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20232026
most citedA Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

2.1k citations · 2.1k across the 31 of their papers we have counts for

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5 papers · 1 filter

cs.AI2025

MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents

Ruihan Chen, Qiming Li, Xiaocheng Feng +9

Large Vision-Language Models (LVLMs) have shown strong potential as multilingual Graphical User Interface (GUI) agents, as evidenced by existing GUI benchmarks. However, these benc…

cs.CL2025

Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering

Kun Zhu, Lizi Liao, Yuxuan Gu +3

The rapid growth of scientific literature demands efficient methods to organize and synthesize research findings. Existing taxonomy construction methods, leveraging unsupervised cl…

cs.CL2025

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging

Zijian Li, Xiaocheng Feng, Huixin Liu +3

With the development of large language models, fine-tuning has emerged as an effective method to enhance performance in specific scenarios by injecting domain-specific knowledge. I…

cs.AI2025

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems

Zekun Zhou, Xiaocheng Feng, Lei Huang +11

Research is a fundamental process driving the advancement of human civilization, yet it demands substantial time and effort from researchers. In recent years, the rapid development…

cs.CL2025

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization

Lei Huang, Xiaocheng Feng, Weitao Ma +9

Ensuring contextual faithfulness in retrieval-augmented large language models (LLMs) is crucial for building trustworthy information-seeking systems, particularly in long-form ques…