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ACQ: A Deployed Two-Stage Framework for Automated Creative Quota Allocation in Large-Scale Online Advertising

Researchers have developed Automated Creatives Quota (ACQ), a framework for determining the optimal ...

Aug 24 🗳️ 0
AI

Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning

Researchers propose a new approach to scaling up the reasoning capabilities of large language models...

Aug 24 🗳️ 0
AI

Recognizing Artificial Minds: A Philosophical Defense of AI Cognition

The authors argue that sophisticated Large Language Models (LLMs) like ChatGPT are full-blown lingui...

Aug 24 🗳️ 0
AI

SEISMO: Explanation-Aware, Trajectory-Conditioned LLM Agents for Sample-Efficient Molecular Optimisation

Researchers have developed a new AI system called SEISMO that can optimize molecules for specific pr...

Aug 24 🗳️ 0
AI

Can LLMs Introspect? A Reality Check

Researchers argue that recent studies claiming large language models (LLMs) can ...

AI

GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents

Researchers have developed GRASP (Gated Regression-Aware Skill Proposer), a meth...

AI

Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight

Researchers have proposed a new approach to improving the performance of large l...

AI

Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence

Researchers have developed a framework for agentic artificial intelligence that ...

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