Yun Li
33 papers · 2020–2026 · 12 conferences · across top CS/AI conferences
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large language model
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vision-language model
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knowledge distillation
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compositional zero-shot learning
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text generation
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medical vision language model
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lexical substitution
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named entity recognition
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retrieval-augmented generation
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document simplification
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text classification
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sequence labeling
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Papers
MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution
ACL 2026
LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts
EMNLP 2025
CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models
EMNLP 2025
ToM: Leveraging Tree-oriented MapReduce for Long-Context Reasoning in Large Language Models
EMNLP 2025
Collaborative Document Simplification Using Multi-Agent Systems
COLING 2025
Post-Hoc Watermarking for Robust Detection in Text Generated by Large Language Models
COLING 2025
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
ICML 2025
PEARL: Parallel Speculative Decoding with Adaptive Draft Length
ICLR 2025
STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
ICCV 2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development
EMNLP 2025
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
AAAI 2025
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
AAAI 2025
Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
ACL 2025
MEGen: Generative Backdoor into Large Language Models via Model Editing
ACL 2025
Better Process Supervision with Bi-directional Rewarding Signals
ACL 2025
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
NIPS 2024
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
NAACL 2024
Calibrated Self-Rewarding Vision Language Models
NIPS 2024
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
EMNLP 2024
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
NIPS 2024
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
CVPR 2024
On the Identifiability and Interpretability of Gaussian Process Models
NIPS 2023
ParaLS: Lexical Substitution via Pretrained Paraphraser
ACL 2023
Chinese Lexical Substitution: Dataset and Method
EMNLP 2023
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training
ICCV 2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
ICCV 2023
Learning Canonical F-Correlation Projection for Compact Multiview Representation
CVPR 2022
Task Aligned Generative Meta-learning for Zero-shot Learning
AAAI 2021
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
EMNLP 2021
Lexical Simplification with Pretrained Encoders
AAAI 2020
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning
IJCAI 2020
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction
EMNLP 2020
A Semi-Blind Source Separation Approach for Speech Dereverberation
INTERSPEECH 2020