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LLMS
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Cognitive Foundations for Reasoning in Large Language Models
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10. Cognitive Foundations for Reasoning in LLMs Develops a taxonomy of 28 cognitive elements and evaluate 192K reasoning traces from 18 models, plus human think-aloud traces.
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Multi-Agent Collaboration Enables Multimodal LLM Vision Integration
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9. Multi-Agent Collaboration for Multimodal LLMs introduces a framework where vision models serve as “eyes” for language models through multi-agent collaboration.
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Anthropic Evaluates Honesty and Lie Detection in AI Models
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8. Evaluating Honesty and Lie Detection in AI Models Anthropic researchers evaluate honesty and lie detection techniques across five testbed settings where models generate statements they believe to be false.
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Training Smaller LLMs with Frontier Model Reasoning Traces
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7. Training LLMs with Reasoning Traces Ivestigates how reasoning traces from frontier models like DeepSeek-R1 and GPT-OSS can improve smaller language models through post-training.
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LatentMAS: Language Model Agents Collaborate in Latent Space
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3. LatentMAS LatentMAS introduces a framework enabling language model agents to collaborate directly within a continuous latent space rather than relying on text-based communication.
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HunyuanOCR: Lightweight 1B Parameter Vision-Language Model
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2. Lightweight End-to-End OCR HunyuanOCR is a commercial-grade, open-source, lightweight vision-language model with only 1B parameters designed specifically for OCR tasks.
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INTELLECT-3: 106B MoE Model Achieves State-of-the-Art Performance
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1. INTELLECT-3
— DAIR.AI (@dair_ai) 30 novembre 2025
A 106B-parameter Mixture-of-Experts model (12B active) trained with large-scale reinforcement learning, achieving state-of-the-art performance for its size across math, code, science, and reasoning benchmarks.https://t.co/8tphkxnVzy1. INTELLECT-3 A 106B-parameter Mixture-of-Experts model (12B active) trained with large-scale reinforcement learning, achieving state-of-the-art performance for its size across math, code, science, and reasoning benchmarks.
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Top AI Papers of the Week: Latest Research Highlights
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Top AI Papers of the Week (Nov 24 – 30): – LatentMAS
– INTELLECT-3
– OmniScientist
– Lightweight End-to-End OCR
– Evolution Strategies at Hyperscale
– Training LLMs with Reasoning Traces
– Cognitive Foundations for Reasoning in LLMs Read on for more: -
Agentic AI Architecture Overview by Python Developer
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#AgenticAI Architecture by @Python_Dv #AI #GenAI #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
→ View original post on X — @marcusborba, 2025-11-30 14:11 UTC