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Methodology
← Generation
Natural Language Processing
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Generation
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Language Modeling
1624 directly classified papers
Papers per year
2005: 1
2006: 1
2007: 3
2008: 4
2009: 2
2010: 3
2012: 4
2013: 5
2014: 4
2015: 4
2016: 17
2017: 51
2018: 86
2019: 122
2020: 140
2021: 179
2022: 174
2023: 213
2024: 293
2025: 271
2026: 47
Papers
Dynamic Task-Oriented Dialogue: A Comparative Study of Llama-2 and Bert in Slot Value Generation
EACL 2024
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale
ACL 2024
NevIR: Negation in Neural Information Retrieval
EACL 2024
Long-Context Language Modeling with Parallel Context Encoding
ACL 2024
Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method
EACL 2024
Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers
EACL 2024
Why Generate When You Can Discriminate? A Novel Technique for Text Classification using Language Models
EACL 2024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures
ACL 2024
PRODIS - a Speech Database and a Phoneme-based Language Model for the Study of Predictability Effects in Polish
COLING 2024
Answer is All You Need: Instruction-following Text Embedding via Answering the Question
ACL 2024
RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners
COLING 2024
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models
ACL 2024
Impact of Decoding Methods on Human Alignment of Conversational LLMs
ACL 2024
Benchmarking LLaMA-3 on Arabic Language Generation Tasks
ACL 2024
Aligning Large and Small Language Models via Chain-of-Thought Reasoning
EACL 2024
Exploring intertextuality across the Homeric poems through language models
ACL 2024
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
ACL 2024
An Interactive Toolkit for Approachable NLP
ACL 2024
Cheetah: Natural Language Generation for 517 African Languages
ACL 2024
GPT or BERT: why not both?
CONLL 2024
MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy
ACL 2024
What should Baby Models read? Exploring Sample-Efficient Data Composition on Model Performance
CONLL 2024
UltraSparseBERT: 99% Conditionally Sparse Language Modelling
ACL 2024
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling
ACL 2024
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
ACL 2024
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