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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
Harnessing GPT to Study Second Language Learner Essays: Can We Use Perplexity to Determine Linguistic Competence?
NAACL 2024
Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation
NAACL 2024
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
NIPS 2024
L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text?
NAACL 2024
CharacterGLM: Customizing Social Characters with Large Language Models
EMNLP 2024
RASU: Retrieval Augmented Speech Understanding through Generative Modeling
INTERSPEECH 2024
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
NIPS 2024
Virtual Personas for Language Models via an Anthology of Backstories
EMNLP 2024
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text
NIPS 2024
BLSP-Emo: Towards Empathetic Large Speech-Language Models
EMNLP 2024
Local Contrastive Editing of Gender Stereotypes
EMNLP 2024
MedMT5: An Open-Source Multilingual Text-to-Text LLM for the Medical Domain
COLING 2024
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning
COLING 2024
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
NAACL 2024
Towards a theory of how the structure of language is acquired by deep neural networks
NIPS 2024
A Transformer with Stack Attention
NAACL 2024
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
EMNLP 2024
On the In-context Generation of Language Models
EMNLP 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
NIPS 2024
Can Transformers Learn n-gram Language Models?
EMNLP 2024
A Thorough Examination of Decoding Methods in the Era of LLMs
EMNLP 2024
On the Inductive Bias of Stacking Towards Improving Reasoning
NIPS 2024
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
EMNLP 2024
Is Child-Directed Speech Effective Training Data for Language Models?
EMNLP 2024
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal
EMNLP 2024
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