<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
<url><loc>https://savrn.com/papers/quantifying-the-carbon-emissions-of-machine-learning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/openmed-ner-open-source-domain-adapted-state-of-the-art-transformers-for-biomedical-ner-ac</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/yarn-efficient-context-window-extension-of-large-language-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen3-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/chronos-learning-the-language-of-time-series</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/linktransformer-a-unified-package-for-record-linkage-with-transformer-language-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/exploring-the-limits-of-transfer-learning-with-a-unified-text-to-text-transformer</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen2-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/gemma-4-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/videomae-masked-autoencoders-are-data-efficient-learners-for-self-supervised-video-pre-tra</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/segformer-simple-and-efficient-design-for-semantic-segmentation-with-transformers</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/per-pixel-classification-is-not-all-you-need-for-semantic-segmentation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/an-image-is-worth-16x16-words-transformers-for-image-recognition-at-scale</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/resnet-strikes-back-an-improved-training-procedure-in-timm</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/masked-attention-mask-transformer-for-universal-image-segmentation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen-vl-a-frontier-large-vision-language-model-with-versatile-abilities</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen2-vl-enhancing-vision-language-model-s-perception-of-the-world-at-any-resolution</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/sentence-bert-sentence-embeddings-using-siamese-bert-networks</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/beir-a-heterogenous-benchmark-for-zero-shot-evaluation-of-information-retrieval-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/masked-autoencoders-are-scalable-vision-learners</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/debertav3-improving-deberta-using-electra-style-pre-training-with-gradient-disentangled-em</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/deep-residual-learning-for-image-recognition</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/boolq-exploring-the-surprising-difficulty-of-natural-yes-no-questions</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/deberta-decoding-enhanced-bert-with-disentangled-attention</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mteb-massive-text-embedding-benchmark</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/c-pack-packaged-resources-to-advance-general-chinese-embedding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/retrieve-anything-to-augment-large-language-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/building-efficient-universal-classifiers-with-natural-language-inference</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/ltx-2-efficient-joint-audio-visual-foundation-model</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/distilbert-a-distilled-version-of-bert-smaller-faster-cheaper-and-lighter</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/learning-transferable-visual-models-from-natural-language-supervision</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/trocr-transformer-based-optical-character-recognition-with-pre-trained-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/a-convnet-for-the-2020s</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/expanding-language-image-pretrained-models-for-general-video-recognition</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/sigmoid-loss-for-language-image-pre-training</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/scaling-speech-technology-to-1-000-languages</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/how-to-train-your-vit-data-augmentation-and-regularization-in-vision-transformers</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/pali-a-jointly-scaled-multilingual-language-image-model</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/convnext-v2-co-designing-and-scaling-convnets-with-masked-autoencoders</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/making-large-language-models-a-better-foundation-for-dense-retrieval</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/bilateral-reference-for-high-resolution-dichotomous-image-segmentation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen2-5-coder-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen2-5-vl-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/a-broad-coverage-challenge-corpus-for-sentence-understanding-through-inference</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/roberta-a-robustly-optimized-bert-pretraining-approach</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/unsupervised-cross-lingual-representation-learning-at-scale</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/robust-speech-recognition-via-large-scale-weak-supervision</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/lm-cocktail-resilient-tuning-of-language-models-via-model-merging</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/soaring-from-4k-to-400k-extending-llm-s-context-with-activation-beacon</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/siglip-2-multilingual-vision-language-encoders-with-improved-semantic-understanding-locali</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/fine-tuning-vision-language-action-models-optimizing-speed-and-success</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen3-tts-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/molmoact2-action-reasoning-models-for-real-world-deployment</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/squad-100-000-questions-for-machine-comprehension-of-text</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/searchqa-a-new-q-a-dataset-augmented-with-context-from-a-search-engine</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/semeval-2017-task-1-semantic-textual-similarity-multilingual-and-cross-lingual-focused-eva</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/neural-network-acceptability-judgments</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/wic-the-word-in-context-dataset-for-evaluating-context-sensitive-meaning-representations</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/xnli-evaluating-cross-lingual-sentence-representations</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/wikihow-a-large-scale-text-summarization-dataset</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/record-bridging-the-gap-between-human-and-machine-commonsense-reading-comprehension</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/a-repository-of-conversational-datasets</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/pegasus-pre-training-with-extracted-gap-sentences-for-abstractive-summarization</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/wav2vec-2-0-a-framework-for-self-supervised-learning-of-speech-representations</