LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.
Peng XuWenqi ShaoKaipeng ZhangPeng GaoShuo LiuMeng LeiFanqing MengSiyuan HuangYu QiaoPing LuoPublished in: CoRR (2023)
Keyphrases
- language model
- comprehensive evaluation
- language modeling
- document retrieval
- systematic evaluation
- n gram
- retrieval model
- probabilistic model
- information retrieval
- context sensitive
- speech recognition
- query expansion
- language modelling
- statistical language models
- ad hoc information retrieval
- language models for information retrieval
- smoothing methods
- vector space model
- test collection
- document ranking
- translation model
- pseudo relevance feedback
- word error rate
- query specific
- query terms
- document length
- statistical language modeling
- question answering