Practical LLM-assisted Data-to-Text Generation Workshop 2024 @ INLG 2024
The 2nd Workshop on Practical LLM-assisted Data-to-Text Generation (Practical D2T 2024) will be held in conjunction with the 25th International Natural Language Generation Conference (INLG 2024). This workshop aims to bring together researchers working on data-to-text (D2T) systems that utilize large language models (LLMs). The workshop will feature a special track on neuro-symbolic approaches to D2T and a shared task on improving semantic accuracy in LLM-assisted D2T.
The workshop welcomes contributions on various topics, including the design, implementation, and evaluation of LLM-assisted D2T systems, cross-domain adaptation of LLMs for D2T, user perceptions and acceptance of LLM-generated text in D2T, bias, fairness, and red-teaming issues in LLM-assisted D2T systems, leveraging LLMs for D2T in low-resource languages and domains, error analysis and debugging techniques for LLM-assisted D2T, human-in-the-loop approaches for improving LLM-assisted D2T, and comparison between LLM-assisted D2T and traditional symbolic approaches.
For more information, please visit the official Practical D2T 2024 website.
Important dates:
- Evaluation script and data release for known domains (shared task) – 24 June
- Regular paper submission (main & special track, archival & non-archival) – 22 July
- Known domains system output submission & surprise domain data release – 29 July
- Surprise domain system outputs submission – 5 August
- System description submission (shared task) – 12 August
- Notification of acceptance (main, special track and shared task) – 19 August
- Camera-ready (main, special track and shared task) – 28 August
- Workshop – 23/24 September (to be announced)