PPaperPicks

Matthew Riemer

10 papers at tracked venues · 9 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Payel Das
×4
Kush R. Varshney
×3
Djallel Bouneffouf
×3
Sarath Chandar
×3
Pierre L. Dognin
×2
Tejaswini Pedapati
×2
Megh Thakkar
×2
Quentin Fournier
×2
Pin-Yu Chen
×2
Amal Zouaq
×2
Irina Rish
×2
Miao Liu
×2

Papers

  1. AI Steerability 360: A Toolkit for Steering Large Language Models
    ACL 2026 ·
    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
  2. The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships?
    AAAI 2026 ·
    Djallel Bouneffouf
    , Matthew Riemer,
    Kush R. Varshney
  3. Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs
    ACL 2025 ·
    Megh Thakkar
    ,
    Quentin Fournier
    , Matthew Riemer,
    Pin-Yu Chen
    ,
    Amal Zouaq
    ,
    Payel Das
    ,
    Sarath Chandar
  4. Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
    ICLR 2025 · Matthew Riemer,
    Gopeshh Subbaraj
    ,
    Glen Berseth
    ,
    Irina Rish
  5. EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts
    ACL 2025 ·
    Subhajit Chaudhury
    ,
    Payel Das
    ,
    Sarathkrishna Swaminathan
    ,
    Georgios Kollias
    ,
    Elliot Nelson
    ,
    Khushbu Pahwa
    ,
    Tejaswini Pedapati
    ,
    Igor Melnyk
    , Matthew Riemer
  6. Handling Delay in Real-Time Reinforcement Learning
    ICLR 2025 ·
    Ivan Anokhin
    ,
    Rishav Rishav
    , Matthew Riemer,
    Stephen Chung
    ,
    Irina Rish
    ,
    Samira Ebrahimi Kahou
  7. Position: Theory of Mind Benchmarks are Broken for Large Language Models
    ICML 2025 · Matthew Riemer,
    Zahra Ashktorab
    ,
    Djallel Bouneffouf
    ,
    Payel Das
    ,
    Miao Liu
    ,
    Justin D. Weisz
    ,
    Murray Campbell
  8. A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
    ACL 2024 ·
    Megh Thakkar
    ,
    Quentin Fournier
    , Matthew Riemer,
    Pin-Yu Chen
    ,
    Amal Zouaq
    ,
    Payel Das
    ,
    Sarath Chandar
  9. Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
    NeurIPS 2024 · Matthew Riemer,
    Khimya Khetarpal
    ,
    Janarthanan Rajendran
    ,
    Sarath Chandar
  10. ComVas: Contextual Moral Values Alignment System
    IJCAI 2024 ·
    Inkit Padhi
    ,
    Pierre L. Dognin
    ,
    Jesus Rios
    ,
    Ronny Luss
    ,
    Swapnaja Achintalwar
    , Matthew Riemer,
    Miao Liu
    ,
    Prasanna Sattigeri
    ,
    Manish Nagireddy
    ,
    Kush R. Varshney
    ,
    Djallel Bouneffouf