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← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9,067 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
PromptWizard: Optimizing Prompts via Task-Aware, Feedback-Driven Self-Evolution
ACL 2025
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models
ACL 2025
Benchmarking Multi-National Value Alignment for Large Language Models
ACL 2025
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
ACL 2025
Debiasing Online Preference Learning via Preference Feature Preservation
ACL 2025
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
ACL 2025
When Large Language Models Meet Speech: A Survey on Integration Approaches
ACL 2025
LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
ACL 2025
MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP
ACL 2025
TRATES: Trait-Specific Rubric-Assisted Cross-Prompt Essay Scoring
ACL 2025
MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization
ACL 2025
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
ACL 2025
Reverse Preference Optimization for Complex Instruction Following
ACL 2025
Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers
ACL 2025
SkyLLM: Cross-LLM-APIs Federation for Cost-effective Query Processing
ACL 2025
Matina: A Culturally-Aligned Persian Language Model Using Multiple LoRA Experts
ACL 2025
Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning
ACL 2025
C²RBench: A Chinese Complex Reasoning Benchmark for Large Language Models
ACL 2025
Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models
ACL 2025
Diagnosing Failures in Large Language Models’ Answers: Integrating Error Attribution into Evaluation Framework
ACL 2025
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data
ACL 2025
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
ACL 2025
VideoRAG: Retrieval-Augmented Generation over Video Corpus
ACL 2025
A Survey of Uncertainty Estimation Methods on Large Language Models
ACL 2025
PEToolLLM: Towards Personalized Tool Learning in Large Language Models
ACL 2025
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