Suchergebnisse: Verfasser :: Library Catalog

1

PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing Autoría: Manczak, Blazej, Zemour, Eliott, Lin, Eric, Mugunthan, Vaikkunth

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges Autoría: Eiras, Francisco, Zemour, Eliott, Lin, Eric, Mugunthan, Vaikkunth

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Autoría: Neill, James O', Subramanian, Santhosh, Lin, Eric, Mugunthan, Vaikkunth

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection Autoría: Kim, Taehyeon, Lin, Eric, Lee, Junu, Lau, Christian, Mugunthan, Vaikkunth

Veröffentlicht 2023

Fuente: arXiv

Tipo de material: Preprint

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Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMs Autoría: Manczak, Blazej, Lin, Eric, Eiras, Francisco, Neill, James O', Mugunthan, Vaikkunth

Veröffentlicht 2025

Fuente: arXiv

Tipo de material: Preprint

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Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? Autoría: Sun, Albert Yu, Zemour, Eliott, Saxena, Arushi, Vaidyanathan, Udith, Lin, Eric, Lau, Christian, Mugunthan, Vaikkunth

Veröffentlicht 2023

Fuente: arXiv

Tipo de material: Preprint

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The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue Autoría: Mehta, Ashish, Moore, Jared, Anthis, Jacy Reese, Agnew, William, Lin, Eric, Yin, Peggy, Ong, Desmond C., Haber, Nick, Dweck, Carol

Veröffentlicht 2026

Fuente: arXiv

Tipo de material: Preprint

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oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation Autoría: Li, Jianhui, Qin, Zhennan, Mei, Yijie, Cui, Jingze, Song, Yunfei, Chen, Ciyong, Zhang, Yifei, Du, Longsheng, Cheng, Xianhang, Jin, Baihui, Zhang, Yan, Ye, Jason, Lin, Eric, Lavery, Dan

Veröffentlicht 2023

Fuente: arXiv

Tipo de material: Preprint

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Characterizing Delusional Spirals through Human-LLM Chat Logs Autoría: Moore, Jared, Mehta, Ashish, Agnew, William, Anthis, Jacy Reese, Louie, Ryan, Mai, Yifan, Yin, Peggy, Cheng, Myra, Paech, Samuel J, Klyman, Kevin, Chancellor, Stevie, Lin, Eric, Haber, Nick, Ong, Desmond C.

Veröffentlicht 2026

Fuente: arXiv

Tipo de material: Preprint

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10

Distributed Quantum Computing in Silicon Autoría: Inc, Photonic, :, Afzal, Francis, Akhlaghi, Mohsen, Beale, Stefanie J., Bedroya, Olinka, Bell, Kristin, Bergeron, Laurent, Bonsma-Fisher, Kent, Bychkova, Polina, Chaisson, Zachary M. E., Chartrand, Camille, Clear, Chloe, Darcie, Adam, DeAbreu, Adam, DeLisle, Colby, Duncan, Lesley A., Smith, Chad Dundas, Dunn, John, Ebrahimi, Amir, Evetts, Nathan, Pinheiro, Daker Fernandes, Fuentes, Patricio, Georgiou, Tristen, Guha, Biswarup, Haenel, Rafael, Higginbottom, Daniel, Jackson, Daniel M., Jahed, Navid, Khorshidahmad, Amin, Shandilya, Prasoon K., Kurkjian, Alexander T. K., Lauk, Nikolai, Lee-Hone, Nicholas R., Lin, Eric, Litynskyy, Rostyslav, Lock, Duncan, Ma, Lisa, MacGilp, Iain, MacQuarrie, Evan R., Mar, Aaron, Khah, Alireza Marefat, Matiash, Alex, Meyer-Scott, Evan, Michaels, Cathryn P., Motira, Juliana, Noori, Narwan Kabir, Ospadov, Egor, Patel, Ekta, Patscheider, Alexander, Paulson, Danny, Petruk, Ariel, Ravindranath, Adarsh L., Reznychenko, Bogdan, Ruether, Myles, Ruscica, Jeremy, Saxena, Kunal, Schaller, Zachary, Seidlitz, Alex, Senger, John, Lee, Youn Seok, Sevoyan, Orbel, Simmons, Stephanie, Soykal, Oney, Stott, Leea, Tran, Quyen, Tserkis, Spyros, Ulhaq, Ata, Vine, Wyatt, Weeks, Russ, Wolfowicz, Gary, Yoneda, Isao

