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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6405 directly classified 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
Bootstrapping Cognitive Agents with a Large Language Model
AAAI 2024
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
AAAI 2024
Text-to-Image Generation for Abstract Concepts
AAAI 2024
Improving Automatic VQA Evaluation Using Large Language Models
AAAI 2024
Progressive Text-to-Image Diffusion with Soft Latent Direction
AAAI 2024
Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis
AAAI 2024
Large Language Models Are Neurosymbolic Reasoners
AAAI 2024
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
AAAI 2024
Customizing Language Model Responses with Contrastive In-Context Learning
AAAI 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
AAAI 2024
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
AAAI 2024
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting
AAAI 2024
Detecting and Preventing Hallucinations in Large Vision Language Models
AAAI 2024
Small Language Model Can Self-Correct
AAAI 2024
Can Large Language Models Understand Real-World Complex Instructions?
AAAI 2024
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
NAACL 2024
Towards Healthy AI: Large Language Models Need Therapists Too
NAACL 2024
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety
NAACL 2024
Holistic Evaluation of Large Language Models: Assessing Robustness, Accuracy, and Toxicity for Real-World Applications
NAACL 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
NAACL 2024
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
AAAI 2024
Chain-of-Thought Improves Text Generation with Citations in Large Language Models
AAAI 2024
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
AAAI 2024
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
AAAI 2024
Task Contamination: Language Models May Not Be Few-Shot Anymore
AAAI 2024
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