default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFurong Huang
Person information
- affiliation: University of Maryland, College Park, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j13]Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu:
A survey of recent methods for addressing AI fairness and bias in biomedicine. J. Biomed. Informatics 154: 104646 (2024)- [j12]Furong Huang:
Industrial technology network security measurement in international trade under discrete hopfield neural network. J. Comput. Methods Sci. Eng. 24(2): 657-674 (2024) - [c73]Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang:
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) 2024: 416-442 - [c72]Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang:
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. ACL (1) 2024: 478-492 - [c71]Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou:
Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. CVPR 2024: 14375-14385 - [c70]Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang:
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. EMNLP (Findings) 2024: 3315-3333 - [c69]Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan L. Boyd-Graber, Tianyi Zhou, Dinesh Manocha:
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. EMNLP (Findings) 2024: 8395-8419 - [c68]Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang:
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. ICLR 2024 - [c67]Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang:
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR 2024 - [c66]Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang:
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR 2024 - [c65]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer:
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. ICLR 2024 - [c64]Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang:
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL. ICLR 2024 - [c63]Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang:
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. ICLR 2024 - [c62]Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras:
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. ICLR 2024 - [c61]Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang:
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. ICLR 2024 - [c60]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR 2024 - [c59]Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos:
Decodable and Sample Invariant Continuous Object Encoder. ICLR 2024 - [c58]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
WAVES: Benchmarking the Robustness of Image Watermarks. ICML 2024 - [c57]Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
Position: On the Possibilities of AI-Generated Text Detection. ICML 2024 - [c56]Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang:
MaxMin-RLHF: Alignment with Diverse Human Preferences. ICML 2024 - [c55]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c54]Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu:
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. ICML 2024 - [c53]Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang:
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. ICML 2024 - [c52]Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos:
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). ICML 2024 - [c51]Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov:
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control. ICML 2024 - [c50]Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang:
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. ICML 2024 - [i125]Tahseen Rabbani, Jiahao Su, Xiaoyu Liu, David Chan, Geoffrey Sangston, Furong Huang:
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. CoRR abs/2401.03384 (2024) - [i124]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i123]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
Benchmarking the Robustness of Image Watermarks. CoRR abs/2401.08573 (2024) - [i122]Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang:
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. CoRR abs/2401.10529 (2024) - [i121]Yifan Yang, Xiaoyu Liu, Qiao Jin, Furong Huang, Zhiyong Lu:
Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation. CoRR abs/2401.13867 (2024) - [i120]Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang:
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR abs/2402.06187 (2024) - [i119]Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang:
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. CoRR abs/2402.06659 (2024) - [i118]Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu:
A survey of recent methods for addressing AI fairness and bias in biomedicine. CoRR abs/2402.08250 (2024) - [i117]Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang
:
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. CoRR abs/2402.08925 (2024) - [i116]Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov:
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR abs/2402.10450 (2024) - [i115]Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang:
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. CoRR abs/2402.12673 (2024) - [i114]Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu:
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR abs/2402.14528 (2024) - [i113]Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang:
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR abs/2403.09606 (2024) - [i112]Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos:
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). CoRR abs/2404.01568 (2024) - [i111]Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang:
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? CoRR abs/2405.13879 (2024) - [i110]Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao:
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. CoRR abs/2405.15973 (2024) - [i109]Mucong Ding, Yinhan He, Jundong Li, Furong Huang:
Spectral Greedy Coresets for Graph Neural Networks. CoRR abs/2405.17404 (2024) - [i108]Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang:
Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR abs/2405.17535 (2024) - [i107]Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang:
Transfer Q Star: Principled Decoding for LLM Alignment. CoRR abs/2405.20495 (2024) - [i106]Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu:
World Models with Hints of Large Language Models for Goal Achieving. CoRR abs/2406.07381 (2024) - [i105]Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan Lee Boyd-Graber, Tianyi Zhou, Dinesh Manocha:
AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. CoRR abs/2406.10900 (2024) - [i104]Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang:
Is poisoning a real threat to LLM alignment? Maybe more so than you think. CoRR abs/2406.12091 (2024) - [i103]Yifan Yang, Qiao Jin, Furong Huang, Zhiyong Lu:
Adversarial Attacks on Large Language Models in Medicine. CoRR abs/2406.12259 (2024) - [i102]Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang:
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. CoRR abs/2406.13114 (2024) - [i101]Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit S. Bedi, Furong Huang:
SAIL: Self-Improving Efficient Online Alignment of Large Language Models. CoRR abs/2406.15567 (2024) - [i100]Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang:
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR abs/2406.15575 (2024) - [i99]Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu:
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. CoRR abs/2407.10973 (2024) - [i98]Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang:
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? CoRR abs/2407.17417 (2024) - [i97]Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang:
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. CoRR abs/2409.00598 (2024) - [i96]Xiaoyu Liu, Jiaxin Yuan, Yuhang Zhou, Jingling Li, Furong Huang, Wei Ai:
