NYU DICE Lab
university
AI & ML interests
Data, Intelligence, and Computation in Engineering.
Recent Activity
Organization Card
The DICE (Data, Intelligence, and Computation in Engineering) Lab at NYU Tandon, led by Dr. Chinmay Hegde, currently focuses on theoretical and applied aspects of:
AI safety and reliability
Multimodal AI
AI for cybersecurity
AI for agriculture
AI for science
Distributed AI algorithms
Collections
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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
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nyu-dice-lab/meta-llama_Llama-3.1-70B-Instruct-jdgfct-LogicalCorrectness
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nyu-dice-lab/meta-llama_Llama-3.1-70B-Instruct-jdgfct-LogicalEfficiency
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nyu-dice-lab/nvidia_NVLM-D-72B-jdgfct-LogicalEfficiency
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models
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nyu-dice-lab/Qwen-2.5-Instruct-Mix-Verilog-Reasoning-GT-7B
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nyu-dice-lab/VeriThoughts-Reasoning-14B
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nyu-dice-lab/Qwen-2.5-Instruct-Unverified-Verilog-Reasoning-GT-7B
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13
nyu-dice-lab/VeriThoughts-Reasoning-7B
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430
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nyu-dice-lab/Qwen-2.5-Instruct-Unverified-Verilog-GT-7B
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nyu-dice-lab/VeriThoughts-Instruct-7B
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nyu-dice-lab/Qwen-2.5-Instruct-Verilog-Reasoning-7B
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nyu-dice-lab/Qwen-2.5-Instruct-Verilog-7B
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nyu-dice-lab/Qwen-2.5-Instruct-Multishot-First-Reasoning-7Bv2
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nyu-dice-lab/Mistral-Instruct-v0.3-Verilog-7B
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datasets
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nyu-dice-lab/sos-artifacts
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nyu-dice-lab/wavepulse-radio-raw-transcripts
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nyu-dice-lab/wildchat-50m-extended-results
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nyu-dice-lab/allenai_WildChat-1M-Full-Qwen_Qwen2.5-72B-Instruct-lc
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nyu-dice-lab/wavepulse-radio-summarized-transcripts
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nyu-dice-lab/neuralmagic_Llama-3.1-Nemotron-70B-Instruct-HF-FP8-dynamic-jdgfct-Harmlessness
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nyu-dice-lab/Nexusflow_Athene-70B-jdgfct-Harmlessness
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nyu-dice-lab/Qwen_Qwen2.5-72B-Instruct-jdgfct-Harmlessness
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nyu-dice-lab/Nexusflow_Athene-70B-jdgfct-Readability
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nyu-dice-lab/allenai_WildChat-1M-Full-neuralmagic_DeepSeek-Coder-V2-Instruct-FP8
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