sentiment and emotion by jointly modeling heterogeneous modalities such as text and images. However, multimodal models often…

cs.AI2026

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook

Xinlei Yu, Zhangquan Chen, Yongbo He +36

Latent space is rapidly emerging as a native substrate for language-based models. While modern systems are still commonly understood through explicit token-level generation, an inc…

cs.AI2026

SMH-Bench: Benchmarking LLM Agents for Environment-Grounded Reasoning and Action in Smart Homes

Kuan Li, Shuo Zhang, Huacan Wang +12

Smart homes are evolving toward complex state-dependent living environments, requiring Large Language Models (LLMs) to reason over user intent, preferences, and multi-device intera…

cs.AI2026

HomeFlow: A Data Flywheel for Smart Home Agent Training with Verifiable Simulation

Yi Gu, Huacan Wang, Shuo Zhang +10

Large language model agents are moving beyond text-only interaction toward physical-world control, with smart homes as a representative domain. Real domestic interaction requires u…