dong.li

Website review dong.li

 Generated on December 06 2025 18:11 PM

Old data? UPDATE !

The score is 55/100

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Title

Li Dong - Homepage

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Description

Homepage of Li Dong, NLP researcher in Microsoft.

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Keywords

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

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Headings

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

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In-page links

We found a total of 312 links including 199 link(s) to files

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

Keywords Cloud

bib language shaohan code wang dong pdf huang furu wei

Keywords Consistency

Keyword Content Title Keywords Description Headings
dong 129
pdf 114
bib 114
wei 109
furu 104

Usability

Url

Domain : dong.li

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