AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,629 papers
This paper presents an open and modular transformer-based framework that detects and structures social tipping point evidence at the passage level, outperforming both a climate-focused model and untuned language models.
The results indicate that front-loading code understanding into a reusable, codebase-specialised vector store enables small local models to deliver grounded and repository-specific answers, making the agent well suited as a privacy-preserving development tool for in-house scientific codebases.
Assistants built on large language models are expected to write as their user would, and the dominant approach is single-channel: preferences summarised from conversation history and reinserted into context. This inverts the order of inference. Preferences are the task-dependent surface of a comparatively stable person...
Blinded physician evaluation has been considered by many to be the gold standard for assessing clinical reasoning in large language models (LLMs). This is difficult to scale; thus, prior studies typically rely on small physician panels, often from a single institution or specialty, which both limits the scientific ques...
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The Graph Theory Agent (GTA), which pairs a preference-trained representation selector with plan-and-decompose scaffolding around a frozen executor LLM, is proposed, which lifts Phi-4 from 53.5% to 69.1% on the benchmark's easy split and from 33.0% to 41.5% on its hard split.
This work asks whether a self-architecting transformer, which grows its own width and depth from quantitative signals derived from the attention matrices, can extract competitive protein representations from a single reference proteome.
CARE-MoE is proposed, an efficient MoE LLM inference framework comprising two core components that balances expert placement by jointly modeling co-activation correlation and hot–cold drift, preventing overload from correlated experts and enabling low-cost adaptive rebalancing.
MIGServe treats the physical layout of MIG instances as a first-class scheduling dimension through three techniques: buddy-aware partition placement, which preserves large contiguous free blocks by allocating next to existing occupied buddies; proactive pair-matching migration, which consolidates fragmented half-full b...
A Multi-State Semantic Cache (MSSC) framework that dynamically maps knowledge chunks into three mutually exclusive states: zero cache, index cache, and full cache is proposed that reduces average service latency by over 40% in dynamic scenarios and suppresses backhaul reconfiguration traffic by up to 38% compared to co...
A sail is pushed by the wind, so a boat cannot outrun the wind──so it seems. This paper shows that changing only the heading removes the cap──neither the wind nor the sail is altered at all. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──apparent wind, propulsion b...
The Hall--Petch relation says finer grains are stronger, and it reverses at 10 to 30 nm. This paper shows that the reversal is not because the theoretical strength was reached──the prediction there does not even reach 14 per cent of it. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem...
Analysis scripts accompanying the study “Dissociation Between Clinical Decision Accuracy and Citation Reliability Across Large Language Models in Small Renal Mass Management.” The scripts reproduce the statistical analyses reported in the manuscript, including inter-rater reliability (Cohen’s kappa), model comparisons...
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A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
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A Blog post by IBM Granite on Hugging Face
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