Paper

  • 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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  • LLM-Pruner: On the Structural Pruning of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM-Pruner: On the Structural Pruning of Large Language Models

    Gongfan Fang, Xinyin Ma, Xinchao Wang p21702-21720 from Advances in Neural Information Processing Systems 36
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  • LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale

    Younes Belkada, Tim Dettmers, Mike Lewis, Luke Zettlemoyer p30318-30332 from Advances in Neural Information Processing Systems 35
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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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  • LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning

    Long Chen, Haiwen Diao, You He, Lanqing Hong, Huchuan Lu, Dong Wang, Haomiao Xiong, Jiazuo Yu, Lu Zhang, Yunzhi Zhuge p49834-49858 from Advances in Neural Information Processing Systems 37
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  • LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation

    Xiujun Li, Yujie Lu, William Yang Wang, Xin Eric Wang, Xianjun Yang p23075-23093 from Advances in Neural Information Processing Systems 36
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  • LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model

    Zecheng Hao, Tiejun Huang, Yujia Liu, Xinyu Shi, Zhaofei Yu p101905-101927 from Advances in Neural Information Processing Systems 37
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  • LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition

    Yujun Cai, Xiaofei Hui, Jun Liu, Haoxuan Qu p46491-46504 from Advances in Neural Information Processing Systems 36
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  • Lo-Hi: Practical ML Drug Discovery Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lo-Hi: Practical ML Drug Discovery Benchmark

    Simon Steshin p64526-64554 from Advances in Neural Information Processing Systems 36
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