Sheng Shen
39 papers · 2017–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
(26)
Artificial Intelligence
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Core AI
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Deep Learning
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Natural Language Processing
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large language model
(7)
vision-language model
(7)
instruction tuning
(4)
multimodal learning
(4)
zero-shot generalization
(3)
language model
(3)
neural network optimization
(3)
transformer architecture
(3)
zero-shot learning
(3)
model scaling
(3)
transfer learning
(2)
adversarial attack
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image compression
(2)
mixture of expert
(2)
model compression
(2)
model adaptation
(2)
visual question answering
(2)
data augmentation
(2)
multi-task learning
(2)
machine translation
(2)
Papers
Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method
AAAI 2026
BTS: Harmonizing Specialized Experts into a Generalist LLM
EMNLP 2025
AgentBench: Evaluating LLMs as Agents
ICLR 2024
Aligning Large Multimodal Models with Factually Augmented RLHF
ACL 2024
Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion
IJCAI 2024
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
NeurIPS 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
ACL 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
NeurIPS 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Multitask Vision-Language Prompt Tuning
WACV 2024
SqueezeLLM: Dense-and-Sparse Quantization
ICML 2024
Crosslingual Generalization through Multitask Finetuning
ACL 2023
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression
ICCV 2023
Large Language Models are Visual Reasoning Coordinators
NeurIPS 2023
Poisoning Language Models During Instruction Tuning
ICML 2023
Scaling Vision-Language Models with Sparse Mixture of Experts
EMNLP 2023
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation
IJCAI 2023
Exposing the Limits of Video-Text Models through Contrast Sets
NAACL 2022
How Much Can CLIP Benefit Vision-and-Language Tasks?
ICLR 2022
K-LITE: Learning Transferable Visual Models with External Knowledge
NeurIPS 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
Staged Training for Transformer Language Models
ICML 2022
What Language Model to Train if You Have One Million GPU Hours?
EMNLP 2022
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
AAAI 2021
Discovering Non-monotonic Autoregressive Orderings with Variational Inference
ICLR 2021
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
NeurIPS 2021
Noisy Self-Knowledge Distillation for Text Summarization
NAACL 2021
Reservoir Transformers
ACL 2021
Whatβs Hidden in a One-layer Randomly Weighted Transformer?
EMNLP 2021
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)
IJCAI 2020
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding
EMNLP 2020
On the Generation of Medical Question-Answer Pairs
AAAI 2020
PowerNorm: Rethinking Batch Normalization in Transformers
ICML 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
AAAI 2020
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
ICML 2020
An annotated dataset of literary entities
NAACL 2019
Pragmatically Informative Text Generation
NAACL 2019
Inaudible Voice Commands: The Long-Range Attack and Defense
NSDI 2018
Bringing IoT to Sports Analytics
NSDI 2017