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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
T-REG: Preference Optimization with Token-Level Reward Regularization
ACL 2025
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain
EMNLP 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning
ACL 2025
PSET: a Phonetics-Semantics Evaluation Testbed
EMNLP 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
ACL 2025
Automated Clinical Data Extraction with Knowledge Conditioned LLMs
COLING 2025
Mixture of Small and Large Models for Chinese Spelling Check
ACL 2025
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
EMNLP 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG
ACL 2025
ToneCraft: Cantonese Lyrics Generation with Harmony of Tones and Pitches
EMNLP 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
ACL 2025
DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition
EMNLP 2025
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
ACL 2025
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?
COLING 2025
Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models
ACL 2025
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
EMNLP 2025
VISA: Retrieval Augmented Generation with Visual Source Attribution
ACL 2025
DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search
EMNLP 2025
Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models
ACL 2025
Improving Chemical Understanding of LLMs via SMILES Parsing
EMNLP 2025
Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing
ACL 2025
Enhancing Large Language Models for Scientific Multimodal Summarization with Multimodal Output
COLING 2025
LETS-C: Leveraging Text Embedding for Time Series Classification
ACL 2025
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
EMNLP 2025
More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning
EMNLP 2025
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