no code implementations • NAACL (DaSH) 2021 • Natraj Raman, Sameena Shah, Tucker Balch, Manuela Veloso
Information visualization is critical to analytical reasoning and knowledge discovery.
no code implementations • 9 Apr 2024 • Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan
We propose a computational framework for characterizing multimodal long-form summarization and investigate the behavior of Claude 2. 0/2. 1, GPT-4/3. 5, and Command.
no code implementations • 31 Dec 2023 • Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu
Enterprise documents such as forms, invoices, receipts, reports, contracts, and other similar records, often carry rich semantics at the intersection of textual and spatial modalities.
no code implementations • 29 Dec 2023 • Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreačić, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch
Synthetic data has made tremendous strides in various commercial settings including finance, healthcare, and virtual reality.
no code implementations • 6 Sep 2023 • Natraj Raman, Sameena Shah
Generating synthetic variants of a document is often posed as text-to-text transformation.
no code implementations • 21 Jan 2023 • Natraj Raman, Daniele Magazzeni, Sameena Shah
Counterfactual explanations utilize feature perturbations to analyze the outcome of an original decision and recommend an actionable recourse.
no code implementations • 31 Oct 2022 • Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang
To this end, we contribute the Financial Language Understanding Evaluation (FLUE), an open-source comprehensive suite of benchmarks for the financial domain.
no code implementations • 11 Jan 2022 • Natraj Raman, Sameena Shah, Manuela Veloso
Retrieving relevant documents from a corpus is typically based on the semantic similarity between the document content and query text.
no code implementations • 11 Nov 2021 • Natraj Raman, Sameena Shah, Manuela Veloso
Analyzing the layout of a document to identify headers, sections, tables, figures etc.
no code implementations • 23 Oct 2020 • Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso
Task specific fine-tuning of a pre-trained neural language model using a custom softmax output layer is the de facto approach of late when dealing with document classification problems.