Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios.
Yilun ZhaoHaowei ZhangShengyun SiLinyong NanXiangru TangArman CohanPublished in: EMNLP (Industry Track) (2023)
Keyphrases
- language model
- information seeking
- information retrieval
- text generation
- language modeling
- natural language generation
- search tasks
- n gram
- query expansion
- retrieval model
- document retrieval
- language modelling
- probabilistic model
- test collection
- document ranking
- statistical language models
- smoothing methods
- information retrieval systems
- information resources
- search behavior
- relevance assessments
- vector space model
- natural language
- language models for information retrieval
- retrieval effectiveness
- query terms
- information extraction
- relevance model
- database
- document collections
- knowledge representation
- statistical language modeling
- data mining