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/paq-65-million-probably-asked-questions-and-what-you-can-do-with-them</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/vivit-a-video-vision-transformer</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/gooaq-open-question-answering-with-diverse-answer-types</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/speechbrain-a-general-purpose-speech-toolkit</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/high-resolution-image-synthesis-with-latent-diffusion-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/the-carbon-footprint-of-machine-learning-training-will-plateau-then-shrink</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/scaling-instruction-finetuned-language-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/oneformer-one-transformer-to-rule-universal-image-segmentation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/text-embeddings-by-weakly-supervised-contrastive-pre-training</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/detrs-beat-yolos-on-real-time-object-detection</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/fast-conformer-with-linearly-scalable-attention-for-efficient-speech-recognition</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/towards-general-text-embeddings-with-multi-stage-contrastive-learning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/openvla-an-open-source-vision-language-action-model</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/d-fine-redefine-regression-task-in-detrs-as-fine-grained-distribution-refinement</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen3-embedding-advancing-text-embedding-and-reranking-through-foundation-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/kronos-a-foundation-model-for-the-language-of-financial-markets</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/nemotron-3-nano-open-efficient-mixture-of-experts-hybrid-mamba-transformer-model-for-agent</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/nvidia-nemotron-3-efficient-and-open-intelligence</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/algorithms-for-the-markov-entropy-decomposition</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/triviaqa-a-large-scale-distantly-supervised-challenge-dataset-for-reading-comprehension</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/socialiqa-commonsense-reasoning-about-social-interactions</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/hellaswag-can-a-machine-really-finish-your-sentence</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/winogrande-an-adversarial-winograd-schema-challenge-at-scale</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/on-the-cross-lingual-transferability-of-monolingual-representations</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/on-the-measure-of-intelligence</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/piqa-reasoning-about-physical-commonsense-in-natural-language</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/end-to-end-object-detection-with-transformers</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/measuring-massive-multitask-language-understanding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/the-pile-an-800gb-dataset-of-diverse-text-for-language-modeling</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/measuring-mathematical-problem-solving-with-the-math-dataset</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/does-putting-a-linguist-in-the-loop-improve-nlu-data-collection</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/superb-speech-processing-universal-performance-benchmark</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/evaluating-large-language-models-trained-on-code</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/program-synthesis-with-large-language-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/training-verifiers-to-solve-math-word-problems</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/datasheet-for-the-pile</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/classifier-free-diffusion-guidance</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/a-time-series-is-worth-64-words-long-term-forecasting-with-transformers</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/videomae-v2-scaling-video-masked-autoencoders-with-dual-masking</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/agieval-a-human-centric-benchmark-for-evaluating-foundation-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/dinov2-learning-robust-visual-features-without-supervision</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/a-decoder-only-foundation-model-for-time-series-forecasting</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/unified-training-of-universal-time-series-forecasting-transformers</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/multilingual-e5-text-embeddings-a-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/minicpm-v-a-gpt-4v-level-mllm-on-your-phone</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/multimodal-latent-language-modeling-with-next-token-diffusion</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/wan-open-and-advanced-large-scale-video-generative-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/smolvla-a-vision-language-action-model-for-affordable-and-efficient-robotics</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/vibevoice-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/chronos-2-from-univariate-to-universal-forecasting</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/glm-5-from-vibe-coding-to-agentic-engineering</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/pp-ocrv6-from-1-5m-to-34-5m-parameters-surpassing-billion-scale-vlms-on-ocr-tasks</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/attention-is-all-you-need</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/a-simple-method-for-commonsense-reasoning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/tallyqa-answering-complex-counting-questions</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/biobert-a-pre-trained-biomedical-language-representation-model-for-biomedical-text-mining</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/drop-a-reading-comprehension-benchmark-requiring-discrete-reasoning-over-paragraphs</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/spatialsense-an-adversarially-crowdsourced-benchmark-for-spatial-relation-recognition</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/fairface-face-attribute-dataset-for-balanced-race-gender-and-age</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/a-large-scale-study-of-representation-learning-with-the-visual-task-adaptation-benchmark</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/bart-denoising-sequence-to-sequence-pre-training-for-natural-language-generation-translati</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/learning-video-representations-from-textual-web-supervision</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/is-space-time-attention-all-you-need-for-video-understanding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/swin-transformer-hierarchical-vision-transformer-using-shifted-windows</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/ast-audio-spectrogram-transformer</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/infographicvqa</