Risultati della ricerca - Tan, Lin

CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations di Qian, Shangshu, Tan, Lin, Zhang, Yongle

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CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble di Rosenthal, Jonathan, Liang, Shanchao, Zhang, Kevin, Tan, Lin

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Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code di Jiang, Nan, Li, Qi, Tan, Lin, Zhang, Tianyi

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WAFFLE: Finetuning Multi-Modal Models for Automated Front-End Development di Liang, Shanchao, Jiang, Nan, Qian, Shangshu, Tan, Lin

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Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet' di Liang, Shanchao, Hu, Yiran, Jiang, Nan, Tan, Lin

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LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement di Jiang, Nan, Liang, Shanchao, Wang, Chengxiao, Wang, Jiannan, Tan, Lin

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TENET: Leveraging Tests Beyond Validation for Code Generation di Hu, Yiran, Jiang, Nan, Liang, Shanchao, Wu, Yi, Tan, Lin

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ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair di Lutellier, Thibaud, Pang, Lawrence, Pham, Viet Hung, Wei, Moshi, Tan, Lin

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Scalar-Gauss-Bonnet gravity: Infrared causality and detectability of GW observations di Nie, Wen-Kai, Tan, Lin-Tao, Zhang, Jun, Zhou, Shuang-Yong

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Towards Resiliency in Large Language Model Serving with KevlarFlow di Qian, Shangshu, Liu, Kipling, Sruthi, P. C., Tan, Lin, Zhang, Yongle

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Unified Software Engineering Agent as AI Software Engineer di Applis, Leonhard, Zhang, Yuntong, Liang, Shanchao, Jiang, Nan, Tan, Lin, Roychoudhury, Abhik

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How Effective are Large Language Models in Generating Software Specifications? di Xie, Danning, Yoo, Byungwoo, Jiang, Nan, Kim, Mijung, Tan, Lin, Zhang, Xiangyu, Lee, Judy S.

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Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning di Jiang, Nan, Wang, Chengxiao, Liu, Kevin, Xu, Xiangzhe, Tan, Lin, Zhang, Xiangyu, Babkin, Petr

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Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison di Wang, Ruixin, Zhao, Zhongkai, Fang, Le, Jiang, Nan, Lou, Yiling, Tan, Lin, Zhang, Tianyi

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Leveraging Interview-Informed LLMs to Model Survey Responses: Comparative Insights from AI-Generated and Human Data di Zhang, Jihong, Liang, Xinya, Deng, Anqi, Bonge, Nicole, Tan, Lin, Zhang, Ling, Zarrett, Nicole

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CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks di Xie, Danning, Zheng, Mingwei, Liu, Xuwei, Wang, Jiannan, Wang, Chengpeng, Tan, Lin, Zhang, Xiangyu

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Setting the stage: Building and maintaining a habitable world and the early conditions that could favor life's beginnings on Earth and beyond di Jones, Christopher K, Leung, Michaela, Tu, Chenyi, Ebadirad, Saleheh, Marshall, Nate, Tan, Lin, Lyons, Tim

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When Automated Program Repair Meets Regression Testing -- An Extensive Study on 2 Million Patches di Lou, Yiling, Yang, Jun, Benton, Samuel, Hao, Dan, Tan, Lin, Chen, Zhenpeng, Zhang, Lu, Zhang, Lingming

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DocTer: Documentation Guided Fuzzing for Testing Deep Learning API Functions di Xie, Danning, Li, Yitong, Kim, Mijung, Pham, Hung Viet, Tan, Lin, Zhang, Xiangyu, Godfrey, Michael W.

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SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models di Wu, Yi, Xiong, Zikang, Hu, Yiran, Iyengar, Shreyash S., Jiang, Nan, Bera, Aniket, Tan, Lin, Jagannathan, Suresh

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