Dhagash Mehta - RankMe

75 papers A* 1A 1B 1C 4Journal 45Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Comput. Surv. Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2026	J	`jnl`	Evaluating LLMs in Finance Requires Explicit Bias Consideration. CoRR Yaxuan Kong, Hoyoung Lee, Yoontae Hwang, Alejandro Lopez-Lira, Bradford Levy, Dhagash Mehta, Qingsong Wen, Chanyeol Choi, Yongjae Lee, Stefan Zohren
2025	A	`conf`	Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs. CIKM Yongjae Lee, Nazanin Mehrasa, Chanyeol Choi, Chung-Chi Chen, Dhagash Mehta, Stefan Zohren, Yoon Kim, Chulheum Lee, Yeonhee Lee, Eunsook Oh
2025	J	`jnl`	AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions. CoRR Tianjiao Zhao, Jingrao Lyu, Stokes Jones, Harrison Garber, Stefano Pasquali, Dhagash Mehta
2025	—	`conf`	Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals. ICAIF Gregory Yampolsky, Dhruv Desai, Mingshu Li, Stefano Pasquali, Dhagash Mehta
2025	—	`conf`	Contextual Time Series Embedding: A State Space Perspective for Financial Data. ICAIF Guanchao Feng, James Lavinder, Yanfei Huang, Ding Zhao, Morgan Hawkins, Dipanker Koirala, Dhagash Mehta
2025	J	`jnl`	Explainable Unsupervised Anomaly Detection with Random Forest. CoRR Joshua S. Harvey, Joshua Rosaler, Mingshu Li, Dhruv Desai, Dhagash Mehta
2025	A*	`conf`	FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. SIGIR Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua
2025	J	`jnl`	Interpretable Model-Aware Counterfactual Explanations for Random Forest. CoRR Joshua S. Harvey, Guanchao Feng, Sai Anusha Meesala, Tina Zhao, Dhagash Mehta
2025	—	`conf`	Large Language Model Agents for Investment Management: Foundations, Benchmarks, and Research Frontiers. ICAIF Preetha Saha, Jingrao Lyu, Arnav Saxena, Tianjiao Zhao, Dhagash Mehta
2025	J	`jnl`	Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI. CoRR Samarth Sarin, Lovepreet Singh, Bhaskarjit Sarmah, Dhagash Mehta
2025	—	`conf`	Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis. ICAIF Dimitris Vamvourellis, Dhagash Mehta
2025	J	`jnl`	Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis. CoRR Dimitris Vamvourellis, Dhagash Mehta
2025	J	`jnl`	STRAPSim: A Portfolio Similarity Metric for ETF Alignment and Portfolio Trades. CoRR Mingshu Li, Dhruv Desai, Jerinsh Jeyapaulraj, Philip Sommer, Riya Jain, Peter Chu, Dhagash Mehta
2025	—	`conf`	Similarity-based Conformal Prediciton using Random Forest Proximities. ICAIF Mingshu Li, Dhruv Desai, Bhaskarjit Sarmah, Snigdha Bhagat, Dhagash Mehta
2024	J	`jnl`	A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation. CoRR Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan, Sachin Tiwari, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	AI versus AI in Financial Crimes & Detection: GenAI Crime Waves to Co-Evolutionary AI. ICAIF Eren Kurshan, Dhagash Mehta, Tucker Balch
2024	J	`jnl`	AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI. CoRR Eren Kurshan, Dhagash Mehta, Bayan Bruss, Tucker Balch
2024	—	`conf`	Can an unsupervised clustering algorithm reproduce a categorization system? ICAIF Nathalia M. Castellanos, Sebastian Frank, Dhruv Desai, Stefano Pasquali, Dhagash Mehta
2024	J	`jnl`	Can an unsupervised clustering algorithm reproduce a categorization system? CoRR Nathalia M. Castellanos, Dhruv Desai, Sebastian Frank, Stefano Pasquali, Dhagash Mehta
2024	J	`jnl`	Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals. CoRR Gregory Yampolsky, Dhruv Desai, Mingshu Li, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	Company Similarity Using Large Language Models. CIFEr Dimitrios Vamvourellis, Máté Tóth, Snigdha Bhagat, Dhruv Desai, Dhagash Mehta, Stefano Pasquali
2024	—	`conf`	Enhanced Local Explainability and Trust Scores with Random Forest Proximities. ICAIF Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Stefano Pasquali, Dhagash Mehta
