AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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9,568 papers
This paper proposes Whiteboard, the first LLM imagination evaluation benchmark, and investigates whether imagination derives from the same generative tendency as hallucination and what key factors shape it.
Results show that probing accuracy is a poor heuristic for selecting intervention layers and suggest a cross-architecture mid-to-late selection criterion, and identify a cross-modal emotion subspace organized by valence and arousal.
It is argued that the central challenge of text annotation is no longer choosing between human and machine coders, but developing coding rules that minimize ambiguity and accounting for the ambiguity that remains, and it is proposed using disagreement across LLMs to identify difficult cases and refine codebooks.
Large language models (LLMs) are increasingly used to draft contractual language, yet conventional accuracy or preference-based evaluations are poorly matched to legal drafting. A clause may be fluent and stylistically polished while still omitting an essential carve-out, allocating risk in an unenforceable way, assumi...
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Standard tokenizers used in large language models produce malformed text when applied to Brahmic scripts. They are a family of abugidas, writing systems whose consonants carry an inherent vowel that dependent marks can modify. They include Devanagari, Telugu, Tamil, Kannada, and others. The underlying issue is that the...
The system submitted to the UNLP 2026 Shared Task on Multi-Domain Document Understanding achieved a Private Score of 0.8095, placing 10th out of 15 active teams, prioritizing pipeline stability over multi-step reasoning.
This work instrument a production compression gateway between coding agents and frontier LLMs, and decompose the token bill of real sessions into three independent levers: tool-schema filtering, content compression of file reads and tool output, and history summarization, which distill the results into an actionable re...
A controlled framework to isolate stylometric signals in LLM personalization using the LaMP-7 Twitter benchmark is introduced and shows that outputs conditioned on original profiles are nearly indistinguishable from human-authored ground truth, indicating that modern LLMs can closely reproduce an author's writing style...
Experimental results demonstrate that ReAgent effectively identifies inconsistencies between reported research findings and their supporting repository evidence, enabling transparent evidence traceability.
Domain-specific fine-tuning can improve healthcare LLM performance when based on high-quality, clinician-curated data, but may also degrade performance when dataset quality is inadequate.
This work proposes DeepInstructor, an agentic framework that formulates idea evaluation as reasoning over structured scholarly experience, and introduces DeepInstruct, a dataset with controlled pairwise comparisons across novelty, significance, and feasibility.
Cooking is a complex process that transforms raw ingredients into delicious and nutritious dishes, yet the recipes that encode this process remain largely free text; readable by people but not directly computable. Existing recipe collections capture fragments of this information, but no shared representation links a re...
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A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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