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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
AICD Bench: A Challenging Benchmark for AI-Generated Code Detection
EACL 2026
H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs
EACL 2026
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation
EACL 2026
Do Large Language Models Understand Double Mismatches? Evidence from Farsi
EACL 2026
Tokenizer-Aware Cross-Lingual Adaptation of Decoder-Only LLMs through Embedding Relearning and Swapping
EACL 2026
RoZO: Geometry-Aware Zeroth-Order Fine-Tuning on Low-Rank Adapters for Black-Box Large Language Models
EACL 2026
Redefining Retrieval Evaluation in the Era of LLMs
EACL 2026
Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
EACL 2026
Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties
EACL 2026
Breaking the Illusion of Reasoning in Polish LLMs: Quality over Quantity of Thought
EACL 2026
Extending Audio Context for Long-Form Understanding in Large Audio-Language Models
EACL 2026
Evaluating Cost-Efficiency of LLMs in a RAG Setup on Polish Wikipedia: Quality vs. Energy Consumption
EACL 2026
QFrBLiMP: a Quebec-French Benchmark of Linguistic Minimal Pairs
EACL 2026
Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning
EACL 2026
GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection
EACL 2026
A Regex Minimization Benchmark: A PSPACE-Complete Challenge for Language Models
EACL 2026
Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
EACL 2026
Rethinking Open-world Prompt Tuning: A Systematic Framework for Evaluation and Optimization
AAAI 2026
LaCoMSA: Language-Consistency Multilingual Self-Alignment with Latent Representation Rewarding
EACL 2026
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
EACL 2026
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
EACL 2026
START: Spatial and Textual Learning for Chart Understanding
WACV 2026
UniToolBench: A Benchmark for Tool-Augmented LLMs in Cross-Domain, Universal Task Automation
EACL 2026
Argument Component Segmentation with Fine-Tuned Large Language Models
EACL 2026
Current state of LLMs for Arabic dialectal machine translation
EACL 2026
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