dong.li

Evaluation du site dong.li

 Généré le 06 Décembre 2025 18:11

Vieilles statistiques? UPDATE !

Le score est de 55/100

Optimisation du contenu

Titre

Li Dong - Homepage

Longueur : 18

Parfait, votre titre contient entre 10 et 70 caractères.

Description

Homepage of Li Dong, NLP researcher in Microsoft.

Longueur : 49

Idéalement, votre balise META description devrait contenir entre 70 et 160 caractères (espaces compris). Utilisez cet outil gratuit pour calculer la longueur du texte.

Mots-clefs

Li Dong, Li Dong Microsoft, Li Dong MSRA, Li Dong Edinburgh, Li Dong Beihang

Bien, votre page contient une balise META keywords.

Propriétés Open Graph

Cette page ne profite pas des balises META Open Graph. Cette balise permet de représenter de manière riche n'importe quelle page dans le graph social (environnement social). Utilisez ce générateur gratuit de balises META Open Graph pour les créer.

Niveaux de titre

H1 H2 H3 H4 H5 H6
1 5 0 0 0 0
  • [H1] Li Dong 董力
  • [H2] Research Interests
  • [H2] Publications [Google Scholar]
  • [H2] Experience
  • [H2] Honors and Awards
  • [H2] Professional Activities

Images

Nous avons trouvé 0 image(s) sur cette page Web.

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Ratio texte/HTML

Ratio : 60%

Idéal! le ratio de cette page texte/HTML est entre 25 et 70 pour cent.

Flash

Parfait, aucun contenu FLASH n'a été détecté sur cette page.

Iframe

Génial, il n'y a pas d'Iframes détectés sur cette page.

Réécriture d'URLs

Bien. Vos liens sont optimisés!

Tiret bas dans les URLs

Nous avons détectés des soulignements dans vos URLs. Vous devriez plutôt utiliser des tirets pour optimiser votre référencement.

