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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
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
ACL 2025
Maximizing the Effectiveness of Larger BERT Models for Compression
ACL 2025
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
ACL 2025
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
ACL 2025
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
ACL 2025
Disentangling Language and Culture for Evaluating Multilingual Large Language Models
ACL 2025
Diversity-oriented Data Augmentation with Large Language Models
ACL 2025
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
ACL 2025
LESA: Learnable LLM Layer Scaling-Up
ACL 2025
MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
ACL 2025
TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages
ACL 2025
Towards Harmonized Uncertainty Estimation for Large Language Models
ACL 2025
VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
ACL 2025
Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
ACL 2025
MPO: Multilingual Safety Alignment via Reward Gap Optimization
ACL 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
ACL 2025
Enhancing Machine Translation with Self-Supervised Preference Data
ACL 2025
HalluLens: LLM Hallucination Benchmark
ACL 2025
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
ACL 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
ACL 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis
ACL 2025
Can Language Models Replace Programmers for Coding? REPOCOD Says ‘Not Yet’
ACL 2025
WAFFLE: Fine-tuning Multi-Modal Model for Automated Front-End Development
ACL 2025
Math Neurosurgery: Isolating Language Models’ Math Reasoning Abilities Using Only Forward Passes
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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