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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning
ACL 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
ACL 2025
From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment
ACL 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
ACL 2025
How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs
ACL 2025
Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs
ACL 2025
Structure-aware Domain Knowledge Injection for Large Language Models
ACL 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
ACL 2025
Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction
ACL 2025
Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Events
ACL 2025
Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models
ACL 2025
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora
ACL 2025
Retrofitting Large Language Models with Dynamic Tokenization
ACL 2025
MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
ACL 2025
Basic Reading Distillation
ACL 2025
SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation
ACL 2025
M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark
ACL 2025
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models
ACL 2025
Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories
ACL 2025
Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling
ACL 2025
Serial Lifelong Editing via Mixture of Knowledge Experts
ACL 2025
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
ACL 2025
HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims
ACL 2025
SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science
ACL 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025
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