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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
Circuit Stability Characterizes Language Model Generalization
ACL 2025
Finance Language Model Evaluation (FLaME)
ACL 2025
SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation
ACL 2025
CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
ACL 2025
Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments
AAAI 2025
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models
ACL 2025
Co-Eval: Augmenting LLM-based Evaluation with Machine Metrics
EMNLP 2025
UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation
EMNLP 2025
Pre-trained Models Perform the Best When Token Distributions Follow Zipf’s Law
EMNLP 2025
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
ACL 2025
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
ACL 2025
(Towards) Scalable Reliable Automated Evaluation with Large Language Models
ACL 2025
MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents
ACL 2025
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
ACL 2025
HuGME: A benchmark system for evaluating Hungarian generative LLMs
ACL 2025
Code Execution as Grounded Supervision for LLM Reasoning
EMNLP 2025
Improving Model Factuality with Fine-grained Critique-based Evaluator
ACL 2025
When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models
ACL 2025
Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification
ACL 2025
SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs
ACL 2025
LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates
ACL 2025
Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs
ACL 2025
PrimeX: A Dataset of Worldview, Opinion, and Explanation
EMNLP 2025
Stepwise Informativeness Search for Improving LLM Reasoning
EMNLP 2025
Watermarking Large Language Models: An Unbiased and Low-risk Method
ACL 2025
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