Unlocking Multilingual Reasoning Capabilities of LLMs and LVLMs via Representation Engineering
Qi-Ming Li, Xiao-Cheng Feng, Yi-Xuan Ma et al.
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Self-Organizing Agent Teams Learn to Reason Together
Self-Organizing Agent Teams (SAT) are introduced, fixed teams of AI agents that learn reusable strategies from prior collaborations to organize roles, conversational phases, participation, and information flow, suggesting that organization itself can become an agent capability.
Aneesh Pappu, M. Suzgun, Yongchan Kwon et al.
· 1 citation
Review
Returns to intelligence: Worker and firm adaptation to advances in AI
Analyzing work patterns of nearly 200,000 software developers at 500 firms suggests benchmarks alone are insufficient for evaluating economic responses to AI progress, as new model capabilities reshape worker tasks and propagate unevenly across firm types.
Suproteem K. Sarkar, Luke Melas-Kyriazi, M. Agarwal et al.
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Jailbreaking Jailbreaks: A Proactive Defense for LLMs
P RO A CT represents an orthogonal defense strategy that serves as an additional guardrail to enhance LLM safety against the most effective attacks.
Wei-Liang Zhao, Daniel Ben-Levi, Jinjun Peng et al.
· 1 citation