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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
Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
EMNLP 2024
Abstraction-of-Thought Makes Language Models Better Reasoners
EMNLP 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NIPS 2024
Sequence Reducible Holdout Loss for Language Model Pretraining
COLING 2024
Automatic Reconstruction of Ancient Chinese Pronunciations
EMNLP 2024
AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference
EMNLP 2024
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
EMNLP 2024
Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising
EMNLP 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
NIPS 2024
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
EMNLP 2024
CharacterGLM: Customizing Social Characters with Large Language Models
EMNLP 2024
Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results
COLING 2024
Sequence-to-Sequence Spanish Pre-trained Language Models
COLING 2024
TinyAgent: Function Calling at the Edge
EMNLP 2024
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain
EMNLP 2024
Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping
EMNLP 2024
Causal language modeling can elicit search and reasoning capabilities on logic puzzles
NIPS 2024
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu’s formula
ICML 2024
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
ACL 2024
Benchmarking LLaMA-3 on Arabic Language Generation Tasks
ACL 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference
NIPS 2024
Exploring intertextuality across the Homeric poems through language models
ACL 2024
Impact of Decoding Methods on Human Alignment of Conversational LLMs
ACL 2024
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
ACL 2024
MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy
ACL 2024
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