Chaochao Lu
24 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(51)
π
Keyword Champion
(2)
π
Grand Slam
π§¬
Topic Evolution
π
Conference Pioneer
β
The Questioner
(2)
π
Trend Setter
π
Century Club
(22)
ποΈ
Keyword Collector
(91)
π₯
Unstoppable
(5)
β‘
Prolific Year
(9)
Conferences
AAAI (5)
EMNLP (4)
ICLR (4)
ICML (4)
ACL (3)
NIPS (2)
CVPR (1)
ICCV (1)
Top co-authors
Keywords
causal reasoning
(3)
reinforcement learning
(3)
prompt tuning
(2)
few-shot learning
(2)
large language model
(2)
diffusion model
(2)
language model
(2)
causal analysis
(2)
imitation learning
(1)
video prediction
(1)
image generation
(1)
visual question answering
(1)
sequential decision making
(1)
frame interpolation
(1)
benchmark evaluation
(1)
causal discovery
(1)
multimodal learning
(1)
image retrieval
(1)
preference optimization
(1)
data augmentation
(1)
Papers
SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks
AAAI 2026
DEPO: Dual-Efficiency Preference Optimization for LLM Agents
AAAI 2026
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
EMNLP 2025
ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search
ACL 2025
From Imitation to Introspection: Probing Self-Consciousness in Language Models
ACL 2025
Adversarial Preference Learning for Robust LLM Alignment
ACL 2025
ADAM: An Embodied Causal Agent in Open-World Environments
ICLR 2025
Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability
ICLR 2025
Emergent Response Planning in LLMs
ICML 2025
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
ICML 2025
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
ICML 2025
CLEAR: Can Language Models Really Understand Causal Graphs?
EMNLP 2024
ConditionVideo: Training-Free Condition-Guided Video Generation
AAAI 2024
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
AAAI 2024
Prediction with Action: Visual Policy Learning via Joint Denoising Process
NIPS 2024
CELLO: Causal Evaluation of Large Vision-Language Models
EMNLP 2024
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
EMNLP 2024
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning
AAAI 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
NIPS 2023
Action-Sufficient State Representation Learning for Control with Structural Constraints
ICML 2022
Invariant Causal Representation Learning for Out-of-Distribution Generalization
ICLR 2022
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
ICLR 2022
Flexible Spatio-Temporal Networks for Video Prediction
CVPR 2017
Face Recognition Using Face Patch Networks
ICCV 2013