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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified 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
POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs
EACL 2026
An Enhanced Training-Free Pipeline for Entity Recognition and Linking: A Low-Resource Case Study – 20-th Century Historical Medical Texts
EACL 2026
Mind Your Steps in Biomedical Named Entity Recognition: First Extract, Tag Afterwards
EACL 2026
Why Are We Lonely? Leveraging LLMs to Measure and Understand Loneliness in Caregivers and Non-caregivers
EACL 2026
Delayed Wh-Question Development in Children with Hearing Loss: Evidence for Morphosyntactic Vulnerability from Corpus-Based NLP and LLM Analyses
EACL 2026
Measuring Social Integration Through Participation: Categorizing Organizations and Leisure Activities in the Displaced Karelians Interview Archive using LLMs
EACL 2026
Catalogues as Data: Interpretable NLP Pipelines for Ottoman-Turkish Bibliographies
EACL 2026
Stylometric Approach to AI-generated Texts. An Analysis of Contemporary French-Language Literature
EACL 2026
Detecting reported speech as a token classification task: an application to Classical Latin?
EACL 2026
Too Long, Didn’t Model: Decomposing LLM Long Context Understanding With Novels
EACL 2026
AI Corpus Linguist: More than a Year of Experience
EACL 2026
Semantic Change Characterization with LLMs using Rhetorics
EACL 2026
NE-BERT: A Multilingual Language Model for Nine Northeast Indian Languages
EACL 2026
LLM-as-a-Judge for Low-Resource Languages: Adapting Ragas and Comparative Ranking for Romanian
EACL 2026
Qomhrá: A Bilingual Irish and English Large Language Model
EACL 2026
TeluguEval: A Comprehensive Benchmark for Evaluating LLM Capabilities in Telugu
EACL 2026
Cross-Lingual Emotion Recognition in Balinese Text using Multilingual-LLMs under Peer-Collaborations Settings
EACL 2026
"So, How Much Do LLMs Hallucinate on Low-Resource Languages?" A Quantitative and Qualitative Analysis
EACL 2026
Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation
EACL 2026
KyrText: A Multi-Domain Large-Scale Corpus for Kyrgyz Language
EACL 2026
Pretraining and Benchmarking Modern Encoders for Latvian
EACL 2026
On the Credibility of Evaluating LLMs using Survey Questions
EACL 2026
Vinclat: Evaluating Reasoning, Cognition and Culture in One Game
EACL 2026
Cross-Lingual Stability of LLM Judges Under Controlled Generation: Evidence from Finno-Ugric Languages
EACL 2026
HumMusQA: A Human-written Music Understanding QA Benchmark Dataset
EACL 2026
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