Lijie Hu
27 papers · 2022–2026 · 12 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (8)
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(22)
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(25)
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(13)
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The Questioner
Conferences
ACL (6)
EMNLP (5)
AAAI (3)
ICML (3)
ICLR (2)
JMLR (2)
AISTATS (1)
ALT (1)
EACL (1)
ICCV (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(7)
differential privacy
(5)
mechanistic interpretability
(3)
natural language processing
(2)
concept alignment
(2)
knowledge editing
(2)
stochastic convex optimization
(2)
tysbakov noise condition
(2)
benchmark evaluation
(2)
excess population risk
(2)
adversarial robustness
(1)
sentiment analysis
(1)
statistical learning theory
(1)
visual question answering
(1)
semi-supervised learning
(1)
principal component analysis
(1)
multimodal learning
(1)
feature extraction
(1)
text generation
(1)
in-context learning
(1)
Papers
Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs
ACL 2026
Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images
ACL 2026
CODEMENV: Benchmarking Large Language Models on Code Migration
ACL 2025
Backdooring Vision-Language Models with Out-Of-Distribution Data
ICLR 2025
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
ACL 2025
Editable Concept Bottleneck Models
ICML 2025
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
ICML 2025
Understanding the Repeat Curse in Large Language Models from a Feature Perspective
ACL 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning
NAACL 2025
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach
AAAI 2025
Fair Text-to-Image Diffusion via Fair Mapping
AAAI 2025
COMPKE: Complex Question Answering under Knowledge Editing
ACL 2025
Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
EMNLP 2025
Understanding How Value Neurons Shape the Generation of Specified Values in LLMs
EMNLP 2025
Semi-supervised Concept Bottleneck Models
ICCV 2025
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
EMNLP 2024
Differentially Private Natural Language Models: Recent Advances and Future Directions
EACL 2024
Dissecting Fine-Tuning Unlearning in Large Language Models
EMNLP 2024
Private Language Models via Truncated Laplacian Mechanism
EMNLP 2024
Towards Multi-dimensional Explanation Alignment for Medical Classification
NIPS 2024
Faithful Vision-Language Interpretation via Concept Bottleneck Models
ICLR 2024
Improving Interpretation Faithfulness for Vision Transformers
ICML 2024
Faster Rates of Differentially Private Stochastic Convex Optimization
JMLR 2024
SEAT: Stable and Explainable Attention
AAAI 2023
Privacy-preserving Sparse Generalized Eigenvalue Problem
AISTATS 2023
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data
JMLR 2023
Faster Rates of Private Stochastic Convex Optimization
ALT 2022