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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
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning
COLING 2024
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
EMNLP 2024
Generation with Dynamic Vocabulary
EMNLP 2024
NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying Commonsense
SEMEVAL 2024
Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection
EMNLP 2024
Training Compute-Optimal Protein Language Models
NIPS 2024
Predict the Next Word: <Humans exhibit uncertainty in this task and language models _____>
EACL 2024
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
NIPS 2024
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
EMNLP 2024
Language models and brains align due to more than next-word prediction and word-level information
EMNLP 2024
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning
NAACL 2024
Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method
EACL 2024
NevIR: Negation in Neural Information Retrieval
EACL 2024
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
NAACL 2024
What should Baby Models read? Exploring Sample-Efficient Data Composition on Model Performance
CONLL 2024
On the Proper Treatment of Tokenization in Psycholinguistics
EMNLP 2024
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
NIPS 2024
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
NIPS 2024
Semformer: Transformer Language Models with Semantic Planning
EMNLP 2024
Emergent Abilities in Reduced-Scale Generative Language Models
NAACL 2024
BLSP-Emo: Towards Empathetic Large Speech-Language Models
EMNLP 2024
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
EMNLP 2024
Perplexing Canon: A study on GPT-based perplexity of canonical and non-canonical literary works
EACL 2024
GroundHog: Dialogue Generation using Multi-Grained Linguistic Input
EACL 2024
RASU: Retrieval Augmented Speech Understanding through Generative Modeling
INTERSPEECH 2024
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