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/you-only-look-at-one-sequence-rethinking-transformer-in-vision-through-object-detection</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/merlot-multimodal-neural-script-knowledge-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/the-flores-101-evaluation-benchmark-for-low-resource-and-multilingual-machine-translation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mr-tydi-a-multi-lingual-benchmark-for-dense-retrieval</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/wavlm-large-scale-self-supervised-pre-training-for-full-stack-speech-processing</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/chartqa-a-benchmark-for-question-answering-about-charts-with-visual-and-logical-reasoning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/linkbert-pretraining-language-models-with-document-links</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/learning-audio-video-modalities-from-image-captions</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/coca-contrastive-captioners-are-image-text-foundation-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/photorealistic-text-to-image-diffusion-models-with-deep-language-understanding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/language-models-are-multilingual-chain-of-thought-reasoners</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/tasksource-structured-dataset-preprocessing-annotations-for-frictionless-extreme-multi-tas</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/blip-2-bootstrapping-language-image-pre-training-with-frozen-image-encoders-and-large-lang</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/grounding-dino-marrying-dino-with-grounded-pre-training-for-open-set-object-detection</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/pythia-a-suite-for-analyzing-large-language-models-across-training-and-scaling</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/internvid-a-large-scale-video-text-dataset-for-multimodal-understanding-and-generation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/gpqa-a-graduate-level-google-proof-q-a-benchmark</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mmmu-a-massive-multi-discipline-multimodal-understanding-and-reasoning-benchmark-for-exper</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/dqwen3-5-hybrid-attention-diffusion-language-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/learning-fine-grained-bimanual-manipulation-with-low-cost-hardware</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/gemini-a-family-of-highly-capable-multimodal-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/bge-m3-embedding-multi-lingual-multi-functionality-multi-granularity-text-embeddings-throu</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/moment-a-family-of-open-time-series-foundation-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/videoprism-a-foundational-visual-encoder-for-video-understanding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/blink-multimodal-large-language-models-can-see-but-not-perceive</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/indicgenbench-a-multilingual-benchmark-to-evaluate-generation-capabilities-of-llms-on-indi</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/spinquant-llm-quantization-with-learned-rotations</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/rt-detrv2-improved-baseline-with-bag-of-freebies-for-real-time-detection-transformer</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/smarter-better-faster-longer-a-modern-bidirectional-encoder-for-fast-memory-efficient-and</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/wmt24-expanding-the-language-coverage-of-wmt24-to-55-languages-dialects</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/eclektic-a-novel-challenge-set-for-evaluation-of-cross-lingual-knowledge-transfer</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen2-5-omni-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/v-jepa-2-self-supervised-video-models-enable-understanding-prediction-and-planning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/x-vla-soft-prompted-transformer-as-scalable-cross-embodiment-vision-language-action-model</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/rf-detr-neural-architecture-search-for-real-time-detection-transformers</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen3-vl-embedding-and-qwen3-vl-reranker-a-unified-framework-for-state-of-the-art-multimod</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/dflash-block-diffusion-for-flash-speculative-decoding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/revisiting-the-generic-transformer-deconstructing-a-strong-baseline-for-time-series-founda</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/it-s-time-towards-the-next-generation-of-time-series-forecasting-benchmarks</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/v-jepa-2-1-unlocking-dense-features-in-video-self-supervised-learning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/moss-tts-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/nemotron-3-nano-omni-efficient-and-open-multimodal-intelligence</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/toto-2-0-time-series-forecasting-enters-the-scaling-era</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/deepseek-v4-towards-highly-efficient-million-token-context-intelligence</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/glue-a-multi-task-benchmark-and-analysis-platform-for-natural-language-understanding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/unified-perceptual-parsing-for-scene-understanding</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/faceforensics-learning-to-detect-manipulated-facial-images</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/publicly-available-clinical-bert-embeddings</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mitigating-bias-in-locally-constrained-decoding-via-tractable-proposals</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/searching-for-mobilenetv3</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/efficientnet-rethinking-model-scaling-for-convolutional-neural-networks</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/facebook-fair-s-wmt19-news-translation-task-submission</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/well-read-students-learn-better-on-the-importance-of-pre-training-compact-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/benchmarking-zero-shot-text-classification-datasets-evaluation-and-entailment-approach</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/libri-light-a-benchmark-for-asr-with-limited-or-no-supervision</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/minilm-deep-self-attention-distillation-for-task-agnostic-compression-of-pre-trained-trans</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mobilebert-a-compact-task-agnostic-bert-for-resource-limited-devices</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/colbert-efficient-and-effective-passage-search-via-contextualized-late-interaction-over-be</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/revisiting-pre-trained-models-for-chinese-natural-language-processing</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/ecapa-tdnn-emphasized-channel-attention-propagation-and-aggregation-in-tdnn-based