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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
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
NAACL 2025
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues
ACL 2025
TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks
ACL 2025
A Practical Analysis of Human Alignment with *PO
NAACL 2025
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning
NAACL 2025
Tokenization is Sensitive to Language Variation
ACL 2025
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
ACL 2025
Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models
NAACL 2025
BJTU at BEA 2025 Shared Task: Task-Aware Prompt Tuning and Data Augmentation for Evaluating AI Math Tutors
ACL 2025
Debiasing Online Preference Learning via Preference Feature Preservation
ACL 2025
LITERA: An LLM Based Approach to Latin-to-English Translation
NAACL 2025
UCL-Bench: A Chinese User-Centric Legal Benchmark for Large Language Models
NAACL 2025
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages
NAACL 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks
ACL 2025
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews
ACL 2025
Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving
NAACL 2025
Embracing Large Language Models in Traffic Flow Forecasting
ACL 2025
MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset
ACL 2025
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
NAACL 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems
ACL 2025
Multi-Prompting Decoder Helps Better Language Understanding
ACL 2025
LLMs for Extremely Low-Resource Finno-Ugric Languages
NAACL 2025
Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization
ACL 2025
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
ICLR 2025
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