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Methodology
← Models
Deep Learning
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Models
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Large Language Models
2678 directly classified papers
Papers per year
2014: 1
2017: 2
2018: 1
2019: 13
2020: 17
2021: 26
2022: 105
2023: 314
2024: 931
2025: 1268
Papers
An Analysis of Scoring Methods for Reranking in Large Language Model Story Generation
NAACL 2025
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
NAACL 2025
Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?
NAACL 2025
Language-Specific Neurons Do Not Facilitate Cross-Lingual Transfer
NAACL 2025
Monte Carlo Sampling for Analyzing In-Context Examples
NAACL 2025
Does Training on Synthetic Data Make Models Less Robust?
NAACL 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods
NAACL 2025
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
NAACL 2025
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
NAACL 2025
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
NAACL 2025
Evaluating Design Choices in Verifiable Generation with Open-source Models
NAACL 2025
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
EMNLP 2025
The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
ACL 2025
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
EMNLP 2025
Does Biomedical Training Lead to Better Medical Performance?
ACL 2025
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models
EMNLP 2025
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
ICCV 2025
EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation
EMNLP 2025
SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities
ACL 2025
AMACE: Automatic Multi-Agent Chart Evolution for Iteratively Tailored Chart Generation
EMNLP 2025
VisNumBench: Evaluating Number Sense of Multimodal Large Language Models
ICCV 2025
RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations
EMNLP 2025
Modeling the One-to-Many Property in Open-Domain Dialogue with LLMs
ACL 2025
Understanding Subword Compositionality of Large Language Models
EMNLP 2025
Binary Classifier Optimization for Large Language Model Alignment
ACL 2025
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