Veröffentlicht 2024

Fuente: arXiv

Tipo de material: Preprint

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PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing Autoría: Manczak, Blazej, Zemour, Eliott, Lin, Eric, Mugunthan, Vaikkunth

Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges Autoría: Eiras, Francisco, Zemour, Eliott, Lin, Eric, Mugunthan, Vaikkunth

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Autoría: Neill, James O', Subramanian, Santhosh, Lin, Eric, Mugunthan, Vaikkunth

Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection Autoría: Kim, Taehyeon, Lin, Eric, Lee, Junu, Lau, Christian, Mugunthan, Vaikkunth

Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMs Autoría: Manczak, Blazej, Lin, Eric, Eiras, Francisco, Neill, James O', Mugunthan, Vaikkunth

Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? Autoría: Sun, Albert Yu, Zemour, Eliott, Saxena, Arushi, Vaidyanathan, Udith, Lin, Eric, Lau, Christian, Mugunthan, Vaikkunth

The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue Autoría: Mehta, Ashish, Moore, Jared, Anthis, Jacy Reese, Agnew, William, Lin, Eric, Yin, Peggy, Ong, Desmond C., Haber, Nick, Dweck, Carol

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation Autoría: Li, Jianhui, Qin, Zhennan, Mei, Yijie, Cui, Jingze, Song, Yunfei, Chen, Ciyong, Zhang, Yifei, Du, Longsheng, Cheng, Xianhang, Jin, Baihui, Zhang, Yan, Ye, Jason, Lin, Eric, Lavery, Dan

Characterizing Delusional Spirals through Human-LLM Chat Logs Autoría: Moore, Jared, Mehta, Ashish, Agnew, William, Anthis, Jacy Reese, Louie, Ryan, Mai, Yifan, Yin, Peggy, Cheng, Myra, Paech, Samuel J, Klyman, Kevin, Chancellor, Stevie, Lin, Eric, Haber, Nick, Ong, Desmond C.

Suchergebnisse - Lin, Eric

PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing Autoría: Manczak, Blazej, Zemour, Eliott, Lin, Eric, Mugunthan, Vaikkunth

Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges Autoría: Eiras, Francisco, Zemour, Eliott, Lin, Eric, Mugunthan, Vaikkunth

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing Autoría: Neill, James O', Subramanian, Santhosh, Lin, Eric, Mugunthan, Vaikkunth

Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection Autoría: Kim, Taehyeon, Lin, Eric, Lee, Junu, Lau, Christian, Mugunthan, Vaikkunth

Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMs Autoría: Manczak, Blazej, Lin, Eric, Eiras, Francisco, Neill, James O', Mugunthan, Vaikkunth

Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? Autoría: Sun, Albert Yu, Zemour, Eliott, Saxena, Arushi, Vaidyanathan, Udith, Lin, Eric, Lau, Christian, Mugunthan, Vaikkunth

The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue Autoría: Mehta, Ashish, Moore, Jared, Anthis, Jacy Reese, Agnew, William, Lin, Eric, Yin, Peggy, Ong, Desmond C., Haber, Nick, Dweck, Carol

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation Autoría: Li, Jianhui, Qin, Zhennan, Mei, Yijie, Cui, Jingze, Song, Yunfei, Chen, Ciyong, Zhang, Yifei, Du, Longsheng, Cheng, Xianhang, Jin, Baihui, Zhang, Yan, Ye, Jason, Lin, Eric, Lavery, Dan

Characterizing Delusional Spirals through Human-LLM Chat Logs Autoría: Moore, Jared, Mehta, Ashish, Agnew, William, Anthis, Jacy Reese, Louie, Ryan, Mai, Yifan, Yin, Peggy, Cheng, Myra, Paech, Samuel J, Klyman, Kevin, Chancellor, Stevie, Lin, Eric, Haber, Nick, Ong, Desmond C.

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