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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
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
ACL 2025
ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution
ACL 2025
Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge
ACL 2025
Language Fusion for Parameter-Efficient Cross-lingual Transfer
ACL 2025
AAD-LLM: Neural Attention-Driven Auditory Scene Understanding
ACL 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
ACL 2025
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning
ACL 2025
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
ACL 2025
Scaling Laws and Efficient Inference for Ternary Language Models
ACL 2025
Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
ACL 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
ACL 2025
T-REG: Preference Optimization with Token-Level Reward Regularization
ACL 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning
ACL 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
ACL 2025
Mixture of Small and Large Models for Chinese Spelling Check
ACL 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG
ACL 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
ACL 2025
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
ACL 2025
Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models
ACL 2025
VISA: Retrieval Augmented Generation with Visual Source Attribution
ACL 2025
Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models
ACL 2025
Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing
ACL 2025
LETS-C: Leveraging Text Embedding for Time Series Classification
ACL 2025
Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications
ACL 2025
Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
ACL 2025
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