\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrr}
\toprule
Model/adapter & Mean win rate & NaturalQuestions (closed-book) - F1 (Robustness) & OpenbookQA - EM (Robustness) & MMLU - EM (Robustness) \\
\midrule
Falcon (40B) & 0.3727969348659004 & 0.39238346766141513 & 0.662 & 0.5069122807017543 \\
Falcon (7B) & 0.056704980842911874 & 0.28519479870983677 & 0.26 & 0.28814035087719303 \\
Llama 2 (13B) & 0.29310344827586204 & 0.3706060978348202 & 0.634 & 0.5054035087719299 \\
Llama 2 (70B) & 0.6666666666666666 & 0.4595602930170799 & 0.838 & 0.5804561403508772 \\
Llama 2 (7B) & 0.18007662835249041 & 0.33263163753268066 & 0.544 & 0.42491228070175435 \\
LLaMA (65B) & 0.5647509578544061 & 0.43256542520883445 & 0.754 & 0.5837192982456141 \\
Mistral v0.1 (7B) & 0.4149425287356322 & 0.36699189732791715 & 0.776 & 0.5835087719298246 \\
Mixtral (8x7B 32K seqlen) & 0.7413793103448276 & 0.42725306310658473 & 0.868 & 0.6490526315789473 \\
Yi (34B) & 0.8881226053639847 & 0.4434678831574275 & 0.92 & 0.6495438596491228 \\
Yi (6B) & 0.33524904214559387 & 0.30995982967860286 & 0.8 & 0.5301754385964912 \\
Jurassic-2 Jumbo (178B) & 0.32720306513409964 & 0.38533436458666126 & 0.688 & 0.48266666666666663 \\
Jurassic-2 Grande (17B) & 0.2367816091954023 & 0.34996616858056556 & 0.614 & 0.4709122807017544 \\
Luminous Base (13B) & 0.04482758620689655 & 0.1972226511424054 & 0.286 & 0.2433684210526316 \\
Luminous Extended (30B) & 0.045210727969348656 & 0.2529234321406317 & 0.272 & 0.24838596491228068 \\
Luminous Supreme (70B) & 0.10153256704980843 & 0.2992475548820738 & 0.284 & 0.31642105263157894 \\
Anthropic Claude v1.3 & 0.7406130268199234 & 0.40885082169503945 & 0.908 & 0.6310526315789474 \\
Anthropic Claude Instant 1.2 & 0.5252873563218391 & 0.34322234970064514 & 0.844 & 0.6308070175438597 \\
Anthropic Claude 2.0 & 0.7195402298850575 & 0.4278073763812108 & 0.862 & 0.639298245614035 \\
Anthropic Claude 2.1 & 0.6379310344827587 & 0.37511663259487643 & 0.872 & 0.6432982456140351 \\
Cohere Command & 0.4057471264367816 & 0.39111384104746405 & 0.774 & 0.525157894736842 \\
Cohere Command Light & 0.08888888888888889 & 0.19510428131457905 & 0.398 & 0.3856491228070175 \\
Gemini & 0.6833333333333333 &  & 0.9 & 0.5976693848786871 \\
PaLM-2 (Bison) & 0.6053639846743295 & 0.38995180850624384 & 0.878 & 0.6075087719298246 \\
PaLM-2 (Unicorn) & 0.9099616858237548 & 0.4348175818600496 & 0.938 & 0.7018245614035088 \\
GPT-3.5 (text-davinci-003) & 0.5298850574712644 & 0.4134401941760032 & 0.828 & 0.5547368421052632 \\
GPT-3.5 (text-davinci-002) & 0.4842911877394636 & 0.39413936756218626 & 0.796 & 0.5682456140350877 \\
GPT-3.5 Turbo (0613) & 0.4804597701149425 & 0.334590535421788 & 0.838 & 0.614 \\
GPT-4 Turbo (1106 preview) & 0.9095785440613027 & 0.43470596512187554 & 0.95 & 0.6990877192982456 \\
GPT-4 (0613) & 0.9885057471264368 & 0.4568767355321626 & 0.96 & 0.734842105263158 \\
Palmyra X V2 (33B) & 0.7421455938697318 & 0.42810099574571514 & 0.878 & 0.6212631578947369 \\
Palmyra X V3 (72B) & 0.8402298850574713 & 0.40719623137956623 & 0.938 & 0.7018245614035088 \\
\bottomrule
\end{tabular}}
\caption{Results for robustness (targeted_evaluations)}
\label{fig:robustness (targeted_evaluations)}
\end{table*}