Jiang, Yibo

20 publications

ICLR 2025 Quantifying Generalization Complexity for Large Language Models Zhenting Qi, Hongyin Luo, Xuliang Huang, Zhuokai Zhao, Yibo Jiang, Xiangjun Fan, Himabindu Lakkaraju, James R. Glass

ICLR 2025 The Geometry of Categorical and Hierarchical Concepts in Large Language Models Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch

ICML 2025 The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them) Zihao Wang, Yibo Jiang, Jiahao Yu, Heqing Huang

ICLR 2024 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen

NeurIPSW 2024 Direct Acquisition Optimization for Low-Budget Active Learning Zhuokai Zhao, Yibo Jiang, Yuxin Chen

NeurIPS 2024 Do LLMs Dream of Elephants (when Told Not to)? Latent Concept Association and Associative Memory in Transformers Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam

ICMLW 2024 Do LLMs Dream of Elephants (when Told Not to)? Latent Concept Association and Associative Memory in Transformers Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam

ICMLW 2024 Do LLMs Dream of Elephants (when Told Not to)? Latent Concept Association and Associative Memory in Transformers Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam

NeurIPSW 2024 Do LLMs Dream of Elephants (when Told Not to)? Latent Concept Association and Associative Memory in Transformers Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam

ICML 2024 On the Origins of Linear Representations in Large Language Models Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam, Victor Veitch

ICMLW 2024 The Geometry of Categorical and Hierarchical Concepts in Large Language Models Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch

ICMLW 2024 The Geometry of Categorical and Hierarchical Concepts in Large Language Models Kiho Park, Yo Joong Choe, Yibo Jiang, Victor Veitch

NeurIPSW 2023 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen

NeurIPSW 2023 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen

NeurIPS 2023 Learning Nonparametric Latent Causal Graphs with Unknown Interventions Yibo Jiang, Bryon Aragam

NeurIPS 2023 Uncovering Meanings of Embeddings via Partial Orthogonality Yibo Jiang, Bryon Aragam, Victor Veitch

NeurIPS 2022 Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang, Victor Veitch

ICMLW 2022 Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang, Victor Veitch

ICML 2020 Associative Memory in Iterated Overparameterized Sigmoid Autoencoders Yibo Jiang, Cengiz Pehlevan

AAAI 2018 StackReader: An RNN-Free Reading Comprehension Model Yibo Jiang, Zhou Zhao