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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
SBU-NLP at SemEval-2025 Task 8: Self-Correction and Collaboration in LLMs for Tabular Question Answering
ACL 2025
TabaQA at SemEval-2025 Task 8: Column Augmented Generation for Question Answering over Tabular Data
ACL 2025
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA
ACL 2025
On the Path to Make Ukrainian a High-Resource Language
ACL 2025
Injecting Structured Knowledge into LLMs via Graph Neural Networks
ACL 2025
Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items
ACL 2025
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings
ACL 2025
Multi-Prompting Decoder Helps Better Language Understanding
ACL 2025
Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization
ACL 2025
MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset
ACL 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
Embracing Large Language Models in Traffic Flow Forecasting
ACL 2025
The Linguistic Connectivities Within Large Language Models
ACL 2025
Tokenization is Sensitive to Language Variation
ACL 2025
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition
ACL 2025
Debiasing Online Preference Learning via Preference Feature Preservation
ACL 2025
TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks
ACL 2025
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization
ACL 2025
Evaluating Robustness of LLMs to Typographical Noise in Yorùbá QA
ACL 2025
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues
ACL 2025
BJTU at BEA 2025 Shared Task: Task-Aware Prompt Tuning and Data Augmentation for Evaluating AI Math Tutors
ACL 2025
Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems
ACL 2025
Winning ClimateCheck: A Multi-Stage System with BM25, BGE-Reranker Ensembles, and LLM-based Analysis for Scientific Abstract Retrieval
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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