2 citations · 5 across the 8 of their papers we have counts for
8 papers
GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, :, Aohan Zeng +184
We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (AR…
SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images
Zepeng Xin, Kaiyu Li, Luodi Chen +6
Effectively grounding complex language to pixels in remote sensing (RS) images is a critical challenge for applications like disaster response and environmental monitoring. Current…
OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth?
Xuetian Chen, Yinghao Chen, Xinfeng Yuan +12
Computer-using agents have shown strong potential to boost human productivity and enable new application forms across platforms. While recent advances have led to usable applicatio…
Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support
Guoxin Wang, Minyu Gao, Shuai Yang +9
Large language models (LLMs), particularly those with reasoning capabilities, have rapidly advanced in recent years, demonstrating significant potential across a wide range of appl…
Can artificial intelligence predict clinical trial outcomes?
Shuyi Jin, Lu Chen, Hongru Ding +2
This study evaluates the performance of large language models (LLMs) and the HINT model in predicting clinical trial outcomes, focusing on metrics including Balanced Accuracy, Matt…
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment
Lu Chen, Yuxuan Huang, Yixing Li +6
This paper presents a method to analyze the inference patterns used by Large Language Models (LLMs) for judgment in a case study on legal LLMs, so as to identify potential incorrec…
Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding
Lung-Chuan Chen, Zong-Ru Li
Large language models (LLMs) have demonstrated exceptional performance in various NLP applications. However, the majority of existing open-source LLMs are pre-trained primarily on…
Text Classification Based on Knowledge Graphs and Improved Attention Mechanism
Siyu Li, Lu Chen, Chenwei Song +1
To resolve the semantic ambiguity in texts, we propose a model, which innovatively combines a knowledge graph with an improved attention mechanism. An existing knowledge base is ut…