AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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9,568 papers
Open rerankers trained for general web retrieval transfer imperfectly to e-commerce, where ranking decisions depend not only on topical relevance but also on user preferences, product constraints, and comparative product fit. These preference signals are difficult to supervise at scale: real search traffic provides aut...
This analysis covers 364,941 responses from three frontier Chinese-based LLMs to 12,165 factual questions derived from real-world Chinese search queries, and evaluates the models with and without reasoning across baseline, belief-conditioned, and anti-sycophancy prompting, tracing matched shifts among correct, incorrec...
Tha, a Khmer text normalization and inverse text normalization toolkit built from weighted finite-state transducers, is presented, a Khmer text normalization and inverse text normalization toolkit built from weighted finite-state transducers.
CUSP makes magnitude, timing, mechanism, movement, modes, and textual evidence compatible views of one lexical history compatible with a large corpus of US court opinions.
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FAVoR (Federated Authorial Voice Retention), an author-style residual mechanism for federated PEFT, improves author-style retention over standard and personalized federated PEFT baselines and is supported by component ablations, external verification, and cold-start transfer.
A training-free ST2P pipeline that integrates both lexical and acoustic information at inference time is proposed that outperforms all baselines, including a trained ST2P model and commercial multimodal LLMs.
This work proposes ToolSearcher, a novel RL framework for effective multi-turn search and fine-grained optimization in large-scale tool selection, which introduces category-constrained tool discrimination to improve the model's ability to distinguish functionally similar tools.
This work argues that literary interpretation offers a useful setting for studying cultural referencing and reuse: how texts invoke, repeat, and transform earlier expressions across historical and linguistic contexts and proposes linking evidence-centered benchmarks, evaluation that preserves scholarly disagreement, an...
Large language models (LLMs) are increasingly used to assess long-form medical videos, but their effectiveness may depend on whether transcripts are provided in full or compressed through summarization, retrieval, or claim screening. This study examines how such transcript compression affects LLM-based veracity classif...
Difference-in-differences (DID) studies are widely used to evaluate climate policy, but assessing the evidence supporting their identification assumptions remains challenging. We introduce ARGUS, a structured language-model pipeline that audits reported evidence against an eleven-dimension assumption-implication-eviden...
This work proposes an LLM-as-a-judge approach to measure perturbation strength in a unified manner across input and CoT perturbations and suggests that judgments about a model's self-consistency is fair only within the same perturbation type.
I-Parakeet is an integer-only implementation of NVIDIA's Parakeet-CTC (0.6B parameters) that runs on a smartphone NPU without any floating-point operator or CPU fallback, and introduces a minimax-optimized Swish approximation that minimizes the maximum error of the Swish output.
Natural Language Processing
Our most capable vision-language-action model enhances robot dexterity, reliability, and safety
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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