Overview
At a Glance
Why submit?
- Reach a multidisciplinary audience spanning NLP, ML, and IR communities.
- Choose between direct submission and an ARR commitment fast track.
- Publish archival proceedings papers or present non-archival work for community discussion.
- Showcase new benchmarks, datasets, systems, and lessons learned — including negative results.
Who should submit?
- Students, researchers, and practitioners in NLP, IR, and ML.
- Work on retrieval-augmented generation, knowledge grounding, factuality, and hallucination.
- Efficient training, adaptation, and inference methods for grounded LLMs.
- Evaluation frameworks and benchmarks for grounding and faithfulness.
Workshop format
- Full-day workshop with invited keynote talks.
- Panel discussion on open challenges in grounding.
- Contributed oral presentations and poster session.
- Student mentoring and networking session.