PPaperPicks

Manuela Veloso

Carnegie Mellon University, Pittsburgh, USA

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

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Venues

ICML ×5AAAI ×4EACL ×4ACL ×3ECAI ×3EMNLP ×2NeurIPS ×2UAI ×2ICLR ×1IROS ×1KR ×1

Frequent coauthors

Elizabeth Fons
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Zikai Xiong
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Jabez Magomere
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Mathieu Sibue
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Pranav Shetty
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Nicole Cho
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William Watson
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Alberto Pozanco
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Gaurav Verma
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Simerjot Kaur
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Mohsen Ghassemi
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Aras Selvi
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Papers

  1. Distill and Align Decomposition for Enhanced Claim Verification
    EACL 2026 ·
    Jabez Magomere
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  2. ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images
    EACL 2026 ·
    Mathieu Sibue
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  3. Perturb Your Data: Paraphrase-Guided Training Data Watermarking
    AAAI 2026 ·
    Pranav Shetty
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  4. TASER: Table Agents for Schema-guided Extraction and Recommendation
    EACL 2026 ·
    Nicole Cho
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  5. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance
    EACL 2026 ·
    William Watson
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  6. A Planning Compilation to Reason About Goal Achievement at Planning Time
    KR 2025 ·
    Alberto Pozanco
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  7. AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
    ACL 2025 ·
    Gaurav Verma
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  8. Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing
    ACL 2025 ·
    Simerjot Kaur
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  9. Auditing and Enforcing Conditional Fairness via Optimal Transport
    AAAI 2025 ·
    Mohsen Ghassemi
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  10. Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
    UAI 2025 ·
    Aras Selvi
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  11. EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption
    ICML 2025 ·
    Leo de Castro
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  12. Interpreting Language Reward Models via Contrastive Explanations
    ICLR 2025 ·
    Junqi Jiang
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  13. LETS-C: Leveraging Text Embedding for Time Series Classification
    ACL 2025 ·
    Rachneet Kaur
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  14. LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation
    ICML 2025 ·
    Elizabeth Fons
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  15. Mixup Regularization: A Probabilistic Perspective
    UAI 2025 ·
    Yousef El-Laham
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  16. On Learning Action Costs from Input Plans
    ECAI 2025 ·
    Marianela Morales
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  17. The Subset Sum Matching Problem
    ECAI 2025 ·
    Yufei Wu
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  18. To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
    ICML 2025 ·
    Anna Hedström
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  19. Vibrotactile Sensing for Detecting Misalignments in Precision Manufacturing
    IROS 2025 ·
    Kevin Zhang
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  20. "What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs
    EMNLP 2024 ·
    Ran Zmigrod
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  21. Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
    AAAI 2024 ·
    Kyle Mana
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  22. Counterfactual Metarules for Local and Global Recourse
    ICML 2024 ·
    Tom Bewley
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  23. Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark
    EMNLP 2024 ·
    Elizabeth Fons
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  24. Fair Wasserstein Coresets
    NeurIPS 2024 ·
    Zikai Xiong
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  25. FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
    AAAI 2024 ·
    Zikai Xiong
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  26. Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
    ICML 2024 ·
    Sanjay Kariyappa
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  27. Sequential Harmful Shift Detection Without Labels
    NeurIPS 2024 ·
    Salim I. Amoukou
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  28. Temporal Fairness in Decision Making Problems
    ECAI 2024 ·
    Manuel R. Torres
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