Matthew Riemer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
9
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships? | Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney |
| 2026 | ACL | AI Steerability 360: A Toolkit for Steering Large Language Models. | Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Ching-Yun Ko, Pierre L. Dognin, Moninder Singh, Tejaswini Pedapati, Avinash Balakrishnan, Matthew Riemer, Dennis Wei, Inge Vejsbjerg, Elizabeth M. Daly, Kush R. Varshney |
| 2025 | ACL | EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. | Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer |
| 2025 | ACL | Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs. | Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar |
| 2025 | ICASSP | Contextual Value Alignment. | Pierre L. Dognin, Jesus Rios, Ronny Luss, Prasanna Sattigeri, Miao Liu, Inkit Padhi, Matthew Riemer, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf |
| 2025 | ICLR | Handling Delay in Real-Time Reinforcement Learning. | Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou |
| 2025 | ICLR | Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference. | Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish |
| 2025 | ICML | Position: Theory of Mind Benchmarks are Broken for Large Language Models. | Matthew Riemer, Zahra Ashktorab, Djallel Bouneffouf, Payel Das, Miao Liu, Justin D. Weisz, Murray Campbell |
| 2024 | ACL | A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. | Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar |
| 2024 | IJCAI | ComVas: Contextual Moral Values Alignment System. | Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf |
| 2022 | AAAI | Context-Specific Representation Abstraction for Deep Option Learning. | Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How |
| 2021 | AAAI | RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). | Tailia Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims |
| 2021 | CogSci | Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. | Tailia Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims |
| 2021 | ICML | A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. | Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How |
| 2021 | IJCAI | Efficient Black-Box Planning Using Macro-Actions with Focused Effects. | Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro |
| 2020 | AAAI | Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract). | Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar |
| 2020 | AAAI | On the Role of Weight Sharing During Deep Option Learning. | Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro |
| 2019 | AAAI | Learning to Teach in Cooperative Multiagent Reinforcement Learning. | Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How |
| 2019 | AAAI | Scalable Recollections for Continual Lifelong Learning. | Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini |
| 2019 | ICLR | Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference. | Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro |
| 2019 | NAACL | Recursive Routing Networks: Learning to Compose Modules for Language Understanding. | Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen |
| 2018 | ICLR | Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning. | Clemens Rosenbaum, Tim Klinger, Matthew Riemer |
| 2016 | ICML | Correcting Forecasts with Multifactor Neural Attention. | Matthew Riemer, Aditya Vempaty, Flvio P. Calmon, Fenno F. Terry Heath III, Richard Hull, Elham Khabiri |
| 2015 | BigData | Alexandria: Extensible Framework for Rapid Exploration of Social Media. | Fenno F. Terry Heath III, Richard Hull, Elham Khabiri, Matthew Riemer, Noi Sukaviriya, Roman Vaculn |