Liens dans la page

Nous avons trouvé un total de 312 lien(s) dont 199 lien(s) vers des fichiers

Texte d'ancre Type Juice
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Google Scholar Externe Passing Juice
VibeVoice Technical Report Externe Passing Juice
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Reward Reasoning Model Externe Passing Juice
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Native Hybrid Thinking Models Externe Passing Juice
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MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems Externe Passing Juice
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Scaling Laws of Synthetic Data for Language Models Externe Passing Juice
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Reinforcement Pre-Training Externe Passing Juice
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Rectified Sparse Attention Externe Passing Juice
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On-Policy RL with Optimal Reward Baseline Externe Passing Juice
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code merged to verl Externe Passing Juice
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought Externe Passing Juice
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Differential Transformer Externe Passing Juice
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Data Selection via Optimal Control for Language Models Externe Passing Juice
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Self-Boosting Large Language Models with Synthetic Preference Data Externe Passing Juice
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Semi-Parametric Retrieval via Binary Bag-of-Tokens Index Externe Passing Juice
WildLong: Synthesizing Realistic Long-Context Instruction Data at Scale Externe Passing Juice
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Multimodal Latent Language Modeling with Next-Token Diffusion Externe Passing Juice
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RedStone: Curating General, Code, Math, and QA Data for Large Language Models Externe Passing Juice
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You Only Cache Once: Decoder-Decoder Architectures for Language Models Externe Passing Juice
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Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models Externe Passing Juice
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Multi-Head Mixture-of-Experts Externe Passing Juice
Direct Preference Knowledge Distillation for Large Language Models Externe Passing Juice
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Towards Optimal Learning of Language Models Externe Passing Juice
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Externe Passing Juice
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Kosmos-E: Learning to Follow Instruction for Robotic Grasping Interne Passing Juice
Kosmos-G: Generating Images in Context with Multimodal Large Language Models Externe Passing Juice
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Kosmos-2: Grounding Multimodal Large Language Models to the World Externe Passing Juice
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Knowledge Distillation of Large Language Models Externe Passing Juice
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BioCLIP: A Vision Foundation Model for the Tree of Life Externe Passing Juice
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BitNet: Scaling 1-bit Transformers for Large Language Models Externe Passing Juice
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Kosmos-2.5: A Multimodal Literate Model Externe Passing Juice
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Large Language Model for Science: A Study on P vs. NP Externe Passing Juice
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Retentive Network: A Successor to Transformer for Large Language Models Externe Passing Juice
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LongNet: Scaling Transformers to 1,000,000,000 Tokens Externe Passing Juice
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Language Is Not All You Need: Aligning Perception with Language Models Externe Passing Juice
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MetaLM Externe Passing Juice
Augmenting Language Models with Long-Term Memory Externe Passing Juice
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Optimizing Prompts for Text-to-Image Generation Externe Passing Juice
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Extensible Prompts for Language Models Externe Passing Juice
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Pre-Training to Learn in Context Externe Passing Juice
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A Length-Extrapolatable Transformer Externe Passing Juice
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Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers Externe Passing Juice
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Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning Externe Passing Juice
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GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator Externe Passing Juice
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Magneto: A Foundation Transformer Externe Passing Juice
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Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks Externe Passing Juice
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VL-BEiT Externe Passing Juice
Non-Contrastive Learning Meets Language-Image Pre-Training Externe Passing Juice
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Generic-to-Specific Distillation of Masked Autoencoders Externe Passing Juice
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A Unified View of Masked Image Modeling Externe Passing Juice
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Visually-Augmented Language Modeling Externe Passing Juice
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Corrupted Image Modeling for Self-Supervised Visual Pre-Training Externe Passing Juice
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Prototypical Calibration for Few-shot Learning of Language Models Externe Passing Juice
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Structured Prompting: Scaling In-Context Learning to 1,000 Examples Externe Passing Juice
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BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers Externe Passing Juice
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Language Models are General-Purpose Interfaces Externe Passing Juice
On the Representation Collapse of Sparse Mixture of Experts Externe Passing Juice
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VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts Externe Passing Juice
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BEiT: BERT Pre-Training of Image Transformers Externe Passing Juice
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AdaPrompt: Adaptive Model Training for Prompt-based NLP Externe Passing Juice
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CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation Externe Passing Juice
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Knowledge Neurons in Pretrained Transformers Externe Passing Juice
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XLM-E: Cross-lingual Language Model Pre-training via ELECTRA Externe Passing Juice
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StableMoE: Stable Routing Strategy for Mixture of Experts Externe Passing Juice
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Controllable Natural Language Generation with Contrastive Prefixes Externe Passing Juice
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CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment Externe Passing Juice
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Swin Transformer V2: Scaling Up Capacity and Resolution Externe Passing Juice
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Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training Externe Passing Juice
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mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs Externe Passing Juice
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Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders Externe Passing Juice
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Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment Externe Passing Juice
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Consistency Regularization for Cross-Lingual Fine-Tuning Externe Passing Juice
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Learning to Sample Replacements for ELECTRA Pre-Training Externe Passing Juice
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Memory-Efficient Differentiable Transformer Architecture Search Externe Passing Juice
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MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers Externe Passing Juice
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Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains Externe Passing Juice
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InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training Externe Passing Juice
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Self-Attention Attribution: Interpreting Information Interactions Inside Transformer Externe Passing Juice
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DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders Externe Passing Juice
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XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders Externe Passing Juice
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UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training Externe Passing Juice
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MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Externe Passing Juice
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Cross-Lingual Natural Language Generation via Pre-Training Externe Passing Juice
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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks Externe Passing Juice
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Harvesting and Refining Question-Answer Pairs for Unsupervised QA Externe Passing Juice
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Unified Language Model Pre-training for Natural Language Understanding and Generation Externe Passing Juice
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Visualizing and Understanding the Effectiveness of BERT Externe Passing Juice
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Data-to-text Generation with Entity Modeling Externe Passing Juice
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Learning to Ask Unanswerable Questions for Machine Reading Comprehension Externe Passing Juice
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Data-to-Text Generation with Content Selection and Planning Externe Passing Juice
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Coarse-to-Fine Decoding for Neural Semantic Parsing Externe Passing Juice
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Confidence Modeling for Neural Semantic Parsing Externe Passing Juice
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Learning to Paraphrase for Question Answering Externe Passing Juice
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Learning to Generate Product Reviews from Attributes Externe Passing Juice
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Language to Logical Form with Neural Attention Externe Passing Juice
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Long Short-Term Memory-Networks for Machine Reading Externe Passing Juice
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Solving and Generating Chinese Character Riddles Externe Passing Juice
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Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction Externe Passing Juice
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Question Answering over Freebase with Multi-Column Convolutional Neural Networks Externe Passing Juice
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A Hybrid Neural Model for Type Classification of Entity Mentions Externe Passing Juice
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Ranking with Recursive Neural Networks and Its Application to Multi-document Summarization Externe Passing Juice
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Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification Externe Passing Juice
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Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis Externe Passing Juice
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A Joint Segmentation and Classification Framework for Sentiment Analysis Externe Passing Juice
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The Automated Acquisition of Suggestions from Tweets Externe Passing Juice
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MoodLens: An Emoticon-Based Sentiment Analysis System for Chinese Tweets Interne Passing Juice
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Model as a Game: On Numerical and Spatial Consistency for Generative Games Externe Passing Juice
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Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task Externe Passing Juice
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Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension Externe Passing Juice
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Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets Externe Passing Juice
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Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models Externe Passing Juice
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DeepNet: Scaling Transformers to 1,000 Layers Externe Passing Juice
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Generic-to-Specific Distillation of Masked Autoencoders Externe Passing Juice
Transforming Wikipedia into Augmented Data for Query-Focused Summarization Externe Passing Juice
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Adaptive Multi-Compositionality for Recursive Neural Network Models Externe Passing Juice
A Statistical Parsing Framework for Sentiment Classification Externe Passing Juice
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A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification Externe Passing Juice
Unraveling the origin of exponential law in intra-urban human mobility Externe Passing Juice
Performance of Local Information Based Link Prediction: A Sampling Perspective Externe Passing Juice
Learning Natural Language Interfaces with Neural Models Externe Passing Juice
AIMatters (invited) Externe Passing Juice
Principal Researcher Externe Passing Juice
Mirella Lapata Externe Passing Juice
Chris Quirk Externe Passing Juice
Furu Wei Externe Passing Juice
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Mots-clefs

