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Anna Goldie
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2020 – today
- 2024
- [c11]Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher D. Manning:
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval. ICLR 2024 - [i16]Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher D. Manning:
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval. CoRR abs/2401.18059 (2024) - [i15]Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher D. Manning:
h4rm3l: A Dynamic Benchmark of Composable Jailbreak Attacks for LLM Safety Assessment. CoRR abs/2408.04811 (2024) - 2023
- [i14]Deep Ganguli, Amanda Askell, Nicholas Schiefer, Thomas I. Liao, Kamile Lukosiute, Anna Chen, Anna Goldie, Azalia Mirhoseini, Catherine Olsson, Danny Hernandez, Dawn Drain, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jackson Kernion, Jamie Kerr, Jared Mueller, Joshua Landau, Kamal Ndousse, Karina Nguyen, Liane Lovitt, Michael Sellitto, Nelson Elhage, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robert Lasenby, Robin Larson, Sam Ringer, Sandipan Kundu, Saurav Kadavath, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Christopher Olah, Jack Clark, Samuel R. Bowman, Jared Kaplan:
The Capacity for Moral Self-Correction in Large Language Models. CoRR abs/2302.07459 (2023) - [i13]Sandipan Kundu, Yuntao Bai, Saurav Kadavath, Amanda Askell, Andrew Callahan, Anna Chen, Anna Goldie, Avital Balwit, Azalia Mirhoseini, Brayden McLean, Catherine Olsson, Cassie Evraets, Eli Tran-Johnson, Esin Durmus, Ethan Perez, Jackson Kernion, Jamie Kerr, Kamal Ndousse, Karina Nguyen, Nelson Elhage, Newton Cheng, Nicholas Schiefer, Nova DasSarma, Oliver Rausch, Robin Larson, Shannon Yang, Shauna Kravec, Timothy Telleen-Lawton, Thomas I. Liao, Tom Henighan, Tristan Hume, Zac Hatfield-Dodds, Sören Mindermann, Nicholas Joseph, Sam McCandlish, Jared Kaplan:
Specific versus General Principles for Constitutional AI. CoRR abs/2310.13798 (2023) - 2022
- [c10]Ahmet Faruk Budak, Zixuan Jiang, Keren Zhu
, Azalia Mirhoseini, Anna Goldie, David Z. Pan:
Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). ASP-DAC 2022: 500-505 - [c9]Dan Zhang
A full-stack search technique for domain optimized deep learning accelerators. ASPLOS 2022: 27-42 - [c8]Summer Yue, Ebrahim M. Songhori, Joe Wenjie Jiang, Toby Boyd, Anna Goldie, Azalia Mirhoseini, Sergio Guadarrama:
Scalability and Generalization of Circuit Training for Chip Floorplanning. ISPD 2022: 65-70 - [i12]Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez, Edwin Chen, Craig Pettit, Scott Heiner, Kamile Lukosiute, Amanda Askell, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Christopher Olah, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Jackson Kernion, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Liane Lovitt, Nelson Elhage, Nicholas Schiefer, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Robin Larson, Sam McCandlish, Sandipan Kundu, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Jared Kaplan:
Measuring Progress on Scalable Oversight for Large Language Models. CoRR abs/2211.03540 (2022) - [i11]Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosiute, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemí Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Jared Kaplan:
Constitutional AI: Harmlessness from AI Feedback. CoRR abs/2212.08073 (2022) - 2021
- [j1]Azalia Mirhoseini
A graph placement methodology for fast chip design. Nat. 594(7862): 207-212 (2021) - [c7]Anna Goldie, Azalia Mirhoseini:
Reinforcement Learning for Placement Optimization. ISPD 2021: 5 - [c6]Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan:
Delving into Macro Placement with Reinforcement Learning. MLCAD 2021: 1-3 - [i10]Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Quoc V. Le, Anna Goldie, Azalia Mirhoseini:
A Full-stack Accelerator Search Technique for Vision Applications. CoRR abs/2105.12842 (2021) - [i9]Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan:
Delving into Macro Placement with Reinforcement Learning. CoRR abs/2109.02587 (2021) - 2020
- [c5]Anna Goldie, Azalia Mirhoseini:
Placement Optimization with Deep Reinforcement Learning. ISPD 2020: 3-7 - [c4]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon:
Transferable Graph Optimizers for ML Compilers. NeurIPS 2020 - [i8]Anna Goldie, Azalia Mirhoseini:
Placement Optimization with Deep Reinforcement Learning. CoRR abs/2003.08445 (2020) - [i7]Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe W. J. Jiang, Ebrahim M. Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Sungmin Bae, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Anand Babu, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean:
Chip Placement with Deep Reinforcement Learning. CoRR abs/2004.10746 (2020) - [i6]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon:
Transferable Graph Optimizers for ML Compilers. CoRR abs/2010.12438 (2020)
2010 – 2019
- 2019
- [i5]Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini:
GAP: Generalizable Approximate Graph Partitioning Framework. CoRR abs/1903.00614 (2019) - [i4]Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon:
GDP: Generalized Device Placement for Dataflow Graphs. CoRR abs/1910.01578 (2019) - [i3]Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini:
Generalized Clustering by Learning to Optimize Expected Normalized Cuts. CoRR abs/1910.07623 (2019) - 2018
- [c3]Azalia Mirhoseini, Anna Goldie, Hieu Pham, Benoit Steiner, Quoc V. Le, Jeff Dean:
A Hierarchical Model for Device Placement. ICLR (Poster) 2018 - 2017
- [c2]Yuanlong Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, Ray Kurzweil:
Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models. EMNLP 2017: 2210-2219 - [i2]Louis Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, Ray Kurzweil:
Generating Long and Diverse Responses with Neural Conversation Models. CoRR abs/1701.03185 (2017) - [i1]Denny Britz, Anna Goldie, Minh-Thang Luong, Quoc V. Le:
Massive Exploration of Neural Machine Translation Architectures. CoRR abs/1703.03906 (2017)
2000 – 2009
- 2009
- [c1]Yushi Xu, Anna Goldie, Stephanie Seneff:
Automatic question generation and answer judging: a q&a game for language learning. SLaTE 2009: 57-60
Coauthor Index
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last updated on 2024-10-01 21:37 CEST by the dblp team
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