2024	J	`jnl`	How to Choose a Threshold for an Evaluation Metric for Large Language Models. CoRR Bhaskarjit Sarmah, Mingshu Li, Jingrao Lyu, Sebastian Frank, Nathalia M. Castellanos, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. ICAIF Bhaskarjit Sarmah, Dhagash Mehta, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali
2024	J	`jnl`	HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. CoRR Bhaskarjit Sarmah, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning. CIFEr Bhaskarjit Sarmah, Nayana Nair, Riya Jain, Dhagash Mehta, Stefano Pasquali
2024	—	`conf`	Machine Learning-based Relative Valuation of Municipal Bonds. ICAIF Preetha Saha, Jasmine Lyu, Dhruv Desai, Rishab Chauhan, Jerinsh Jeyapaulraj, Peter Chu, Philip Sommer, Dhagash Mehta
2024	—	`conf`	Open Set Recognition for Random Forest. ICAIF Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta
2024	J	`jnl`	Open Set Recognition for Random Forest. CoRR Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	Quantile Regression using Random Forest Proximities. ICAIF Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta
2024	J	`jnl`	Quantile Regression using Random Forest Proximities. CoRR Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta
2023	J	`jnl`	Machine learning the real discriminant locus. J. Symb. Comput. Edgar A. Bernal, Jonathan D. Hauenstein, Dhagash Mehta, Margaret H. Regan, Tingting Tang
2023	—	`conf`	Quantifying Outlierness of Funds from their Categories using Supervised Similarity. ICAIF Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali
2023	J	`jnl`	Quantifying Outlierness of Funds from their Categories using Supervised Similarity. CoRR Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali
2023	J	`jnl`	Special issue on Algebraic Geometry and Machine Learning. J. Symb. Comput. Jonathan D. Hauenstein, Yang-Hui He, Ilias S. Kotsireas, Dhagash Mehta, Tingting Tang
2023	J	`jnl`	Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach. CoRR Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali
2023	—	`conf`	Towards reducing hallucination in extracting information from financial reports using Large Language Models. AIMLSystems Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu
2023	J	`jnl`	Towards reducing hallucination in extracting information from financial reports using Large Language Models. CoRR Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali
2022	—	`conf`	Learning Mutual Fund Categorization using Natural Language Processing. ICAIF Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali
2022	—	`conf`	Supervised similarity learning for corporate bonds using Random Forest proximities. ICAIF Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, Peter Chu, Stefano Pasquali, Philip Sommer
2022	J	`jnl`	The Loss Surface of Deep Linear Networks Viewed Through the Algebraic Geometry Lens. IEEE Trans. Pattern Anal. Mach. Intell. Dhagash Mehta, Tianran Chen, Tingting Tang, Jonathan D. Hauenstein
2021	J	`jnl`	Fund2Vec: Mutual Funds Similarity using Graph Learning. CoRR Vipul Satone, Dhruv Desai, Dhagash Mehta
2021	—	`conf`	Fund2Vec: mutual funds similarity using graph learning. ICAIF Vipul Satone, Dhruv Desai, Dhagash Mehta
2021	—	`conf`	Investor behavior modeling by analyzing financial advisor notes: a machine learning perspective. ICAIF Cynthia Pagliaro, Dhagash Mehta, Han-Tai Shiao, Shaofei Wang, Luwei Xiong
2020	J	`jnl`	Machine Learning Fund Categorizations. CoRR Dhagash Mehta, Dhruv Desai, Jithin Pradeep
2020	—	`conf`	Machine learning fund categorizations. ICAIF Dhagash Mehta, Dhruv Desai, Jithin Pradeep
2020	J	`jnl`	Machine learning the real discriminant locus. CoRR Edgar A. Bernal, Jonathan D. Hauenstein, Dhagash Mehta, Margaret H. Regan, Tingting Tang
2019	—	`conf`	Decomposing the Parameter Space of Biological Networks via a Numerical Discriminant Approach. MC Heather A. Harrington, Dhagash Mehta, Helen M. Byrne, Jonathan D. Hauenstein
2019	—	`conf`	Three Formulations of the Kuramoto Model as a System of Polynomial Equations. Allerton Tianran Chen, Jakub Marecek, Dhagash Mehta, Matthew E. Niemerg
