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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
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics
EMNLP 2023
CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling
EMNLP 2023
CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-Training
ACL 2023
Explaining Data Patterns in Natural Language with Language Models
EMNLP 2023
Bidirectional Attention as a Mixture of Continuous Word Experts
UAI 2023
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation
ACL 2023
Performance Implications of Using Unrepresentative Corpora in Arabic Natural Language Processing
EMNLP 2023
Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM
EMNLP 2023
RWKV: Reinventing RNNs for the Transformer Era
EMNLP 2023
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems
EMNLP 2023
Semantic Decomposition of Question and SQL for Text-to-SQL Parsing
EMNLP 2023
Uniform Complexity for Text Generation
EMNLP 2023
Learning Multi-Step Reasoning by Solving Arithmetic Tasks
ACL 2023
PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation
EMNLP 2023
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
EMNLP 2023
Should you marginalize over possible tokenizations?
ACL 2023
On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining
CONLL 2023
Chain-of-Thought Reasoning in Tabular Language Models
EMNLP 2023
Humans and language models diverge when predicting repeating text
CONLL 2023
Demystifying Prompts in Language Models via Perplexity Estimation
EMNLP 2023
Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models
ACL 2023
Generating Text from Language Models
ACL 2023
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
EMNLP 2023
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates
EMNLP 2023
Measuring bias in Instruction-Following models with P-AT
EMNLP 2023
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