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ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
arXiv.org · 2024
1,248
cited
Humanity's Last Exam
Robotics · 2025
284
cited
CogVLM2: Visual Language Models for Image and Video Understanding
arXiv.org · 2024
200
cited
Is Mamba Effective for Time Series Forecasting?
Neurocomputing · 2024
191
cited
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Conference on Empirical Methods in Natural Language Processing · 2019
117
cited
ClusterLLM: Large Language Models as a Guide for Text Clustering
Conference on Empirical Methods in Natural Language Processing · 2023
106
cited
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
Computer Vision and Pattern Recognition · 2023
95
cited
GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
2025
93
cited
X-Class: Text Classification with Extremely Weak Supervision
North American Chapter of the Association for Computational Linguistics · 2020
84
cited
Goal-Driven Explainable Clustering via Language Descriptions
Conference on Empirical Methods in Natural Language Processing · 2023
57
cited
Re-thinking Temporal Search for Long-Form Video Understanding
Computer Vision and Pattern Recognition · 2025
38
cited
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging
Knowledge Discovery and Data Mining · 2021
38
cited
WeDef: Weakly Supervised Backdoor Defense for Text Classification
Conference on Empirical Methods in Natural Language Processing · 2022
18
cited
A Detachable and Expansible Multisensor Data Fusion Model for Perception in Level 3 Autonomous Driving System
IEEE transactions on intelligent transportation systems (Print) · 2023
13
cited
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
Annual Meeting of the Association for Computational Linguistics · 2024
11
cited
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches
Annual Meeting of the Association for Computational Linguistics · 2023
9
cited
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments
The Web Conference · 2024
9
cited
PyPose v0.6: The Imperative Programming Interface for Robotics
arXiv.org · 2023
9
cited
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition
Conference on Empirical Methods in Natural Language Processing · 2022
8
cited
WOT-Class: Weakly Supervised Open-world Text Classification
International Conference on Information and Knowledge Management · 2023
7
cited
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