2018	J	`jnl`	Counting Equilibria of the Kuramoto Model Using Birationally Invariant Intersection Index. SIAM J. Appl. Algebra Geom. Tianran Chen, Robert Davis, Dhagash Mehta
2018	J	`jnl`	Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. IEEE Trans. Pattern Anal. Mach. Intell. Christian Knoll, Dhagash Mehta, Tianran Chen, Franz Pernkopf
2018	J	`jnl`	Optimal Configurations in Coverage Control with Polynomial Costs. CoRR Shaunak D. Bopardikar, Dhagash Mehta, Jonathan D. Hauenstein
2018	J	`jnl`	The Loss Surface of XOR Artificial Neural Networks. CoRR Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal, David J. Wales
2018	J	`jnl`	The loss surface of deep linear networks viewed through the algebraic geometry lens. CoRR Dhagash Mehta, Tianran Chen, Tingting Tang, Jonathan D. Hauenstein
2018	J	`jnl`	Towards Robust Deep Neural Networks. CoRR Timothy E. Wang, Jack Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal
2017	J	`jnl`	Locating Power Flow Solution Space Boundaries: A Numerical Polynomial Homotopy Approach. CoRR Souvik Chandra, Dhagash Mehta, Aranya Chakrabortty
2017	J	`jnl`	Perspective: Energy Landscapes for Machine Learning. CoRR Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales
2016	J	`jnl`	A Network Topology Dependent Upper Bound on the Number of Equilibria of the Kuramoto Model. CoRR Tianran Chen, Dhagash Mehta, Matthew E. Niemerg
2016	C	`conf`	Introduction to numerical polynomial homotopy continuation methods for the power systems practitioners. ACC Dhagash Mehta
2016	J	`jnl`	Investigating the Maximum Number of Real Solutions to the Power Flow Equations: Analysis of Lossless Four-Bus Systems. CoRR Daniel K. Molzahn, Matthew E. Niemerg, Dhagash Mehta, Jonathan D. Hauenstein
2016	C	`conf`	Recent advances in computational methods for the power flow equations. ACC Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn
2016	C	`conf`	Toward topologically based upper bounds on the number of power flow solutions. ACC Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg
2015	J	`jnl`	A Collection of Challenging Optimization Problems in Science, Engineering and Economics. CoRR Dhagash Mehta, Crina Grosan
2015	B	`conf`	A collection of challenging optimization problems in science, engineering and economics. CEC Dhagash Mehta, Crina Grosan
2015	J	`jnl`	An index-resolved fixed-point homotopy and potential energy landscapes. CoRR Tianran Chen, Dhagash Mehta
2015	J	`jnl`	Experiments on the Zeros of Harmonic Polynomials Using Certified Counting. Exp. Math. Jonathan D. Hauenstein, Antonio Lerario, Erik Lundberg, Dhagash Mehta
2015	C	`conf`	Exploring the impact of wind penetration on power system equilibrium using a numerical continuation approach. ACC Souvik Chandra, Dhagash Mehta, Aranya Chakrabortty
2015	J	`jnl`	On the Network Topology Dependent Solution Count of the Algebraic Load Flow Equations. CoRR Tianran Chen, Dhagash Mehta
2015	J	`jnl`	Parallel degree computation for solution space of binomial systems with an application to the master space of $\mathcal{N}=1$ gauge theories. CoRR Tianran Chen, Dhagash Mehta
2015	J	`jnl`	Recent Advances in Computational Methods for the Power Flow Equations. CoRR Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn
2015	J	`jnl`	Toward Topologically Based Upper Bounds on the Number of Power Flow Solutions. CoRR Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg
2014	J	`jnl`	Certified counting of roots of random univariate polynomials. CoRR Joseph Cleveland, Jeffrey Dzugan, Jonathan D. Hauenstein, Ian Haywood, Dhagash Mehta, Anthony Morse, Leonardo Robol, Taylor Schlenk
2014	J	`jnl`	Exploring the Impact of Wind Penetration on Power System Equilibrium Using a Numerical Continuation Approach. CoRR Souvik Chandra, Dhagash Mehta, Aranya Chakrabortty
2010	J	`jnl`	Stability and Bifurcation Analysis of Coupled Fitzhugh-Nagumo Oscillators. CoRR William Hanan, Dhagash Mehta, Guillaume Moroz, Sepanda Pouryahya