Search Results for author: Arnab Bhattacharya

Found 28 papers, 11 papers with code

PARAMANU-AYN: An Efficient Novel Generative and Instruction-tuned Language Model for Indian Legal Case Documents

no code implementations20 Mar 2024 Mitodru Niyogi, Arnab Bhattacharya

We also evaluated the responses of prompts for instruction-tuned models by GPT-3. 5-Turbo on clarity, relevance, completeness, and legal reasoning metrics in a scale of 10.

Language Modelling Legal Reasoning +1

Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer

no code implementations5 Feb 2024 V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya

Identification of cognates across related languages is one of the primary problems in historical linguistics.

Link Prediction

Paramanu: A Family of Novel Efficient Indic Generative Foundation Language Models

no code implementations31 Jan 2024 Mitodru Niyogi, Arnab Bhattacharya

It is a collection of auto-regressive monolingual, bilingual, and multilingual Indic language models pretrained from scratch on a single GPU for 10 Indian languages (Assamese, Bangla, Hindi, Konkani, Maithili, Marathi, Odia, Sanskrit, Tamil, Telugu) across 5 scripts (Bangla, Devanagari, Odia, Tamil, Telugu) of varying sizes ranging from 13. 29M to 367. 5M. The models are pretrained with a context size of 1024 on a single GPU.

Text Generation

Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction

1 code implementation11 Oct 2023 V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya

Phonological reconstruction is one of the central problems in historical linguistics where a proto-word of an ancestral language is determined from the observed cognate words of daughter languages.

Protein Language Model

Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation

1 code implementation11 Oct 2023 Hrishikesh Terdalkar, Arnab Bhattacharya

In this paper, we present Antarlekhaka, a tool for manual annotation of a comprehensive set of tasks relevant to NLP.

Boundary Detection Sentence

Vacaspati: A Diverse Corpus of Bangla Literature

no code implementations11 Jul 2023 Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji, Arnab Bhattacharya

We also demonstrate the efficacy of Vacaspati as a corpus by showing that similar models built from other corpora are not as effective.

Lemmatization POS +1

Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties

no code implementations3 Feb 2023 Ashutosh Dutta, Samrat Chatterjee, Arnab Bhattacharya, Mahantesh Halappanavar

Development of autonomous cyber system defense strategies and action recommendations in the real-world is challenging, and includes characterizing system state uncertainties and attack-defense dynamics.

reinforcement-learning Reinforcement Learning (RL)

AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning

no code implementations20 Dec 2022 Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee

Search and Rescue (SAR) missions in remote environments often employ autonomous multi-robot systems that learn, plan, and execute a combination of local single-robot control actions, group primitives, and global mission-oriented coordination and collaboration.

Meta-Learning Multi-agent Reinforcement Learning +2

Recommendation of Compatible Outfits Conditioned on Style

no code implementations30 Mar 2022 Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly, Arnab Bhattacharya

Recommendation in the fashion domain has seen a recent surge in research in various areas, for example, shop-the-look, context-aware outfit creation, personalizing outfit creation, etc.

Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem

1 code implementation16 Mar 2022 Ethan King, Jan Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna Vrabie

The dynamics-aware economic dispatch (DED) problem embeds low-level generator dynamics and operational constraints to enable near real-time scheduling of generation units in a power network.

Scheduling

Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text

no code implementations1 Feb 2022 Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh

Knowledge bases (KB) are an important resource in a number of natural language processing (NLP) and information retrieval (IR) tasks, such as semantic search, automated question-answering etc.

Information Retrieval Question Answering +1

Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models

no code implementations10 Jan 2022 Shashwat Bhattacharya, Mahendra K Verma, Arnab Bhattacharya

We observe that although the predictions of all the models are quite close to each other, the machine learning models developed in this work provide the best match with the experimental and numerical results.

BIG-bench Machine Learning regression

Task and Model Agnostic Adversarial Attack on Graph Neural Networks

1 code implementation25 Dec 2021 Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu

In this work, we study this problem and show that GNNs remain vulnerable even when the downstream task and model are unknown.

Adversarial Attack Q-Learning

Semantic Segmentation of Legal Documents via Rhetorical Roles

1 code implementation3 Dec 2021 Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Angshuman Hazarika, Shubham Nigam, Arnab Bhattacharya, Ashutosh Modi

For automatically segmenting the legal documents, we experiment with the task of rhetorical role prediction: given a document, predict the text segments corresponding to various roles.

Semantic Segmentation

Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs

1 code implementation6 Jul 2021 Hrishikesh Terdalkar, Arnab Bhattacharya

The application is language and corpus agnostic, but can be tuned for special needs of a specific language or a corpus.

Knowledge Graphs Natural Language Queries

Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads

no code implementations21 Mar 2021 Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna Vrabie

For effective integration of building operations into the evolving demand response programs of the power grid, real-time decisions concerning the use of building appliances for grid services must excel on multiple criteria, ranging from the added value to occupants' comfort to the quality of the grid services.

GraphReach: Position-Aware Graph Neural Network using Reachability Estimations

1 code implementation19 Aug 2020 Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu

In this paper, we develop GraphReach, a position-aware inductive GNN that captures the global positions of nodes through reachability estimations with respect to a set of anchor nodes.

Link Prediction Node Classification +1

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation

no code implementations17 May 2020 Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Prathosh AP, Sreeram Kannan, Himanshu Asnani

Estimation of information theoretic quantities such as mutual information and its conditional variant has drawn interest in recent times owing to their multifaceted applications.

Evolution of the Modern Phase of Written Bangla: A Statistical Study

no code implementations6 Oct 2013 Paheli Bhattacharya, Arnab Bhattacharya

Active languages such as Bangla (or Bengali) evolve over time due to a variety of social, cultural, economic, and political issues.

Sentence

Constraint Satisfaction over Generalized Staircase Constraints

no code implementations18 Apr 2013 Shubhadip Mitra, Partha Dutta, Arnab Bhattacharya

In this paper, we introduce generalized staircase (GS) constraints which is an important generalization of one such tractable class found in the literature, namely, staircase constraints.

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