https://chiosa.app/papers/confucius4-r2t2-a-stable-prefix-streaming-asr-model-for-real-real-time-transcription-2611-06043Chiosaen2026-11-09T13:50:17ZA speech recognizer learns to keep committed words unchangedhttps://chiosa.app/papers/fast-and-exact-relative-position-attention-via-structure-aware-kernels-2611-01182Chiosaen2026-11-09T13:50:17ZTiled attention cuts costs of relative-position termshttps://chiosa.app/papers/longbanana-an-expert-verified-benchmark-for-long-context-multi-reference-image-synthesis-2611-06856Chiosaen2026-11-09T13:50:17ZA checklist makes multi-reference image errors easier to locatehttps://chiosa.app/papers/p-2-mopd-accelerating-multi-teacher-on-policy-distillation-via-parameter-priors-2611-03953Chiosaen2026-11-09T13:50:17ZA trainable expert blend helps a student recover domain skillshttps://chiosa.app/papers/video-coder-reinforcing-agentic-coding-for-video-generation-2611-09894Chiosaen2026-11-09T13:50:17ZA coding agent guides video generation with 3D sceneshttps://chiosa.app/papers/beyond-truncation-entailment-licensed-elision-and-the-limits-of-semantic-preservation-in-llm-decoding-2611-08975Chiosaen2026-11-09T09:25:23ZShorter answers often stop early instead of removing repetitionhttps://chiosa.app/papers/bitdecoding-fp4-native-fp4-kv-cache-decoding-via-algorithm-system-co-design-2611-09825Chiosaen2026-11-09T09:25:23ZFP4 cache decoding keeps accuracy close while raising serving capacityhttps://chiosa.app/papers/cancellation-is-not-enough-what-retries-leave-behind-in-an-overloaded-llm-engine-2611-08684Chiosaen2026-11-09T09:25:23ZClient retries can keep an overloaded language model stuckhttps://chiosa.app/papers/chainflow-few-step-latent-flow-matching-for-speculative-decoding-2611-08669Chiosaen2026-11-09T09:25:23ZA new drafter speeds up verified language-model generationhttps://chiosa.app/papers/copies-are-not-confirmations-how-news-duplication-fools-llm-judges-and-continual-learners-2611-09203Chiosaen2026-11-09T09:25:23ZCopied news can sway some language-model judgeshttps://chiosa.app/papers/deepradio-a-human-agent-workspace-for-physical-radio-development-2611-09418Chiosaen2026-11-09T09:25:23ZDeepRadio helps people build and verify physical radioshttps://chiosa.app/papers/foscar-accelerating-decode-attention-over-2-and-4-bit-kv-caches-through-affine-folding-2611-09722Chiosaen2026-11-09T09:25:23ZFOSCAR speeds attention by folding quantization into matrix productshttps://chiosa.app/papers/fused-softmax-for-efficient-quantized-attention-2611-09225Chiosaen2026-11-09T09:25:23ZFused softmax makes quantized attention faster on AMD GPUshttps://chiosa.app/papers/global-solar-siting-from-geospatial-embeddings-2611-08831Chiosaen2026-11-09T09:25:23ZA global map learns which land may suit solarhttps://chiosa.app/papers/on-agentic-manipulation-policies-2611-09892Chiosaen2026-11-09T09:25:23ZA generalist model adapts while controlling a robothttps://chiosa.app/papers/photofinish-portable-timerless-probing-of-microarchitectural-latencies-2611-09879Chiosaen2026-11-09T09:25:23ZA shared-memory race measures latency without a clockhttps://chiosa.app/papers/real-world-adoption-use-and-governance-of-an-llm-based-electronic-health-record-search-and-synthesis-platform-2611-08672Chiosaen2026-11-09T09:25:23ZDuke Scout logs show how clinicians used an EHR toolhttps://chiosa.app/papers/s-3-simple-scaling-of-swarms-via-cooperative-multi-agent-rl-2611-08615Chiosaen2026-11-09T09:25:23ZLanguage-model teams learn to coordinate through voluntary messageshttps://chiosa.app/papers/scale-as-a-modality-multi-scale-pixel-space-diffusion-transformers-2611-08802Chiosaen2026-11-09T09:25:23ZA pixel-space image model gains from representing more scaleshttps://chiosa.app/papers/splatanything-gaussian-spacing-normalization-for-feed-forward-3dgs-across-arbitrary-scenes-2611-08264Chiosaen2026-11-09T09:25:23ZGaussian spacing helps 3D scenes render across scaleshttps://chiosa.app/papers/wearablebridge-task-guided-latent-transport-for-free-living-activity-recognition-2611-09067Chiosaen2026-11-09T09:25:23ZA small bridge improves activity recognition from wrist datahttps://chiosa.app/papers/when-to-trust-the-bim-identifiability-aware-lidar-inertial-bim-fusion-under-as-built-deviations-2611-09045Chiosaen2026-11-09T09:25:23ZA robot method waits when scans cannot explain a model conflict