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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
Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates
EMNLP 2024
Multi-Cultural Norm Base: Frame-based Norm Discovery in Multi-Cultural Settings
EMNLP 2024
An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models
EMNLP 2024
On Functional Competence of LLMs for Linguistic Disambiguation
EMNLP 2024
A Novel Instruction Tuning Method for Vietnamese Mathematical Reasoning using Trainable Open-Source Large Language Models
EMNLP 2024
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
EMNLP 2024
Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text
EMNLP 2024
Translating Across Cultures: LLMs for Intralingual Cultural Adaptation
EMNLP 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
EMNLP 2024
Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution
EMNLP 2024
L3Masking: Multi-task Fine-tuning for Language Models by Leveraging Lessons Learned from Vanilla Models
EMNLP 2024
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
EMNLP 2024
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
EMNLP 2024
Evaluating and Training Long-Context Large Language Models for Question Answering on Scientific Papers
EMNLP 2024
What Kind of Sourcery is This? Evaluating GPT-4’s Performance on Linking Scientific Fact to Citations
EMNLP 2024
Adapting LLM Predictions in In-Context Learning with Data Priors
EMNLP 2024
RAG-Fusion Based Information Retrieval for Fact-Checking
EMNLP 2024
Dunamu-ml’s Submissions on AVERITEC Shared Task
EMNLP 2024
FZI-WIM at AVeriTeC Shared Task: Real-World Fact-Checking with Question Answering
EMNLP 2024
Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking
EMNLP 2024
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
EMNLP 2024
InFact: A Strong Baseline for Automated Fact-Checking
EMNLP 2024
HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims
EMNLP 2024
From Language to Pixels: Task Recognition and Task Learning in LLMs
EMNLP 2024
Automated test generation to evaluate tool-augmented LLMs as conversational AI agents
EMNLP 2024
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