CSRec: Rethinking Sequential Recommendation from A Causal Perspective. CoRR abs/2409.05872 (2024) - [i95]Kyle Sang, Tahseen Rabbani, Furong Huang:
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise. CoRR abs/2409.13235 (2024) - [i94]Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Anima Anandkumar, Furong Huang:
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization. CoRR abs/2409.18433 (2024) - [i93]Marco Bornstein, Zora Che, Suhas Julapalli, Abdirisak Mohamed, Amrit Singh Bedi, Furong Huang:
Auction-Based Regulation for Artificial Intelligence. CoRR abs/2410.01871 (2024) - [i92]Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang:
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. CoRR abs/2410.02512 (2024) - [i91]Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar:
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance. CoRR abs/2410.02581 (2024) - [i90]Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang:
EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM? CoRR abs/2410.04571 (2024) - [i89]Xiyao Wang, Linfeng Song, Ye Tian, Dian Yu, Baolin Peng, Haitao Mi, Furong Huang, Dong Yu:
Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning. CoRR abs/2410.06508 (2024) - [i88]Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh:
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment. CoRR abs/2410.08193 (2024) - [i87]Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess, Furong Huang:
AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment. CoRR abs/2410.11283 (2024) - [i86]Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla:
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. CoRR abs/2411.00401 (2024) - [i85]Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao:
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. CoRR abs/2411.03554 (2024) - [i84]Yifan Yang, Qiao Jin, Robert Leaman, Xiaoyu Liu, Guangzhi Xiong, Maame Sarfo-Gyamfi, Changlin Gong, Santiago Ferrière-Steinert, W. John Wilbur, Xiaojun Li, Jiaxin Yuan, Bang An, Kelvin S. Castro, Francisco Erramuspe Álvarez, Matías Stockle, Aidong Zhang, Furong Huang, Zhiyong Lu:
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine. CoRR abs/2411.14487 (2024) - [i83]Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi:
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. CoRR abs/2411.18688 (2024) - [i82]Xiyao Wang, Zhengyuan Yang, Linjie Li, Hongjin Lu, Yuancheng Xu, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang:
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension. CoRR abs/2412.03704 (2024) - [i81]James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah:
LIAR: Leveraging Alignment (Best-of-N) to Jailbreak LLMs in Seconds. CoRR abs/2412.05232 (2024) - [i80]Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - [i79]Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang:
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. CoRR abs/2412.10345 (2024) - 2023
- [j11]Haiqiong Yan, Shuang Tang, Furong Huang:
Temporal expectations mediated the repetition effect in a sequence in two ways. Cogn. Process. 24(4): 463-469 (2023) - [j10]Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit S. Bedi:
A Survey on the Possibilities & Impossibilities of AI-generated Text Detection. Trans. Mach. Learn. Res. 2023 (2023) - [c49]Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI 2023: 6980-6988 - [c48]Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang:
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. ICLR 2023 - [c47]Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor:
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. ICLR 2023 - [c46]Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang:
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. ICLR 2023 - [c45]Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang:
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. ICLR 2023 - [c44]Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang:
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. ICLR 2023 - [c43]Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha:
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. ICML 2023: 3949-3978 - [c42]Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang:
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy. ICML 2023: 36470-36493 - [c41]Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong:
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. ICML 2023: 42915-42937 - [c40]Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise. NeurIPS 2023 - [c39]Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang:
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. NeurIPS 2023 - [c38]Tahseen Rabbani, Marco Bornstein, Furong Huang:
Large-Scale Distributed Learning via Private On-Device LSH. NeurIPS 2023 - [c37]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS 2023 - [i78]Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor:
SMART: Self-supervised Multi-task pretrAining with contRol Transformers. CoRR abs/2301.09816 (2023) - [i77]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha:
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. CoRR abs/2301.12038 (2023) - [i76]Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang:
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. CoRR abs/2302.01244 (2023) - [i75]Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang:
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. CoRR abs/2302.03015 (2023) - [i74]Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
On the Possibilities of AI-Generated Text Detection. CoRR abs/2304.04736 (2023) - [i73]Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang:
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. CoRR abs/2305.15622 (2023) - [i72]Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang:
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL. CoRR abs/2305.17342 (2023) - [i71]Tahseen Rabbani, Marco Bornstein, Furong Huang:
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing. CoRR abs/2306.02563 (2023) - [i70]Peijian Ding, Davit Soselia, Thomas Armstrong, Jiahao Su, Furong Huang:
Reviving Shift Equivariance in Vision Transformers. CoRR abs/2306.07470 (2023) - [i69]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR abs/2306.13229 (2023) - [i68]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer:
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR abs/2307.12062 (2023) - [i67]Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang:
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. CoRR abs/2308.01313 (2023) - [i66]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang:
Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR abs/2308.02585 (2023) - [i65]Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang:
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR abs/2309.03426 (2023) - [i64]Zhili Zhang, Yanchao Sun, Furong Huang, Fei Miao:
Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations. CoRR abs/2309.11057 (2023) - [i63]Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang:
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. CoRR abs/2310.07220 (2023) - [i62]Aakriti Agrawal, Rohith Aralikatti, Yanchao Sun, Furong Huang:
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning. CoRR abs/2310.08746 (2023) - [i61]Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan:
Progressively Efficient Learning. CoRR abs/2310.13004 (2023) - [i60]Marco Bornstein, Amrit Singh Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang:
RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation. CoRR abs/2310.13681 (2023) - [i59]Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun:
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR abs/2310.15140 (2023) - [i58]Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Singh Bedi:
Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey. CoRR abs/2310.15264 (2023) - [i57]Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang:
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. CoRR abs/2310.17325 (2023) - [i56]