activity
20202026
most citedHuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

265 citations · 360 across the 67 of their papers we have counts for

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6 papers · 1 filter

cs.AI2025

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization

Xingyu Wu, Yuchen Yan, Shangke Lyu +7

Large reasoning models have achieved remarkable performance through extended chain-of-thought sequences, yet this computational freedom leads to excessive token generation even for…

cs.AI2025

Hierarchical Budget Policy Optimization for Adaptive Reasoning

Shangke Lyu, Linjuan Wu, Yuchen Yan +7

Large reasoning models achieve remarkable performance through extensive chain-of-thought generation, yet they suffer from a critical inefficiency: applying uniformly extensive reas…

cs.AI2025

Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systems

Fei Tang, Yongliang Shen, Hang Zhang +7

Humans can flexibly switch between different modes of thinking based on task complexity: from rapid intuitive judgments to in-depth analytical understanding. However, current Graph…

cs.AI2024

Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization

Wenqi Zhang, Ke Tang, Hai Wu +7

Large Language Models (LLMs) exhibit robust problem-solving capabilities for diverse tasks. However, most LLM-based agents are designed as specific task solvers with sophisticated…

cs.AI2022

Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph

Chang Zong, Yueting Zhuang, Weiming Lu +2

Predicting the impact of publications in science and technology has become an important research area, which is useful in various real world scenarios such as technology investment…

cs.AI2022

Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction

Xinyu Zhu, Yongliang Shen, Weiming Lu

Concomitant administration of drugs can cause drug-drug interactions (DDIs). Some drug combinations are beneficial, but other ones may cause negative effects which are previously u…