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← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9,067 papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
TOWER: Tree Organized Weighting for Evaluating Complex Instructions
EMNLP 2024
QEFT: Quantization for Efficient Fine-Tuning of LLMs
EMNLP 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
EMNLP 2024
TextLap: Customizing Language Models for Text-to-Layout Planning
EMNLP 2024
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
EMNLP 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
EMNLP 2024
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
EMNLP 2024
Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data
EMNLP 2024
From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression
EMNLP 2024
LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation
EMNLP 2024
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
EMNLP 2024
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
EMNLP 2024
CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models
EMNLP 2024
AXCEL: Automated eXplainable Consistency Evaluation using LLMs
EMNLP 2024
Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
EMNLP 2024
Self-training Large Language Models through Knowledge Detection
EMNLP 2024
VE-KD: Vocabulary-Expansion Knowledge-Distillation for Training Smaller Domain-Specific Language Models
EMNLP 2024
Re-examining Sexism and Misogyny Classification with Annotator Attitudes
EMNLP 2024
When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
EMNLP 2024
Are Large Language Models Consistent over Value-laden Questions?
EMNLP 2024
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors
EMNLP 2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
EMNLP 2024
Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation
EMNLP 2024
Large Language Models Know What To Say But Not When To Speak
EMNLP 2024
CoCoHD: Congress Committee Hearing Dataset
EMNLP 2024
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