AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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BeaconKV is proposed, a training-free KV cache compression method that maintains beacon queries, compact representatives for each global query cluster, to anticipate which KV pairs will be revisited without storing the entire query history.
Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captured from diverse viewpoints. Despite this growing use, current LVLMs often generate incorrect responses due to visual interference from non-target instances or viewpoints, a phenomenon we term multi-view hallucination (M...
DARD is proposed, a training-free framework that separates tokens into masked, candidate, and unmasked states and adaptively regulates their influence on subsequent decoding, and consistently improves the speed-quality Pareto frontier over recent revocable decoding methods.
A six-category information taxonomy and four dimensions of linguistic style are defined and applied to real user prompts from SWE-chat and problem statements from SWE-bench Verified and Pro, finding that explicitly stating the desired behavior and motivation, which most real prompts omit, substantially improves the LLM...
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