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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
AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment
EMNLP 2025
MALLM: Multi-Agent Large Language Models Framework
EMNLP 2025
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
EMNLP 2025
TounsiBench: Benchmarking Large Language Models for Tunisian Arabic
EMNLP 2025
MPCG: Multi-Round Persona-Conditioned Generation for Modeling the Evolution of Misinformation with LLMs
EMNLP 2025
MoVa: Towards Generalizable Classification of Human Morals and Values
EMNLP 2025
Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models
EMNLP 2025
Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling
EMNLP 2025
Measuring scalar constructs in social science with LLMs
EMNLP 2025
All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning
EMNLP 2025
The Transfer Neurons Hypothesis: An Underlying Mechanism for Language Latent Space Transitions in Multilingual LLMs
EMNLP 2025
Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing
EMNLP 2025
Cacheback: Speculative Decoding With Nothing But Cache
EMNLP 2025
SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models
EMNLP 2025
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
EMNLP 2025
Enhancing RLHF with Human Gaze Modeling
EMNLP 2025
Accelerated Test-Time Scaling with Model-Free Speculative Sampling
EMNLP 2025
Can LLMs Extract Frame-Semantic Arguments?
EMNLP 2025
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
EMNLP 2025
Estimating LLM Consistency: A User Baseline vs Surrogate Metrics
EMNLP 2025
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
EMNLP 2025
Leveraging Knowledge Graph-Enhanced LLMs for Context-Aware Medical Consultation
EMNLP 2025
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
EMNLP 2025
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
EMNLP 2025
Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
EMNLP 2025
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