TagsShanghai Jiao Tong Researchers Propose OctoThinker for Reinforcement Learning-Scalable LLM Development

Tag: Shanghai Jiao Tong Researchers Propose OctoThinker for Reinforcement Learning-Scalable LLM Development

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Apple Introduces DiffuCoder: A 7B Diffusion LLM Tailored for Code Generation

Mr Hossain - July 16, 2025 0

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Fractional Reasoning in LLMs: A New Way to Control Inference Depth

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Meta AI Introduces UMA (Universal Models for Atoms): A Family of Universal Models for Atoms

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Chai Discovery Team Releases Chai-2: AI Model Achieves 16% Hit Rate in De Novo Antibody Design

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AbstRaL: Teaching LLMs Abstract Reasoning via Reinforcement to Boost Robustness on GSM Benchmarks

Mr Hossain - July 5, 2025 0

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Kyutai Releases 2B Parameter Streaming Text-to-Speech TTS with 220ms Latency and 2.5M Hours of Training

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Can We Improve Llama 3’s Reasoning Through Post-Training Alone? ASTRO Shows +16% to +20% Benchmark Gains

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Crome: Google DeepMind’s Causal Framework for Robust Reward Modeling in LLM Alignment

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A Tutorial on Using OpenAI Codex with GitHub Repositories for Seamless AI-Powered Development

Mr Hossain - July 3, 2025 0

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Thought Anchors: A Machine Learning Framework for Identifying and Measuring Key Reasoning Steps in Large Language Models with Precision

Mr Hossain - July 3, 2025 0

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