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cs.CL2023★ 1 cited
The ICL Consistency Test
Lucas Weber, Elia Bruni, Dieuwke Hupkes
Just like the previous generation of task-tuned models, large language models (LLMs) that are adapted to tasks via prompt-based methods like in-context-learning (ICL) perform well…
cs.CL2023
GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models
Serwan Jassim, Mario Holubar, Annika Richter +3
This paper presents GRASP, a novel benchmark to evaluate the language grounding and physical understanding capabilities of video-based multimodal large language models (LLMs). This…
cs.CL2023
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning
Lucas Weber, Elia Bruni, Dieuwke Hupkes
Finding the best way of adapting pre-trained language models to a task is a big challenge in current NLP. Just like the previous generation of task-tuned models (TT), models that a…