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Mehta, Dhagash

  1. HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
    2024/08/09 by Sarmah, Bhaskarjit, Hall, Benika, Rao, Rohan +3 · 2 voices · 42 citations
    #Applications (stat.AP) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Finance (q-fin.ST)
  2. Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
    2023/05/30 by Chen Ling, Xujiang Zhao, Ling, Chen +41 · 30 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  3. The loss surface of deep linear networks viewed through the algebraic geometry lens
    2018/10/17 by Mehta, Dhagash, Chen, Tianran, Tang, Tingting +1 · 4 citations
    #Algebraic Geometry (math.AG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Counting equilibria of the Kuramoto model using birationally invariant intersection index
    2017/08/30 by Tianran Chen, Chen, Tianran, Robert Davis +3 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #14Q99 #65H10 #Algebraic Geometry (math.AG) #Cellular Automata and Applications #Combinatorics (math.CO) #FOS: Mathematics #Gene Regulatory Network Analysis #Nonlinear Dynamics and Pattern Formation
  5. Supersymmetric gauge theories on the lattice: Pfaffian phases and the Neuberger 0/0 problem
    2011/12/22 by Dhagash Mehta, Simon Catterall, Mehta, Dhagash +5 · 1 citation
    Physics and Astronomy · #Black Holes and Theoretical Physics #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Theory (hep-th) #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions
  6. Fixed Points of Belief Propagation -- An Analysis via Polynomial Homotopy Continuation
    2016/05/20 by Christian Knoll, Knoll, Christian, Franz Pernkopf +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Algebraic Geometry (math.AG) #Bayesian Modeling and Causal Inference #Error Correcting Code Techniques #FOS: Computer and information sciences #FOS: Mathematics #Gene Regulatory Network Analysis #Machine Learning (stat.ML)
  7. Towards reducing hallucination in extracting information from financial reports using Large Language Models
    2023/10/16 by Bhaskarjit Sarmah, Tianjie Zhu, Sarmah, Bhaskarjit +5 · 2 citations
    Computer Science · #Advanced Text Analysis Techniques #Applications (stat.AP) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Economics and business #Portfolio Management (q-fin.PM) #Sentiment Analysis and Opinion Mining #Statistical Finance (q-fin.ST) #Topic Modeling
  8. Enhanced Local Explainability and Trust Scores with Random Forest Proximities
    2023/10/19 by Joshua Rosaler, Rosaler, Joshua, Dhruv Desai +11 · 2 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Methodology (stat.ME) #Statistical Finance (q-fin.ST) #Stock Market Forecasting Methods
  9. Machine learning the real discriminant locus
    2020/06/24 by Edgar A. Bernal, Jonathan D. Hauenstein, Bernal, Edgar A. +7 · 1 citation
    Computer Science · Engineering · Mathematics · #Algebraic Geometry (math.AG) #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Dynamics and Fractals #Polynomial and algebraic computation #Reservoir Engineering and Simulation Methods #Symbolic Computation (cs.SC)
  10. Supervised similarity learning for corporate bonds using Random Forest proximities
    2022/07/10 by Jerinsh Jeyapaulraj, Jeyapaulraj, Jerinsh, Dhruv Desai +9 · 2 citations
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Complex Systems and Time Series Analysis #Computational Finance (q-fin.CP) #FOS: Economics and business #Machine Learning in Healthcare #Statistical Finance (q-fin.ST) #Stock Market Forecasting Methods #Trading and Market Microstructure (q-fin.TR)
  11. Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
    2025/06/05 by Dimitris Vamvourellis, Vamvourellis, Dimitris, Dhagash Mehta +1 · 4 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Sentiment Analysis and Opinion Mining #Stock Market Forecasting Methods
  12. A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
    2024/12/19 by Bhaskarjit Sarmah, Sarmah, Bhaskarjit, Anna Grigoryan +8 · 3 citations
    Computer Science · #Topic Modeling #Speech and dialogue systems
  13. Open Set Recognition for Random Forest
    2024/08/01 by Guanchao Feng, Feng, Guanchao, Dhruv Desai +5 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  14. Can an unsupervised clustering algorithm reproduce a categorization system?
    2024/08/19 by Castellanos, Nathalia, Desai, Dhruv, Frank, Sebastian +2 · 2 citations
    #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Finance (q-fin.ST)
  15. Fund2Vec: Mutual Funds Similarity using Graph Learning
    2021/06/24 by Vipul Satone, Dhruv Desai, Satone, Vipul +3 · 1 citation
    Computer Science · Decision Sciences · #Machine Learning in Healthcare #Advanced Graph Neural Networks #Stock Market Forecasting Methods
  16. Company Similarity using Large Language Models
    2023/08/15 by Dimitrios Vamvourellis, Vamvourellis, Dimitrios, Máté Attila Tóth +9 · 1 citation
    Decision Sciences · #Stock Market Forecasting Methods
  17. Towards Robust Deep Neural Networks
    2018/10/27 by Timothy E. Wang, Wang, Timothy E., Jack Gu +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistical Mechanics (cond-mat.stat-mech)
  18. Quantifying Outlierness of Funds from their Categories using Supervised Similarity
    2023/08/14 by Desai, Dhruv, Dhiman, Ashmita, Sharma, Tushar +3 · 1 citation
    #Applications (stat.AP) #Computational Finance (q-fin.CP) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Statistical Finance (q-fin.ST)
  19. Explainable Unsupervised Anomaly Detection with Random Forest
    2025/04/22 by Joshua S. Harvey, Joshua Rosaler, Harvey, Joshua S. +7 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection
  20. Quantile Regression using Random Forest Proximities
    2024/08/05 by Li, Mingshu, Sarmah, Bhaskarjit, Desai, Dhruv +4 · 1 citation
    #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Finance (q-fin.ST) #Trading and Market Microstructure (q-fin.TR)