AI1 min read
LLMs lack reasoning, need new architecture
An AlphaGo researcher argues current language models do not reason and proposes a new system design.
From MIT Technology Review AI
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AI1 min read
An AlphaGo researcher argues current language models do not reason and proposes a new system design.
From MIT Technology Review AI
LLMs2 min read
Researchers propose MIMIC, a framework using executable code to synthesize high-fidelity reasoning data. Training on this dataset improves accuracy across general reasoning and mathematical benchmarks.
From arXiv cs.CL
Photo: Yan Krukau
arXiv:2609.13152v1 Announce Type: new Abstract: Large language models (LLMs) perform strongly on static science benchmarks, yet their ability to reason about the physical world through active experimentation remains poorly understood. We...
From arXiv cs.CL
Research2 min read
Research evaluated six LLMs across draft-verify-revise pipelines to assess their ability to resolve deictic ambiguity. Results showed that GPT-5.2 and Gemini 3 Pro achieved near-perfect accuracy with sufficient reasoning effort, highlighting the importance of context management in these systems.
From arXiv cs.AI
LLMs1 min read
CARRE is a three-stage framework combining action retrieval, counterfactual scoring, and LLM reasoning for churn prescription. It achieves significant risk reduction compared to baseline methods and demonstrates improved explanation quality through prompt refinement.
From arXiv cs.CL
Research1 min read
La Agente 'Optima' is an agentic framework that manages Bayesian optimization campaigns across systems, maintaining a persistent state and separating reasoning from execution, improving automation and auditability.
From arXiv cs.AI
Research1 min read
PerfReasoning assesses LLMs as performance reasoners and code generators, with models achieving up to 90% accuracy on reasoning tasks. Construction of models remains challenging, especially for smaller configurations.
From arXiv cs.AI
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