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← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6,405 papers
Papers per year
2007: 3
2017: 2
2018: 3
2019: 10
2020: 49
2021: 53
2022: 188
2023: 558
2024: 1910
2025: 3619
2026: 10
Papers
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
CVPR 2024
JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups
CVPR 2024
Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
CVPR 2024
How to Configure Good In-Context Sequence for Visual Question Answering
CVPR 2024
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
CVPR 2024
Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
CVPR 2024
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
CVPR 2024
AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond
CVPR 2024
OneLLM: One Framework to Align All Modalities with Language
CVPR 2024
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld
CVPR 2024
ChatPose: Chatting about 3D Human Pose
CVPR 2024
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
CVPR 2024
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
CVPR 2024
LLaFS: When Large Language Models Meet Few-Shot Segmentation
CVPR 2024
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
CVPR 2024
Compositional Chain-of-Thought Prompting for Large Multimodal Models
CVPR 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
EACL 2024
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
EACL 2024
Can Large Language Models Understand Context?
EACL 2024
Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models
EACL 2024
Testing the Depth of ChatGPT’s Comprehension via Cross-Modal Tasks Based on ASCII-Art: GPT3.5’s Abilities in Regard to Recognizing and Generating ASCII-Art Are Not Totally Lacking
EACL 2024
Cross-lingual Editing in Multilingual Language Models
EACL 2024
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference
EACL 2024
Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation
EACL 2024
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization
EACL 2024
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