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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Language Modeling
1090 directly classified papers
Papers per year
2003: 2
2006: 3
2007: 5
2008: 2
2009: 2
2011: 1
2012: 3
2013: 4
2014: 2
2015: 1
2016: 10
2017: 25
2018: 33
2019: 52
2020: 93
2021: 125
2022: 232
2023: 156
2024: 139
2025: 199
2026: 1
Papers
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
EACL 2024
Chinese Spelling Corrector Is Just a Language Learner
ACL 2024
How Important is a Language Model for Low-resource ASR?
ACL 2024
LLMCrit: Teaching Large Language Models to Use Criteria
ACL 2024
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations
ACL 2024
Do Language Models Exhibit Human-like Structural Priming Effects?
ACL 2024
MULFE: A Multi-Level Benchmark for Free Text Model Editing
ACL 2024
The Queen of England is not England’s Queen: On the Lack of Factual Coherency in PLMs
EACL 2024
Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages
EACL 2024
CoELM: Construction-Enhanced Language Modeling
ACL 2024
Emergent Word Order Universals from Cognitively-Motivated Language Models
ACL 2024
Are BabyLMs Second Language Learners?
CONLL 2024
I am a Strange Dataset: Metalinguistic Tests for Language Models
ACL 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning
AAAI 2024
Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities
ACL 2024
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods
ACL 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
AAAI 2024
Translation-based Lexicalization Generation and Lexical Gap Detection: Application to Kinship Terms
ACL 2024
Putting Back the Stops: Integrating Syntax with Neural Topic Models
IJCAI 2024
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models
ACL 2024
Deidentifying a Norwegian Clinical Corpus - an Effort to Create a Privacy-preserving Norwegian Large Clinical Language Model
EACL 2024
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”?
ACL 2024
Topic Modeling for Short Texts with Large Language Models
ACL 2024
Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama
EACL 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
NIPS 2024
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