Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders
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2503.03601
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Feature-Level Insights into Artificial Text Detection with Sparse
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🔥MedAgentBench Amazing Work🚀
Just explored #MedAgentBench from @Yale researchers and it's mind-blowing! They've created a cutting-edge benchmark that finally exposes the true capabilities of LLMs in complex medical reasoning.
⚡ Key discoveries:
DeepSeek R1 & OpenAI O3 dominate clinical reasoning tasks
Agent-based frameworks deliver exceptional performance-cost balance
Open-source alternatives are closing the gap at fraction of the cost
This work shatters previous benchmarks that failed to challenge today's advanced models.
The future of medical AI is here: https://github.com/gersteinlab/medagents-benchmark
#MedicalAI #MachineLearning #AIinHealthcare 🔥
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MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for
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upvoted
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🔥MedAgentBench Amazing Work🚀
Just explored #MedAgentBench from @Yale researchers and it's mind-blowing! They've created a cutting-edge benchmark that finally exposes the true capabilities of LLMs in complex medical reasoning.
⚡ Key discoveries:
DeepSeek R1 & OpenAI O3 dominate clinical reasoning tasks
Agent-based frameworks deliver exceptional performance-cost balance
Open-source alternatives are closing the gap at fraction of the cost
This work shatters previous benchmarks that failed to challenge today's advanced models.
The future of medical AI is here: https://github.com/gersteinlab/medagents-benchmark
#MedicalAI #MachineLearning #AIinHealthcare 🔥
Just explored #MedAgentBench from @Yale researchers and it's mind-blowing! They've created a cutting-edge benchmark that finally exposes the true capabilities of LLMs in complex medical reasoning.
⚡ Key discoveries:
DeepSeek R1 & OpenAI O3 dominate clinical reasoning tasks
Agent-based frameworks deliver exceptional performance-cost balance
Open-source alternatives are closing the gap at fraction of the cost
This work shatters previous benchmarks that failed to challenge today's advanced models.
The future of medical AI is here: https://github.com/gersteinlab/medagents-benchmark
#MedicalAI #MachineLearning #AIinHealthcare 🔥
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MinorBench: A hand-built benchmark for content-based risks for children
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2503.10242
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MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
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2503.07459
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14
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FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation
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2503.06680
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VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering
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2503.06492
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VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering
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2503.06492
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