Chaochao Lu

Research Scientist@Shanghai AI Laboratory ·中国·OpenReview

研究方向

causal machine learning · causal reasoning · large language models · multi-model large models · causal inference · reinforcement learning · Bayesian neural networks · deep learning · video prediction · GANs · face verification · face recognition · Gaussian processes · Bayesian nonparametrics

Chaochao Lu

UniCoD: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning

Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation

VLSA: Enhancing Vision-Language Understanding via Perception and Cognition Alignment

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs

ReSaM: Representation-Level Safety Margin Alignment for Vision–Language Models

Native Reasoning Models: Training Language Models to Reason on Unverifiable Data

Advancing LLM Reasoning with Natural Language and Numerical Feedback

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning

VRPRM: Process Reward Modeling via Visual Reasoning

Can LLMs Serve as Causal Inference Agents? A Study on Post-Training Methods

HVCR: Causal Evaluation of Large Multimodal Models in Human-like Video Reasoning

Emergent Response Planning in LLMs

VLMs can Aggregate Scattered Training Patches

Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?

From Imitation to Introspection: Probing Self-Consciousness in Language Models

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability

ADAM: An Embodied Causal Agent in Open-World Environments