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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
Do Influence Functions Work on Large Language Models?
EMNLP 2025
TRUEBench: Can LLM Response Meet Real-world Constraints as Productivity Assistant?
EMNLP 2025
Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models
EMNLP 2025
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
EMNLP 2025
RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing
EMNLP 2025
Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
EMNLP 2025
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
EMNLP 2025
Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models
EMNLP 2025
Trust Me, I’m Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer
EMNLP 2025
Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents
EMNLP 2025
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs
EMNLP 2025
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
EMNLP 2025
ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations
EMNLP 2025
ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation
EMNLP 2025
The Price of Format: Diversity Collapse in LLMs
EMNLP 2025
Zipf’s and Heaps’ Laws for Tokens and LLM-generated Texts
EMNLP 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
EMNLP 2025
Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty?
EMNLP 2025
Teaching Language Models To Gather Information Proactively
EMNLP 2025
EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning
EMNLP 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
XRAG: Cross-lingual Retrieval-Augmented Generation
EMNLP 2025
MFTCXplain: A Multilingual Benchmark Dataset for Evaluating the Moral Reasoning of LLMs through Multi-hop Hate Speech Explanation
EMNLP 2025
Large Language Models for Multilingual Previously Fact-Checked Claim Detection
EMNLP 2025
Debating for Better Reasoning in Vision-Language Models
EMNLP 2025
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