activity
20202026
most citedKnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

370 citations · 743 across the 23 of their papers we have counts for

collaborators

24 papers

cs.AI2026

SciAtlas: A Computable Atlas of Science for Knowledge-Grounded AI Research

Shuofei Qiao, Yunxiang Wei, Busheng Zhang +16

Artificial intelligence is rapidly entering the core workflows of scientific research. Yet reliable scientific reasoning requires access to accumulated scientific knowledge with su…

cs.CL2025

Retrieval-augmented Prompt Learning for Pre-trained Foundation Models

Xiang Chen, Yixin Ou, Quan Feng +8

The pre-trained foundation models (PFMs) have become essential for facilitating large-scale multimodal learning. Researchers have effectively employed the ``pre-train, prompt, and…

cs.CL2025

Agentic Knowledgeable Self-awareness

Shuofei Qiao, Zhisong Qiu, Baochang Ren +8

Large Language Models (LLMs) have achieved considerable performance across various agentic planning tasks. However, traditional agent planning approaches adopt a "flood irrigation"…

cs.CL2024★ 3 cited

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Chenxi Wang, Xiang Chen, Ningyu Zhang +4

Multimodal Large Language Models (MLLMs) frequently exhibit hallucination phenomena, but the underlying reasons remain poorly understood. In this paper, we present an empirical ana…

cs.CL2024★ 1 cited

Knowledge Mechanisms in Large Language Models: A Survey and Perspective

Mengru Wang, Yunzhi Yao, Ziwen Xu +10

Understanding knowledge mechanisms in Large Language Models (LLMs) is crucial for advancing towards trustworthy AGI. This paper reviews knowledge mechanism analysis from a novel ta…

cs.CL2024★ 4 cited

Agent Planning with World Knowledge Model

Shuofei Qiao, Runnan Fang, Ningyu Zhang +7

Recent endeavors towards directly using large language models (LLMs) as agent models to execute interactive planning tasks have shown commendable results. Despite their achievement…