PPaperPicks

Sandipan Sikdar

9 papers at tracked venues · 5 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Wolfgang Nejdl
×4
Maryam Badar
×2
Marco Fisichella
×2
Jonas Wallat
×1
Dren Fazlija
×1
Arkadij Orlov
×1
Aparup Khatua
×1
Tobias Kalmbach
×1
Prasenjit Mitra
×1
Siddharth D. Jaiswal
×1
Sagnik Basu
×1
Animesh Mukherjee
×1

Papers

  1. When Facts Change: Temporal Knowledge Conflict Resolution in LLMs
    ACL 2026 ·
    Jonas Wallat
    ,
    Wolfgang Nejdl
    , Sandipan Sikdar
  2. ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness
    ACL 2025 ·
    Dren Fazlija
    ,
    Arkadij Orlov
    , Sandipan Sikdar
  3. Evaluating LLMs' (In)ability to Follow Prompts in QA Tasks
    SIGIR 2025 ·
    Aparup Khatua
    ,
    Tobias Kalmbach
    ,
    Prasenjit Mitra
    , Sandipan Sikdar
  4. Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions
    ICWSM 2025 ·
    Siddharth D. Jaiswal
    ,
    Sagnik Basu
    , Sandipan Sikdar,
    Animesh Mukherjee
  5. FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning
    AAAI 2024 ·
    Maryam Badar
    , Sandipan Sikdar,
    Wolfgang Nejdl
    ,
    Marco Fisichella
  6. IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
    AAAI 2024 ·
    Jingge Xiao
    ,
    Leonie Basso
    ,
    Wolfgang Nejdl
    ,
    Niloy Ganguly
    , Sandipan Sikdar
  7. IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models
    ECAI 2024 ·
    Seham Nasr
    , Sandipan Sikdar
  8. Rethinking Evaluation Methods for Machine Unlearning
    EMNLP 2024 ·
    Leon Wichert
    , Sandipan Sikdar
  9. TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning
    ECAI 2024 ·
    Maryam Badar
    , Sandipan Sikdar,
    Wolfgang Nejdl
    ,
    Marco Fisichella