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← 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
Learning API Functionality from In-Context Demonstrations for Tool-based Agents
EMNLP 2025
ReviewEval: An Evaluation Framework for AI-Generated Reviews
EMNLP 2025
ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist Content
EMNLP 2025
From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse
EMNLP 2025
Personalized open world plan generation for safety-critical human centered autonomous systems: A case study on Artificial Pancreas
EMNLP 2025
Real-World Summarization: When Evaluation Reaches Its Limits
EMNLP 2025
Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
EMNLP 2025
Connecting Concept Layers and Rationales to Enhance Language Model Interpretability
EMNLP 2025
Towards Evaluation of Language Models with Skill Dimensions: A Case Study on Narrative Question Answering
EMNLP 2025
OneNRC@TSAR2025 Shared Task Small Models for Readability Controlled Text Simplification
EMNLP 2025
GRIPF at TSAR 2025 Shared Task Towards controlled CEFR level simplification with the help of inter-model interactions
EMNLP 2025
ITU NLP at TSAR 2025 Shared Task A Three-Stage Prompting Approach for CEFR-Oriented Text Simplification
EMNLP 2025
STARLING at TSAR 2025 Shared Task Leveraging Alternative Generations for Readability Level Adjustment in Text Simplification
EMNLP 2025
taskGen at TSAR 2025 Shared Task Exploring prompt strategies with linguistic knowledge
EMNLP 2025
Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training
EMNLP 2025
Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding
EMNLP 2025
Do Large Language Models Know When Not to Answer in Medical QA?
EMNLP 2025
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models
EMNLP 2025
Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios
EMNLP 2025
The Benefits of Being Uncertain: Perplexity as a Signal for Naturalness in Multilingual Machine Translation
EMNLP 2025
Asking a Language Model for Diverse Responses
EMNLP 2025
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
EMNLP 2025
HALLUCINOGEN: Benchmarking Hallucination in Implicit Reasoning within Large Vision Language Models
EMNLP 2025
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering
EMNLP 2025
Demystify Verbosity Compensation Behavior of Large Language Models
EMNLP 2025
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