-speaker</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/visual-transformers-token-based-image-representation-and-processing-for-computer-vision</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/big-bird-transformers-for-longer-sequences</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/domain-specific-language-model-pretraining-for-biomedical-natural-language-processing</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/multilingual-translation-with-extensible-multilingual-pretraining-and-finetuning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/deformable-detr-deformable-transformers-for-end-to-end-object-detection</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/beyond-english-centric-multilingual-machine-translation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mt5-a-massively-multilingual-pre-trained-text-to-text-transformer</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/barthez-a-skilled-pretrained-french-sequence-to-sequence-model</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/the-third-dihard-diarization-challenge</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/voxpopuli-a-large-scale-multilingual-speech-corpus-for-representation-learning-semi-superv</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/towards-measuring-fairness-in-ai-the-casual-conversations-dataset</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/gigaspeech-an-evolving-multi-domain-asr-corpus-with-10-000-hours-of-transcribed-audio</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/beit-bert-pre-training-of-image-transformers</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/train-short-test-long-attention-with-linear-biases-enables-input-length-extrapolation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/generalization-in-nli-ways-not-to-go-beyond-simple-heuristics</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/swin-transformer-v2-scaling-up-capacity-and-resolution</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/ava-avd-audio-visual-speaker-diarization-in-the-wild</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/ocr-free-document-understanding-transformer</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/image-segmentation-using-text-and-image-prompts</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/blip-bootstrapping-language-image-pre-training-for-unified-vision-language-understanding-a</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/evaluation-of-transfer-learning-for-polish-with-a-text-to-text-model</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/matryoshka-representation-learning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/doclaynet-a-large-human-annotated-dataset-for-document-layout-analysis</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/bigvgan-a-universal-neural-vocoder-with-large-scale-training</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/large-scale-contrastive-language-audio-pretraining-with-feature-fusion-and-keyword-to-capt</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/direct-preference-optimization-your-language-model-is-secretly-a-reward-model</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mert-acoustic-music-understanding-model-with-large-scale-self-supervised-training</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/speech-based-age-and-gender-prediction-with-transformers</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mivolo-multi-input-transformer-for-age-and-gender-estimation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/ced-consistent-ensemble-distillation-for-audio-tagging</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/angle-optimized-text-embeddings</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/deepspeed-ulysses-system-optimizations-for-enabling-training-of-extreme-long-sequence-tran</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/jina-embeddings-2-8192-token-general-purpose-text-embeddings-for-long-documents</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/seamless-multilingual-expressive-and-streaming-speech-translation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/stateful-conformer-with-cache-based-inference-for-streaming-automatic-speech-recognition</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/improving-text-embeddings-with-large-language-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/tiny-time-mixers-ttms-fast-pre-trained-models-for-enhanced-zero-few-shot-forecasting-of-mu</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/distributionally-robust-receive-beamforming</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/nomic-embed-training-a-reproducible-long-context-text-embedder</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/beyond-specialization-assessing-the-capabilities-of-mllms-in-age-and-gender-estimation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/scaling-rectified-flow-transformers-for-high-resolution-image-synthesis</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/caduceus-bi-directional-equivariant-long-range-dna-sequence-modeling</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/llmlingua-2-data-distillation-for-efficient-and-faithful-task-agnostic-prompt-compression</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/mgte-generalized-long-context-text-representation-and-reranking-models-for-multilingual-te</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/docling-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/emmett-efficient-multimodal-machine-translation-training</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/0-a-vision-language-action-flow-model-for-general-robot-control</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/llm2clip-powerful-language-model-unlock-richer-visual-representation</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/deepseek-v3-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/muq-self-supervised-music-representation-learning-with-mel-residual-vector-quantization</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/deepseek-r1-incentivizing-reasoning-capability-in-llms-via-reinforcement-learning</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/smollm2-when-smol-goes-big-data-centric-training-of-a-small-language-model</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/training-and-inference-efficiency-of-encoder-decoder-speech-models</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/gr00t-n1-an-open-foundation-model-for-generalist-humanoid-robots</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/0-5-a-vision-language-action-model-with-open-world-generalization</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/vox-profile-a-speech-foundation-model-benchmark-for-characterizing-diverse-speaker-and-spe</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/tirex-zero-shot-forecasting-across-long-and-short-horizons-with-enhanced-in-context-learni</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/qwen-image-technical-report</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/flowstate-sampling-rate-invariant-time-series-forecasting</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/gpt-oss-120b-gpt-oss-20b-model-card</loc><lastmod>2026-09-18</lastmod></url>
<url><loc>https://savrn.com/papers/espnet-end-to-end-speech-processing-toolkit</loc><lastmod>2026-09-18</lastmod></url>
</urlset>