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Data, Intelligence, and Computation in Engineering.
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All model responses associated with the WildChat-50m paper.
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nyu-dice-lab/allenai_WildChat-1M-Full-nvidia_NVLM-D-72B
Viewer • Updated • 987k • 13 -
nyu-dice-lab/allenai_WildChat-1M-Full-neuralmagic_Meta-Llama-3.1-405B-Instruct-FP8-dynamic
Viewer • Updated • 250k • 9 -
nyu-dice-lab/allenai_WildChat-1M-Full-neuralmagic_DeepSeek-Coder-V2-Instruct-FP8
Viewer • Updated • 300k • 4 -
nyu-dice-lab/allenai_WildChat-1M-Full-meta-llama_Llama-3.3-70B-Instruct
Viewer • Updated • 987k • 5 • 1
Radio Livestreams collected using WavePulse. More details at wave-pulse.io
Dataset Splits of ImageNet++, a massive superset of ImageNet-1k.
Judgments of WildChat-50m models and DPO datasets derived from those judgments.
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nyu-dice-lab/nvidia_NVLM-D-72B-jdgfct-LogicalCorrectness
Viewer • Updated • 984k • 7 -
nyu-dice-lab/meta-llama_Llama-3.1-70B-Instruct-jdgfct-LogicalCorrectness
Viewer • Updated • 983k • 5 -
nyu-dice-lab/meta-llama_Llama-3.1-70B-Instruct-jdgfct-LogicalEfficiency
Viewer • Updated • 983k • 6 -
nyu-dice-lab/nvidia_NVLM-D-72B-jdgfct-LogicalEfficiency
Viewer • Updated • 984k • 9
All model checkpoints associated with the WildChat-50m paper, including Re-Wild, DPO, and TULU3.
Baselines trained on various splits of ImageNet++ for evaluating SELECT benchmark
Judgments of WildChat-50m models and DPO datasets derived from those judgments.
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nyu-dice-lab/nvidia_NVLM-D-72B-jdgfct-LogicalCorrectness
Viewer • Updated • 984k • 7 -
nyu-dice-lab/meta-llama_Llama-3.1-70B-Instruct-jdgfct-LogicalCorrectness
Viewer • Updated • 983k • 5 -
nyu-dice-lab/meta-llama_Llama-3.1-70B-Instruct-jdgfct-LogicalEfficiency
Viewer • Updated • 983k • 6 -
nyu-dice-lab/nvidia_NVLM-D-72B-jdgfct-LogicalEfficiency
Viewer • Updated • 984k • 9
All model responses associated with the WildChat-50m paper.
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nyu-dice-lab/allenai_WildChat-1M-Full-nvidia_NVLM-D-72B
Viewer • Updated • 987k • 13 -
nyu-dice-lab/allenai_WildChat-1M-Full-neuralmagic_Meta-Llama-3.1-405B-Instruct-FP8-dynamic
Viewer • Updated • 250k • 9 -
nyu-dice-lab/allenai_WildChat-1M-Full-neuralmagic_DeepSeek-Coder-V2-Instruct-FP8
Viewer • Updated • 300k • 4 -
nyu-dice-lab/allenai_WildChat-1M-Full-meta-llama_Llama-3.3-70B-Instruct
Viewer • Updated • 987k • 5 • 1
All model checkpoints associated with the WildChat-50m paper, including Re-Wild, DPO, and TULU3.
Radio Livestreams collected using WavePulse. More details at wave-pulse.io
Dataset Splits of ImageNet++, a massive superset of ImageNet-1k.
Baselines trained on various splits of ImageNet++ for evaluating SELECT benchmark