Paper

  • LLEC Energy Dashboard Suite: User Engagement for Energy-Efficient Behavior Using Dashboards and Gamification

    ECOS 2023

    LLEC Energy Dashboard Suite: User Engagement for Energy-Efficient Behavior Using Dashboards and Gamification

    Eziama Ubachukwu, Jana Pick, Lea Riebesel, Paul Lieberenz, Philipp Althaus, Dirk Müller, André Xhonneux p3241-3252 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • LLM Circuit Analyses Are Consistent Across Training and Scale

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM Circuit Analyses Are Consistent Across Training and Scale

    Stella Biderman, Michael Hanna, Curt Tigges, Qinan Yu p40699-40731 from Advances in Neural Information Processing Systems 37
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  • LLM Dataset Inference: Did you train on my dataset?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM Dataset Inference: Did you train on my dataset?

    Adam Dziedzic, Hengrui Jia, Pratyush Maini, Nicolas Papernot p124069-124092 from Advances in Neural Information Processing Systems 37
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  • LLM Evaluators Recognize and Favor Their Own Generations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM Evaluators Recognize and Favor Their Own Generations

    Samuel Bowman, Shi Feng, Arjun Panickssery p68772-68802 from Advances in Neural Information Processing Systems 37
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  • LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

    John Bronskill, Dami Choi, David Duvenaud, James Requeima, Richard Turner p109609-109671 from Advances in Neural Information Processing Systems 37
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  • LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems

    Binwu Wang, Fanfu Wang, Pengkun Wang, Yang Wang, Haibin Wen, Qingfu Zhang, Zhe Zhao p64915-64941 from Advances in Neural Information Processing Systems 37
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  • LLM-based Skill Diffusion for Zero-shot Policy Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM-based Skill Diffusion for Zero-shot Policy Adaptation

    Jooyoung Kim, Woo Kyung Kim, Youngseok Lee, Honguk Woo p6749-6775 from Advances in Neural Information Processing Systems 37
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  • LLM-Check: Investigating Detection of Hallucinations in Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM-Check: Investigating Detection of Hallucinations in Large Language Models

    Siddhant Bharti, Soheil Feizi, Priyatham Kattakinda, Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan p34188-34216 from Advances in Neural Information Processing Systems 37
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  • LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation

    Qidong Liu, Feng Tian, Yejing Wang, Xian Wu, Zijian Zhang, Xiangyu Zhao, Yefeng Zheng p26701-26727 from Advances in Neural Information Processing Systems 37
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  • LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment

    Yifu Ding, Jinyang Guo, Changyi He, Pengliang Ji, Aishan Liu, Xianglong Liu, Haotong Qin, Jianyu Wu, Ge Yang p87532-87544 from Advances in Neural Information Processing Systems 37
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  • LLMDFA: Analyzing Dataflow in Code with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLMDFA: Analyzing Dataflow in Code with Large Language Models

    Zian Su, Chengpeng Wang, Xiaoheng Xie, Xiangzhe Xu, Wuqi Zhang, Xiangyu Zhang p131545-131574 from Advances in Neural Information Processing Systems 37
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  • LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings

    Fengzhi Li, Duo Wang, Junjie Wu, Yuan Zuo p5950-5973 from Advances in Neural Information Processing Systems 37
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