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Methodology
← Models
Deep Learning
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Models
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Large Language Models
2678 directly classified papers
Papers per year
2014: 1
2017: 2
2018: 1
2019: 13
2020: 17
2021: 26
2022: 105
2023: 314
2024: 931
2025: 1268
Papers
Semformer: Transformer Language Models with Semantic Planning
EMNLP 2024
DocCGen: Document-based Controlled Code Generation
EMNLP 2024
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization
EMNLP 2024
Collective Critics for Creative Story Generation
EMNLP 2024
Model-based Preference Optimization in Abstractive Summarization without Human Feedback
EMNLP 2024
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
EMNLP 2024
Sequential API Function Calling Using GraphQL Schema
EMNLP 2024
The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models
EMNLP 2024
Evaluating Diversity in Automatic Poetry Generation
EMNLP 2024
Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic Translation
EMNLP 2024
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
EMNLP 2024
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
EMNLP 2024
Back to School: Translation Using Grammar Books
EMNLP 2024
Towards Aligning Language Models with Textual Feedback
EMNLP 2024
AMPO: Automatic Multi-Branched Prompt Optimization
EMNLP 2024
Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models
EMNLP 2024
“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations
EMNLP 2024
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
EMNLP 2024
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
EMNLP 2024
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding
EMNLP 2024
Rethinking the Role of Proxy Rewards in Language Model Alignment
EMNLP 2024
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
EMNLP 2024
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk
EMNLP 2024
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
EMNLP 2024
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing
EMNLP 2024
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