solver feedback

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3.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.1 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.0 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.7 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.4 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.1 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.1 Study examines issue bias in LLMs used as writing assistants before Swedish 2026 election — 1 src1.1 Study Audits Misalignment in Multi-Modal World Models — 1 src1.1 Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings — 1 src3.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.1 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.0 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.7 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.4 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.1 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.1 Study examines issue bias in LLMs used as writing assistants before Swedish 2026 election — 1 src1.1 Study Audits Misalignment in Multi-Modal World Models — 1 src1.1 Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings — 1 src

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papersTODAY 04:00 UTC

SAILOR: solver-assisted LLM method recovers missing numbers in optimization code

A new arXiv paper proposes SAILOR, an interactive approach in which a language model turns natural-language optimization problems into solver-ready code. Because such descriptions often omit or leave vague the numerical values a solver needs, the method draws on solver feedback to recover missing costs, capacities, demands, bounds and penalties. The work targets the gap between fluent problem descriptions and the complete, precise inputs that optimization software requires.

llm/optimization/code-generation/arxiv

papersSEP 12 04:00 UTC

arXiv Paper Proposes Solver-Informed Self-Distillation for Operations Research LLMs

A new arXiv preprint introduces a post-training method that uses solver feedback to guide self-distillation, aiming to improve how language models turn natural-language problem descriptions into operations research formulations. The approach is positioned as a way to go beyond training on verified answers alone when bootstrapping such models.

arxiv/self-distillation/operations-research/llm-training