PPaperPicks

Sarath Chandar

University of Montreal, Department of Computer Science and Operations Research, Canada

20 papers at tracked venues · 15 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗Homepage ↗

Venues

ACL ×6EMNLP ×3ICLR ×3AAAI ×2ICML ×2EACL ×1ICCV ×1ICSME ×1NeurIPS ×1

Frequent coauthors

Janarthanan Rajendran
×5
Jerry Huang
×4
Quentin Fournier
×4
Gonçalo Mordido
×4
Artem Zholus
×3
Matthew Riemer
×3
Prasanna Parthasarathi
×3
Megh Thakkar
×2
Pin-Yu Chen
×2
Amal Zouaq
×2
Payel Das
×2
Mehdi Rezagholizadeh
×2

Papers

  1. Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning
    EACL 2026 ·
    Jerry Huang
    ,
    Peng Lu
    ,
    Qiuhao Zeng
    ,
    Yusuke Iwasawa
    ,
    Yutaka Matsuo
    , Sarath Chandar,
    Edison Marrese-Taylor
    ,
    Irene Li
  2. A Generalist Hanabi Agent
    ICLR 2025 ·
    Arjun Vaithilingam Sudhakar
    ,
    Hadi Nekoei
    ,
    Mathieu Reymond
    ,
    Miao Liu
    ,
    Janarthanan Rajendran
    , Sarath Chandar
  3. BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
    AAAI 2025 ·
    Artem Zholus
    ,
    Maksim Kuznetsov
    ,
    Roman Schutski
    ,
    Rim Shayakhmetov
    ,
    Daniil Polykovskiy
    , Sarath Chandar,
    Alex Zhavoronkov
  4. 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
  5. Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
    ACL 2025 ·
    Jerry Huang
    ,
    Prasanna Parthasarathi
    ,
    Mehdi Rezagholizadeh
    ,
    Boxing Chen
    , Sarath Chandar
  6. Small Encoders Can Rival Large Decoders in Detecting Groundedness
    ACL 2025 ·
    Istabrak Abbes
    ,
    Gabriele Prato
    ,
    Quentin Fournier
    ,
    Fernando Rodriguez
    ,
    Alaa Boukhary
    ,
    Adam Elwood
    , Sarath Chandar
  7. Tapnext: Tracking Any Point (Tap) as Next Token Prediction
    ICCV 2025 ·
    Artem Zholus
    ,
    Carl Doersch
    ,
    Yi Yang
    ,
    Skanda Koppula
    ,
    Viorica Patraucean
    ,
    Xu Owen He
    ,
    Ignacio Rocco
    ,
    Mehdi S. M. Sajjadi
    , Sarath Chandar,
    Ross Goroshin
  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. Are self-explanations from Large Language Models faithful?
    ACL 2024 ·
    Andreas Madsen
    , Sarath Chandar,
    Siva Reddy
  10. Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
    NeurIPS 2024 ·
    Matthew Riemer
    ,
    Khimya Khetarpal
    ,
    Janarthanan Rajendran
    , Sarath Chandar
  11. Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
    EMNLP 2024 ·
    Jerry Huang
    ,
    Prasanna Parthasarathi
    ,
    Mehdi Rezagholizadeh
    , Sarath Chandar
  12. Do Large Language Models Know How Much They Know?
    EMNLP 2024 ·
    Gabriele Prato
    ,
    Jerry Huang
    ,
    Prasanna Parthasarathi
    ,
    Shagun Sodhani
    , Sarath Chandar
  13. Exploring Quantization for Efficient Pre-Training of Transformer Language Models
    EMNLP 2024 ·
    Kamran Chitsaz
    ,
    Quentin Fournier
    ,
    Gonçalo Mordido
    , Sarath Chandar
  14. Fairness-Aware Structured Pruning in Transformers
    AAAI 2024 ·
    Abdelrahman Zayed
    ,
    Gonçalo Mordido
    ,
    Samira Shabanian
    ,
    Ioana Baldini
    , Sarath Chandar
  15. Faithfulness Measurable Masked Language Models
    ICML 2024 ·
    Andreas Madsen
    ,
    Siva Reddy
    , Sarath Chandar
  16. Intelligent Switching for Reset-Free RL
    ICLR 2024 ·
    Darshan Patil
    ,
    Janarthanan Rajendran
    ,
    Glen Berseth
    , Sarath Chandar
  17. Lookbehind-SAM: k steps back, 1 step forward
    ICML 2024 ·
    Gonçalo Mordido
    ,
    Pranshu Malviya
    ,
    Aristide Baratin
    , Sarath Chandar
  18. Mastering Memory Tasks with World Models
    ICLR 2024 ·
    Mohammad Reza Samsami
    ,
    Artem Zholus
    ,
    Janarthanan Rajendran
    , Sarath Chandar
  19. Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
    ICSME 2024 ·
    Rached Bouchoucha
    ,
    Ahmed Haj Yahmed
    ,
    Darshan Patil
    ,
    Janarthanan Rajendran
    ,
    Amin Nikanjam
    , Sarath Chandar,
    Foutse Khomh
  20. Why Don't Prompt-Based Fairness Metrics Correlate?
    ACL 2024 ·
    Abdelrahman Zayed
    ,
    Gonçalo Mordido
    ,
    Ioana Baldini
    , Sarath Chandar