Chaochao Lu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Adversarial Preference Learning for Robust LLM Alignment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Towards AI-45° Law: A Roadmap to Trustworthy AGI.

[BibT_eX]

[DOI]

CoRR, 2024

OASIS: Open Agent Social Interaction Simulations with One Million Agents.

[BibT_eX]

[DOI]

CoRR, 2024

Causal Evaluation of Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Distribution-consistency Structural Causal Models.

[BibT_eX]

[DOI]

Heyang Gong

Yu Zhang

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

[BibT_eX]

[DOI]

CoRR, 2024

Prediction with Action: Visual Policy Learning via Joint Denoising Process.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CLEAR: Can Language Models Really Understand Causal Graphs?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CELLO: Causal Evaluation of Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ConditionVideo: Training-Free Condition-Guided Video Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation.

[BibT_eX]

[DOI]

CoRR, 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Action-Sufficient State Representation Learning for Control with Structural Constraints.

[BibT_eX]

[DOI]

Biwei Huang

Liu Leqi

Clark Glymour

Kun Zhang

Proceedings of the International Conference on Machine Learning, 2022

Invariant Causal Representation Learning for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Yuhuai Wu

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Nonlinear Invariant Risk Minimization: A Causal Approach.

[BibT_eX]

[DOI]

Yuhuai Wu

CoRR, 2021

2020

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation.

[BibT_eX]

[DOI]

Biwei Huang

Ke Wang

Kun Zhang

CoRR, 2020

Interpreting Spatially Infinite Generative Models.

[BibT_eX]

[DOI]

CoRR, 2020

2018

Deconfounding Reinforcement Learning in Observational Settings.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Flexible Spatio-Temporal Networks for Video Prediction.

[BibT_eX]

[DOI]

Michael Hirsch

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Surpassing Human-Level Face Verification Performance on LFW with GaussianFace.

[BibT_eX]

[DOI]

Xiaoou Tang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning the Face Prior for Bayesian Face Recognition.

[BibT_eX]

[DOI]

Xiaoou Tang

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Face Recognition Using Face Patch Networks.

[BibT_eX]

[DOI]