Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones

    Parsa Mirtaheri, Ezra Edelman, Samy Jelassi, Eran Malach, Enric Boix-Adserà p184887-184918 from Advances in Neural Information Processing Systems 38
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  • Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets

    Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan p11952-11969 from Advances in Neural Information Processing Systems 36
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  • Let the LLM Stick to Its Strengths: Learning to Route Economical LLM

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Let the LLM Stick to Its Strengths: Learning to Route Economical LLM

    Yi-Kai Zhang, Shiyin Lu, Qingguo Chen, Weihua Luo, De-Chuan Zhan, Han-Jia Ye p37769-37788 from Advances in Neural Information Processing Systems 38
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  • Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation

    Zhe Kong, Feng Gao, Yong Zhang, Zhuoliang Kang, Xiaoming Wei, Xunliang Cai, Guanying Chen, Wenhan Luo p79080-79103 from Advances in Neural Information Processing Systems 38
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  • Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs

    Zhiyi Lyu, Jianguo Huang, Yanchen Deng, Steven Hoi, Bo An p175285-175309 from Advances in Neural Information Processing Systems 38
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  • Lethal Dose Conjecture on Data Poisoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lethal Dose Conjecture on Data Poisoning

    Wenxiao Wang, Alexander Levine, Soheil Feizi p1776-1789 from Advances in Neural Information Processing Systems 35
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  • Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

    Xu Yang, Yingzhe Peng, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, Hanwang Zhang p100341-100368 from Advances in Neural Information Processing Systems 37
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  • Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals

    Lisa Bedin, Gabriel Cardoso, Josselin Duchateau, Remi Dubois, Eric Moulines p84409-84446 from Advances in Neural Information Processing Systems 37
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  • Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning

    Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li p115208-115232 from Advances in Neural Information Processing Systems 37
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  • Leveraging Conditional Dependence for Efficient World Model Denoising

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Conditional Dependence for Efficient World Model Denoising

    Shaowei Zhang, Jiahan Cao, Dian Cheng, Xunlan Zhou, Shenghua Wan, Le Gan, De-Chuan Zhan p85296-85329 from Advances in Neural Information Processing Systems 38
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  • Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers

    Jinsong Chen, Hanpeng Liu, John Hopcroft, Kun He p85824-85845 from Advances in Neural Information Processing Systems 37
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  • Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation

    Siyu Chen, Ting Han, Chengzheng Fu, Changshe Zhang, Chaolei Wang, Jinhe Su, Guorong Cai, Meiliu Wu p167194-167213 from Advances in Neural Information Processing Systems 38
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  • Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models

    Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li p107662-107702 from Advances in Neural Information Processing Systems 37
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  • Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis

    Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim p1229-1244 from Advances in Neural Information Processing Systems 36
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  • Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models

    Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao p38960-39008 from Advances in Neural Information Processing Systems 37
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  • Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

    Shengpu Tang, Maggie Makar, Michael Sjoding, Finale Doshi-Velez, Jenna Wiens p34272-34286 from Advances in Neural Information Processing Systems 35
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  • Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation

    Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong p107171-107197 from Advances in Neural Information Processing Systems 37
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  • Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models

    Yi Liu, Dianqing Liu, Mingye Zhu, Junbo Guo, Yongdong Zhang, Zhendong Mao p92775-92802 from Advances in Neural Information Processing Systems 38
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  • Leveraging Inter-Layer Dependency for Post -Training Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Inter-Layer Dependency for Post -Training Quantization

    Changbao Wang, Dandan Zheng, Yuanliu Liu, Liang Li p6666-6679 from Advances in Neural Information Processing Systems 35
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  • Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression

    Robert Allison, Anthony Stephenson, Samuel F, Edward O Pyzer-Knapp p18906-18931 from Advances in Neural Information Processing Systems 36
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  • Leveraging partial stragglers within gradient coding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging partial stragglers within gradient coding

    Aditya Ramamoorthy, Ruoyu Meng, Vrinda Girimaji p60382-60402 from Advances in Neural Information Processing Systems 37
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  • Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

    Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati p79081-79094 from Advances in Neural Information Processing Systems 36
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  • Leveraging robust optimization for llm alignment under distribution shifts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging robust optimization for llm alignment under distribution shifts

    Mingye Zhu, Yi Liu, Zheren Fu, Yongdong Zhang, Zhendong Mao p189649-189675 from Advances in Neural Information Processing Systems 38
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  • Leveraging semantic similarity for experimentation with AI-generated treatments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging semantic similarity for experimentation with AI-generated treatments

    Lei Shi, David Arbour, Raghavendra Addanki, Ritwik Sinha, Avi Feller p149340-149370 from Advances in Neural Information Processing Systems 38
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