Automatic question generation and answer judging: a q&a game for language learning. - Yushi Xu; Anna Goldie; Stephanie Seneff (SLaTE, 2009)

Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models. - Yuanlong Shao; Stephan Gouws; Denny Britz; Anna Goldie; Brian Strope; Ray Kurzweil (EMNLP, 2017)

Massive Exploration of Neural Machine Translation Architectures. - Denny Britz; Anna Goldie; Minh-Thang Luong; Quoc V. Le (CoRR, 2017)

Generating Long and Diverse Responses with Neural Conversation Models. - Louis Shao; Stephan Gouws; Denny Britz; Anna Goldie; Brian Strope; Ray Kurzweil (CoRR, 2017)

A Hierarchical Model for Device Placement. - Azalia Mirhoseini; Anna Goldie; Hieu Pham 001; Benoit Steiner; Quoc V. Le; Jeff Dean (ICLR (Poster), 2018)

GAP: Generalizable Approximate Graph Partitioning Framework. - Azade Nazi; Will Hang; Anna Goldie; Sujith Ravi; Azalia Mirhoseini (CoRR, 2019)

GDP: Generalized Device Placement for Dataflow Graphs. - Yanqi Zhou; Sudip Roy 002; AmirAli Abdolrashidi; Daniel Lin-Kit Wong; Peter C. Ma; Qiumin Xu; Ming Zhong; Hanxiao Liu; Anna Goldie; Azalia Mirhoseini; James Laudon (CoRR, 2019)

Generalized Clustering by Learning to Optimize Expected Normalized Cuts. - Azade Nazi; Will Hang; Anna Goldie; Sujith Ravi; Azalia Mirhoseini (CoRR, 2019)

Placement Optimization with Deep Reinforcement Learning. - Anna Goldie; Azalia Mirhoseini (ISPD, 2020)

Transferable Graph Optimizers for ML Compilers. - Yanqi Zhou; Sudip Roy 002; AmirAli Abdolrashidi; Daniel Wong 001; Peter C. Ma; Qiumin Xu; Hanxiao Liu; Mangpo Phitchaya Phothilimtha; Shen Wang; Anna Goldie; Azalia Mirhoseini; James Laudon (NeurIPS, 2020)

Chip Placement with Deep Reinforcement Learning. - 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; et al. (CoRR, 2020)

Reinforcement Learning for Placement Optimization. - Anna Goldie; Azalia Mirhoseini (ISPD, 2021)

Delving into Macro Placement with Reinforcement Learning. - Zixuan Jiang; Ebrahim M. Songhori; Shen Wang; Anna Goldie; Azalia Mirhoseini; Joe W. J. Jiang; Young-Joon Lee; David Z. Pan (MLCAD, 2021)

A Full-stack Accelerator Search Technique for Vision Applications. - Dan Zhang 004; Safeen Huda; Ebrahim M. Songhori; Quoc V. Le; Anna Goldie; Azalia Mirhoseini (CoRR, 2021)

A graph placement methodology for fast chip design. - Azalia Mirhoseini; Anna Goldie; Mustafa Yazgan; Joe Wenjie Jiang; Ebrahim M. Songhori; Shen Wang; Young-Joon Lee; Eric Johnson; Omkar Pathak; Azade Nazi; Jiwoo Pak; Andy Tong; et al. (Nat., 2021)

Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). - Ahmet Faruk Budak; Zixuan Jiang; Keren Zhu 001; Azalia Mirhoseini; Anna Goldie; David Z. Pan (ASP-DAC, 2022)

A full-stack search technique for domain optimized deep learning accelerators. - Dan Zhang 004; Safeen Huda; Ebrahim M. Songhori; Kartik Prabhu; Quoc V. Le; Anna Goldie; Azalia Mirhoseini (ASPLOS, 2022)

Scalability and Generalization of Circuit Training for Chip Floorplanning. - Summer Yue; Ebrahim M. Songhori; Joe Wenjie Jiang; Toby Boyd; Anna Goldie; Azalia Mirhoseini; Sergio Guadarrama (ISPD, 2022)

Measuring Progress on Scalable Oversight for Large Language Models. - 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; et al. (CoRR, 2022)

Constitutional AI: Harmlessness from AI Feedback. - Yuntao Bai; Saurav Kadavath; Sandipan Kundu; Amanda Askell; Jackson Kernion; Andy Jones; Anna Chen; Anna Goldie; Azalia Mirhoseini; Cameron McKinnon; Carol Chen; Catherine Olsson; et al. (CoRR, 2022)

The Capacity for Moral Self-Correction in Large Language Models. - 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; et al. (CoRR, 2023)

Specific versus General Principles for Constitutional AI. - Sandipan Kundu; Yuntao Bai; Saurav Kadavath; Amanda Askell; Andrew Callahan; Anna Chen; Anna Goldie; Avital Balwit; Azalia Mirhoseini; Brayden McLean; Catherine Olsson; Cassie Evraets; et al. (CoRR, 2023)

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval. - Parth Sarthi; Salman Abdullah; Aditi Tuli; Shubh Khanna; Anna Goldie; Christopher D. Manning (ICLR, 2024)

h4rm3l: A Dynamic Benchmark of Composable Jailbreak Attacks for LLM Safety Assessment. - Moussa Koulako Bala Doumbouya; Ananjan Nandi; Gabriel Poesia; Davide Ghilardi; Anna Goldie; Federico Bianchi 001; Dan Jurafsky; Christopher D. Manning (CoRR, 2024)

That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design. - Anna Goldie; Azalia Mirhoseini; Jeff Dean (CoRR, 2024)

h4rm3l: A Language for Composable Jailbreak Attack Synthesis. - Moussa Koulako Bala Doumbouya; Ananjan Nandi; Gabriel Poesia; Davide Ghilardi; Anna Goldie; Federico Bianchi 001; Dan Jurafsky; Christopher D. Manning (ICLR, 2025)

Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use. - Anna Goldie; Azalia Mirhoseini; Hao Zhou; Irene Cai; Christopher D. Manning (CoRR, 2025)

Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models. - Caia Costello; Simon Guo 004; Anna Goldie; Azalia Mirhoseini (CoRR, 2025)