Yujia Bao - RankMe

39 papers A* 8Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition. CoRR Minxue Tang, Yangyang Yu, Aolin Ding, Maziyar Baran Pouyan, Taha Belkhouja, Yujia Bao
2026	J	`jnl`	Ares: Adaptive Reasoning Effort Selection for Efficient LLM Agents. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang
2026	J	`jnl`	Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop. CoRR Yaxuan Wang, Zhongteng Cai, Yujia Bao, Xueru Zhang, Yang Liu
2025	J	`jnl`	Advertising in AI systems: Society must be vigilant. CoRR Menghua Wu, Yujia Bao
2025	J	`jnl`	Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control. CoRR Alireza Rezazadeh, Zichao Li, Ange Lou, Yuying Zhao, Wei Wei, Yujia Bao
2025	J	`jnl`	DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning. CoRR Yaxuan Wang, Chris Yuhao Liu, Quan Liu, Jinglong Pang, Wei Wei, Yujia Bao, Yang Liu
2025	—	`conf`	Enhancing Retrieval Systems with Inference-Time Logical Reasoning. ACL (2) Felix Faltings, Wei Wei, Yujia Bao
2025	J	`jnl`	Enhancing Retrieval Systems with Inference-Time Logical Reasoning. CoRR Felix Faltings, Wei Wei, Yujia Bao
2025	J	`jnl`	Enhancing Retrieval for ESGLLM via ESG-CID - A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS. CoRR Shafiuddin Rehan Ahmed, Ankit Parag Shah, Quan Hung Tran, Vivek Khetan, Sukryool Kang, Ankit Mehta, Yujia Bao, Wei Wei
2025	A*	`conf`	From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs. ICLR Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao
2025	J	`jnl`	H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking. CoRR Martin Kuo, Jianyi Zhang, Aolin Ding, Qinsi Wang, Louis DiValentin, Yujia Bao, Wei Wei, Hai Li, Yiran Chen
2025	A*	`conf`	Improving Data Efficiency via Curating LLM-Driven Rating Systems. ICLR Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
2025	J	`jnl`	KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang
2025	A*	`conf`	LLM Unlearning via Loss Adjustment with Only Forget Data. ICLR Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei
2025	J	`jnl`	MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers. CoRR Zhenting Wang, Qi Chang, Hemani Patel, Shashank Biju, Cheng-En Wu, Quan Liu, Aolin Ding, Alireza Rezazadeh, Ankit Shah, Yujia Bao, Eugene Siow
2025	J	`jnl`	PromptBridge: Cross-Model Prompt Transfer for Large Language Models. CoRR Yaxuan Wang, Quan Liu, Zhenting Wang, Zichao Li, Wei Wei, Yang Liu, Yujia Bao
2025	J	`jnl`	SFT-GO: Supervised Fine-Tuning with Group Optimization for Large Language Models. CoRR Gyuhak Kim, Sumiran Thakur, Su Min Park, Wei Wei, Yujia Bao
2025	J	`jnl`	Sample, estimate, aggregate: A recipe for causal discovery foundation models. Trans. Mach. Learn. Res. Menghua Wu, Yujia Bao, Regina Barzilay, Tommi S. Jaakkola
2025	J	`jnl`	WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks. CoRR Jingbo Yang, Bairu Hou, Wei Wei, Shiyu Chang, Yujia Bao
2024	A*	`conf`	Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words. ICLR Yujia Bao, Srinivasan Sivanandan, Theofanis Karaletsos
2024	J	`jnl`	From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs. CoRR Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao
2024	J	`jnl`	Harnessing Business and Media Insights with Large Language Models. CoRR Yujia Bao, Ankit Parag Shah, Neeru Narang, Jonathan Rivers, Rajeev Maksey, Lan Guan, Louise N. Barrere, Shelley Evenson, Rahul Basole, Connie Miao, Ankit Mehta, Fabien Boulay, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei
2024	J	`jnl`	Improving Data Efficiency via Curating LLM-Driven Rating Systems. CoRR Jinlong Pang, Jiaheng Wei, Ankit Parag Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
2024	J	`jnl`	LLM Unlearning via Loss Adjustment with Only Forget Data. CoRR Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei
2024	J	`jnl`	Sample, estimate, aggregate: A recipe for causal discovery foundation models. CoRR Menghua Wu, Yujia Bao, Regina Barzilay, Tommi S. Jaakkola
2023	J	`jnl`	Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words. CoRR Yujia Bao, Srinivasan Sivanandan, Theofanis Karaletsos
2023	J	`jnl`	Contextual Vision Transformers for Robust Representation Learning. CoRR Yujia Bao, Theofanis Karaletsos
2022	—	`—`	Efficient and Robust Algorithms for Practical Machine Learning Yujia Bao
2022	A*	`conf`	Learning Stable Classifiers by Transferring Unstable Features. ICML Yujia Bao, Shiyu Chang, Regina Barzilay
2022	J	`jnl`	Learning to Split for Automatic Bias Detection. CoRR Yujia Bao, Regina Barzilay
2021	J	`jnl`	Learning Stable Classifiers by Transferring Unstable Features. CoRR Yujia Bao, Shiyu Chang, Regina Barzilay
2021	A*	`conf`	Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. ICML Yujia Bao, Shiyu Chang, Regina Barzilay
2021	J	`jnl`	Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. CoRR Yujia Bao, Shiyu Chang, Regina Barzilay
2020	A*	`conf`	Few-shot Text Classification with Distributional Signatures. ICLR Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay
2019	J	`jnl`	Few-shot Text Classification with Distributional Signatures. CoRR Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay
2019	J	`jnl`	Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes. CoRR Yujia Bao, Zhengyi Deng, Yan Wang, Heeyoon Kim, Victor Diego Armengol, Francisco Acevedo, Nofal Ouardaoui, Cathy Wang, Giovanni Parmigiani, Regina Barzilay, Danielle Braun, Kevin S. Hughes
2018	A*	`conf`	Deriving Machine Attention from Human Rationales. EMNLP Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay
2018	J	`jnl`	Deriving Machine Attention from Human Rationales. CoRR Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay
2017	—	`conf`	Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. MLHC Yujia Bao, Zhaobin Kuang, Peggy L. Peissig, David Page, Rebecca Willett