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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
Planning for Success: Exploring LLM Long-term Planning Capabilities in Table Understanding
ACL 2025
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
ACL 2025
What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models
ACL 2025
Adapting Large Language Models for Movie Domain with Narrative Understanding Tasks
ACL 2025
From Stories to Statistics: Methodological Biases in LLM-Based Narrative Flow Quantification
ACL 2025
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review
ACL 2025
A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data
ACL 2025
BabyLM’s First Words: Word Segmentation as a Phonological Probing Task
ACL 2025
GCG-Based Artificial Languages for Evaluating Inductive Biases of Neural Language Models
ACL 2025
Human-likeness of LLMs in the Mental Lexicon
ACL 2025
Do large language models solve verbal analogies like children do?
ACL 2025
Automated Claim–Evidence Extraction for Political Discourse Analysis: A Large Language Model Approach to Rodong Sinmun Editorials
ACL 2025
Language Model Re-rankers are Fooled by Lexical Similarities
ACL 2025
Less Can be More: An Empirical Evaluation of Small and Large Language Models for Sentence-level Claim Detection
ACL 2025
RAG based Question Answering of Korean Laws and Precedents
ACL 2025
Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
ACL 2025
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
ACL 2025
The 2nd Automated Verification of Textual Claims (AVeriTeC) Shared Task: Open-weights, Reproducible and Efficient Systems
ACL 2025
OldJoe at AVeriTeC: In-context learning for fact-checking
ACL 2025
Graph-of-Thoughts for Fact-Checking with Large Language Models
ACL 2025
Field to Model: Pairing Community Data Collection with Scalable NLP through the LiFE Suite
ACL 2025
Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
ACL 2025
Introducing MARB — A Dataset for Studying the Social Dimensions of Reporting Bias in Language Models
ACL 2025
From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models
ACL 2025
Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language
ACL 2025
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