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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
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing
EMNLP 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
EMNLP 2024
Re-Reading Improves Reasoning in Large Language Models
EMNLP 2024
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators
EMNLP 2024
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training
EMNLP 2024
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
EMNLP 2024
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists
EMNLP 2024
LLM-based Code-Switched Text Generation for Grammatical Error Correction
EMNLP 2024
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models
EMNLP 2024
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities
EMNLP 2024
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
EMNLP 2024
One Thousand and One Pairs: A “novel” challenge for long-context language models
EMNLP 2024
Do LLMs learn a true syntactic universal?
EMNLP 2024
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
EMNLP 2024
Data Contamination Can Cross Language Barriers
EMNLP 2024
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
EMNLP 2024
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
EMNLP 2024
PepRec: Progressive Enhancement of Prompting for Recommendation
EMNLP 2024
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning
EMNLP 2024
Calibrating Language Models with Adaptive Temperature Scaling
EMNLP 2024
Dual-Space Knowledge Distillation for Large Language Models
EMNLP 2024
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
EMNLP 2024
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement
EMNLP 2024
A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression
EMNLP 2024
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models
EMNLP 2024
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