Yue Dong
47 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (7)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(7)
🌍
Conference Polyglot
(13)
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🚀
Conference Pioneer
📈
Trend Setter
🗃️
Keyword Collector
(183)
⚡
Prolific Year
(5)
❓
The Questioner
(2)
🔥
Unstoppable
(9)
💎
Century Club
(45)
Conferences
EMNLP (15)
ACL (11)
CVPR (4)
AAAI (3)
ICLR (3)
IJCNLP (3)
NAACL (2)
EACL (1)
ECCV (1)
ICCV (1)
ICML (1)
INTERSPEECH (1)
NSDI (1)
Top co-authors
Research topics
Keywords
large language model
(7)
abstractive summarization
(6)
adversarial attack
(6)
safety alignment
(4)
extractive summarization
(4)
text classification
(4)
text generation
(4)
transfer learning
(3)
factual consistency
(3)
rouge score
(3)
hallucination mitigation
(3)
scientific document
(3)
text summarization
(3)
reinforcement learning
(3)
attack success rate
(2)
news summarization
(2)
long document
(2)
auxiliary loss
(2)
language model
(2)
question answering
(2)
Papers
Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
AAAI 2026
Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization
ACL 2026
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning
ICLR 2025
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment
EMNLP 2025
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
ICML 2025
ExpertGenQA: Open-ended QA generation in Specialized Domains
EMNLP 2025
HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models
EMNLP 2025
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
ACL 2024
EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models
ACL 2024
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering
ACL 2024
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
ICLR 2024
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
EMNLP 2024
Can Textual Unlearning Solve Cross-Modality Safety Alignment?
EMNLP 2024
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations
EMNLP 2024
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
AAAI 2024
QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models
NSDI 2024
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety
NAACL 2024
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack
ACL 2024
Vulnerabilities of Large Language Models to Adversarial Attacks
ACL 2024
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation
ACL 2024
Inverse Reinforcement Learning for Text Summarization
EMNLP 2023
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
ACL 2022
Learning with Rejection for Abstractive Text Summarization
EMNLP 2022
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization
EMNLP 2022
Text Generation with Text-Editing Models
NAACL 2022
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
ACL 2021
Discourse-Aware Unsupervised Summarization for Long Scientific Documents
EACL 2021
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
ICLR 2021
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
IJCNLP 2021
On-the-Fly Attention Modulation for Neural Generation
IJCNLP 2021
On-the-Fly Attention Modulation for Neural Generation
ACL 2021
Object-based Illumination Estimation with Rendering-aware Neural Networks
ECCV 2020
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask
CVPR 2020
TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning
CVPR 2020
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
EMNLP 2020
Multi-Fact Correction in Abstractive Text Summarization
EMNLP 2020
Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning
INTERSPEECH 2020
Factual Error Correction for Abstractive Summarization Models
EMNLP 2020
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
IJCNLP 2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
EMNLP 2019
Learning Multi-Task Communication with Message Passing for Sequence Learning
AAAI 2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
ACL 2019
Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks
CVPR 2019
Recursive Cascaded Networks for Unsupervised Medical Image Registration
ICCV 2019
BanditSum: Extractive Summarization as a Contextual Bandit
EMNLP 2018
A Hierarchical Neural Attention-based Text Classifier
EMNLP 2018
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories
CVPR 2017