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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
OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages
EMNLP 2025
PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process
EMNLP 2025
Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations
EMNLP 2025
seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs
EMNLP 2025
SATBench: Benchmarking LLMs’ Logical Reasoning via Automated Puzzle Generation from SAT Formulas
EMNLP 2025
EquiBench: Benchmarking Large Language Models’ Reasoning about Program Semantics via Equivalence Checking
EMNLP 2025
MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing
EMNLP 2025
Do Large Language Models Understand Word Senses?
EMNLP 2025
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
EMNLP 2025
Personalized LLM Decoding via Contrasting Personal Preference
EMNLP 2025
MPCG: Multi-Round Persona-Conditioned Generation for Modeling the Evolution of Misinformation with LLMs
EMNLP 2025
LiteraryQA: Towards Effective Evaluation of Long-document Narrative QA
EMNLP 2025
Multi-LMentry: Can Multilingual LLMs Solve Elementary Tasks Across Languages?
EMNLP 2025
LoCt-Instruct: An Automatic Pipeline for Constructing Datasets of Logical Continuous Instructions
EMNLP 2025
EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs
EMNLP 2025
NitiBench: Benchmarking LLM Frameworks on Thai Legal Question Answering Capabilities
EMNLP 2025
From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors
EMNLP 2025
Conflicting Needles in a Haystack: How LLMs behave when faced with contradictory information
EMNLP 2025
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction
EMNLP 2025
Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
EMNLP 2025
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition
EMNLP 2025
Exploring Large Language Models for Detecting Mental Disorders
EMNLP 2025
Efficient Real-time Refinement of Language Model Text Generation
EMNLP 2025
AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts
EMNLP 2025
TounsiBench: Benchmarking Large Language Models for Tunisian Arabic
EMNLP 2025
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