PRJA achieves 83.6% average success injecting harmful content into LRM reasoning chains on five QA datasets without altering final answers.
and Mumuni, F
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DxPTA is a constraint-aware architecture search algorithm for photonic transformer accelerators that achieves up to 15.2x faster exploration than exhaustive search while meeting area, power, energy, and latency constraints for DeiT and BERT models.
Position paper claims multimodal LLMs can significantly advance scientific reasoning and proposes a four-stage roadmap plus challenges and suggestions.
citing papers explorer
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Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing
PRJA achieves 83.6% average success injecting harmful content into LRM reasoning chains on five QA datasets without altering final answers.
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DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators
DxPTA is a constraint-aware architecture search algorithm for photonic transformer accelerators that achieves up to 15.2x faster exploration than exhaustive search while meeting area, power, energy, and latency constraints for DeiT and BERT models.
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Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Position paper claims multimodal LLMs can significantly advance scientific reasoning and proposes a four-stage roadmap plus challenges and suggestions.