empirical study

44 papers

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large language model (12755) natural language processing (2027) neural network (6616) language model (4573) sequence-to-sequence model (552) text generation (2903) machine translation (2472) transfer learning (5442) benchmark evaluation (1539) code generation (699)

Papers

Don’t Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation EACL 2026

OAgents: An Empirical Study of Building Effective Agents EMNLP 2025

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study NAACL 2025

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis CVPR 2025

Personality-Guided Code Generation Using Large Language Models ACL 2025

Evolving Stances on Reproducibility: A Longitudinal Study of NLP and ML Researchers’ Views and Experience of Reproducibility EMNLP 2025

Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls EMNLP 2025

An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint EMNLP 2025

CLEAR: Can Language Models Really Understand Causal Graphs? EMNLP 2024

Do Text-to-Vis Benchmarks Test Real Use of Visualisations? EMNLP 2024

Working Memory Capacity of ChatGPT: An Empirical Study AAAI 2024

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024

An Empirical Study of Scaling Law for Scene Text Recognition CVPR 2024

Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks EMNLP 2024

Mind the Gap between the Application Track and the Real World ACL 2023

Are Sample-Efficient NLP Models More Robust? ACL 2023

NLP Reproducibility For All: Understanding Experiences of Beginners ACL 2023

Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning ACL 2023

Reproducibility in NLP: What Have We Learned from the Checklist? ACL 2023

Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue EMNLP 2023

Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NIPS 2022

ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models NAACL 2022

An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning EMNLP 2022

An Empirical Study on the Fairness of Pre-trained Word Embeddings NAACL 2022

Reproducibility in Computational Linguistics: Is Source Code Enough? EMNLP 2022