most citedChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning

4 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting

Liang Twist Shan, Tianyu Hu, Hao Yan +1

Large language models (LLMs) have been rapidly improving in long-context tasks, powered by Chain-of-Thought (CoT) reasoning. However, the internal mechanisms underlying this improv…

cs.CV2026

ShutterMuse: Capture-Time Photography Guidance with MLLMs

Jiayu Li, Yixiao Fang, Tianyu Hu +5

Real-world photography requires capture-time guidance for both camera framing and subject pose. Yet existing aesthetic cropping benchmarks mainly evaluate post-hoc crop prediction…

cs.CL2026

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents

Tianyu Hu, Weikai Lin, Weizhi Zhang +2

Long-term conversational agents must decide which turns to store in external memory, yet recent systems rely on autoregressive LLM generation at every turn to make that decision. W…

cs.CV2025

PPTBench: Towards Holistic Evaluation of Large Language Models for PowerPoint Layout and Design Understanding

Zheng Huang, Xukai Liu, Tianyu Hu +2

PowerPoint presentations combine rich textual content with structured visual layouts, making them a natural testbed for evaluating the multimodal reasoning and layout understanding…

cs.AI2025

Multi-Agent Debate for LLM Judges with Adaptive Stability Detection

Tianyu Hu, Zhen Tan, Song Wang +2

With advancements in reasoning capabilities, Large Language Models (LLMs) are increasingly employed for automated judgment tasks. While LLMs-as-Judges offer promise in automating e…

cs.CL2025★ 4 cited

ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning

Xiangru Tang, Tianyu Hu, Muyang Ye +9

Chemical reasoning usually involves complex, multi-step processes that demand precise calculations, where even minor errors can lead to cascading failures. Furthermore, large langu…