Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs.
CoRR, January, 2025
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.
Trans. Mach. Learn. Res., 2025
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation.
CoRR, 2024
Scalable Representation Learning for Multimodal Tabular Transactions.
CoRR, 2024
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports.
CoRR, 2024
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Synthetic Text Generation using Hypergraph Representations.
CoRR, 2023
Aspect-based Summarization of Legal Case Files using Sentence Classification.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Bayesian Hierarchical Models for Counterfactual Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Synthetic document generator for annotation-free layout recognition.
Pattern Recognit., 2022
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.
CoRR, 2022
Structure with Semantics: Exploiting Document Relations for Retrieval.
CoRR, 2022
Detecting Regulation Violations for an Indian Regulatory Body through Multi Label Classification.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
SEBI Regulation Biography.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Structure and Semantics Preserving Document Representations.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Mapping ESG Trends by Distant Supervision of Neural Language Models.
Mach. Learn. Knowl. Extr., 2020
Robust Document Representations using Latent Topics and Metadata.
CoRR, 2020
Financial Market Data Simulation Using Deep Intelligence Agents.
Proceedings of the Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 2019
MultiGraph Attention Network for analyzing Company Relations.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019
An Extensible Event Extraction System With Cross-Media Event Resolution.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
A comparison of classification models for natural disaster and critical event detection from news.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Action recognition in depth videos using nonparametric probabilistic graphical models.
PhD thesis, 2016
Activity recognition using a supervised non-parametric hierarchical HMM.
Neurocomputing, 2016
Non-parametric Hidden Conditional Random Fields for action classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Action classification using a discriminative multilevel HDP-HMM.
Neurocomputing, 2015
Action classification using a discriminative non-parametric Hidden Markov Model.
Proceedings of the Sixth International Conference on Machine Vision, 2013