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Large Language Models

9067 directly classified papers

Papers per year

Papers

AICD Bench: A Challenging Benchmark for AI-Generated Code Detection EACL 2026
Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity EACL 2026
A Review of Incorporating Psychological Theories in LLMs EACL 2026
Tokenizer-Aware Cross-Lingual Adaptation of Decoder-Only LLMs through Embedding Relearning and Swapping EACL 2026
ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations EACL 2026
Redefining Retrieval Evaluation in the Era of LLMs EACL 2026
Training in Step-by-Step Formal Reasoning Improves Pronominal Reasoning in Language Models EACL 2026
Korean Canonical Legal Benchmark: Toward Knowledge-Independent Evaluation of LLMs’ Legal Reasoning Capabilities EACL 2026
Morpheme Matters: Morpheme-Based Subword Tokenization for Korean Language Models EACL 2026
Beyond Tokens: Concept-Level Training Objectives for LLMs EACL 2026
DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness EACL 2026
Pro-QuEST: A Prompt-chain based Quiz Engine for testing Specialized Technical Product Knowledge EACL 2026
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models EACL 2026
PromptLab: A Collaborative Platform for Prompt Engineering and Dataset Curation EACL 2026
EvalSense: A Framework for Domain-Specific LLM (Meta-)Evaluation EACL 2026
QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models EACL 2026
Beyond One-Step Distillation: Bridging the Capacity Gap in Small Language Models via Multi-Step Knowledge Transfer EACL 2026
A Benchmark and Evaluation of Automated Language of Study Extraction from Computational Linguistics Publications EACL 2026
Automatic Generation of a Compositional QA Benchmark for Geospatial Reasoning under Spatial and Entity Constraints EACL 2026
What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing EACL 2026
PersonaTrace: Synthesizing Realistic Digital Footprints with LLM Agents EACL 2026
Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks EACL 2026
ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMs EACL 2026
Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning? EACL 2026
Exploring Iterative Controllable Summarization with Large Language Models EACL 2026