Nuage de mots-clefs

wei bib shaohan dong huang wang pdf code furu language

Cohérence des mots-clefs

Mot-clef Contenu Titre Mots-clefs Description Niveaux de titre
dong 129
pdf 114
bib 114
wei 109
furu 104

Ergonomie

Url

Domaine : dong.li

Longueur : 7

Favicon

Génial, votre site web dispose d'un favicon.

Imprimabilité

Aucun style CSS pour optimiser l'impression n'a pu être trouvé.

Langue

Bien. Votre langue est : en.

Dublin Core

Cette page ne profite pas des métadonnées Dublin Core.

Document

Doctype

XHTML 1.1 - DTD

Encodage

Parfait. Votre charset est UTF-8.

Validité W3C

Erreurs : 0

Avertissements : 0

E-mail confidentialité

Attention! Au moins une adresse e-mail a été trouvée en texte clair. Utilisez une protection anti-spam gratuite pour cacher vos e-mails aux spammeurs.

HTML obsolètes

Tags obsolètes Occurrences
<font> 1

Les balises HTML obsolètes sont des balises qui ne sont plus utilisés. Il est recommandé de supprimer ou de remplacer ces balises HTML, car elles sont désormais obsolètes.

Astuces vitesse

Excellent, votre site n'utilise pas de tableaux imbriqués.
Mauvais, votre site web utilise des styles css inline.
Génial, votre site web contient peu de fichiers CSS.
Parfait, votre site web contient peu de fichiers javascript.
Parfait : votre site tire parti de gzip.

Mobile

Optimisation mobile

Icône Apple
Méta tags viewport
Contenu FLASH

Optimisation

Sitemap XML

Manquant

Votre site web ne dispose pas d’une sitemap XML, ce qui peut poser problème.

La sitemap recense les URLs que les moteurs de recherche peuvent indexer, tout en proposant d’éventuelles informations supplémentaires (comme la date de dernière mise à jour, la fréquence des changements, ainsi que leur niveau d’importance). Ceci permet aux moteurs de recherche de parcourir le site de façon plus efficace.

Robots.txt

http://dong.li/robots.txt

Votre site dispose d’un fichier robots.txt, ce qui est optimal.

Mesures d'audience

Manquant

Nous n'avons trouvé aucun outil d'analytics sur ce site.

Un outil de mesure d'audience vous permet d'analyser l’activité des visiteurs sur votre site. Vous devriez installer au moins un outil Analytics. Il est souvent utile d’en rajouter un second, afin de confirmer les résultats du premier.

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