Publications (55)
Creating and Managing a large annotated parallel corpora of Indian languages
Ritesh Kumar, Shiv Bhusan Kaushik, Pinkey Nainwani +1
This paper presents the challenges in creating and managing large parallel corpora of 12 major Indian languages (which is soon to be extended to 23 languages) as part of a major co…
A Class of High Resolution Shock Capturing Schemes for Non-linear Hyperbolic Conservation Laws
Ritesh Kumar, M. K. Kadalbajoo
A general procedure to construct a class of simple and efficient high resolution Total Variation Diminishing (TVD) schemes for non-linear hyperbolic conservation laws by introducin…
Nanostructured antimony tin oxide synthesized via chemical precipitation method: its characterization and application in humidity sensing
B. C. Yadav, Rama Singh, Satyendra Singh +2
In present investigation we report the synthesis of antimony tin oxide nanoparticles via chemical precipitation method. The synthesized material was characterized using X-ray diffr…
Tale of tails using rule augmented sequence labeling for event extraction
Ayush Maheshwari, Hrishikesh Patel, Nandan Rathod +3
The problem of event extraction is a relatively difficult task for low resource languages due to the non-availability of sufficient annotated data. Moreover, the task becomes compl…
Alzheimer's Disease Brain MRI Classification: Challenges and Insights
Yi Ren Fung, Ziqiang Guan, Ritesh Kumar +2
In recent years, many papers have reported state-of-the-art performance on Alzheimer's Disease classification with MRI scans from the Alzheimer's Disease Neuroimaging Initiative (A…
Demo of the Linguistic Field Data Management and Analysis System -- LiFE
Siddharth Singh, Ritesh Kumar, Shyam Ratan +1
In the proposed demo, we will present a new software - Linguistic Field Data Management and Analysis System - LiFE (https://github.com/kmi-linguistics/life) - an open-source, web-b…
Low Temperature Two Fluid State in SmB6
Sayantan Ghosh, Sugata Paul, Tamoghna Chattoraj +3
Comprehensive study using DC transport, specific heat, magnetization, and two-coil mutual inductance measurements unveils an understanding of three temperature regimes in SmB:…
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
UniMorph 4.0: Universal Morphology
Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa +93
The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for hundreds of diverse world…
Synergistic Interplay between Surface Polarons and Adsorbates for Photocatalytic Nitrogen Reduction on TiO(110)
Manoj Dey, Ritesh Kumar, Abhishek Kumar Singh
Photocatalytic nitrogen reduction under ambient conditions represents a promising pathway toward sustainable ammonia production. However, the fundamental mechanisms, particularly t…
Aggression-annotated Corpus of Hindi-English Code-mixed Data
Ritesh Kumar, Aishwarya N. Reganti, Akshit Bhatia +1
As the interaction over the web has increased, incidents of aggression and related events like trolling, cyberbullying, flaming, hate speech, etc. too have increased manifold acros…
High Entropy Alloy Nanoparticles Decorated, p-type 2D-Molybdenum Disulphide (MoS2) and Gold Schottky Junction Enhanced Hydrogen Sensing
Kusuma Urs MB, Nirmal Kumar Katiyar, Ritesh Kumar +4
Molybdenum Disulphide (MoS2) is an interesting material which exists in atomically thin multilayers and can be exfoliated into monolayer or a few layers for multiple applications.…
The pressure-enhanced superconducting phase of Sr-BiSe probed by hard point contact spectroscopy
Ritesh Kumar, Shekhar Das, Aastha Vasdev +5
The superconducting systems emerging from topological insulators upon metal ion intercalation or application of high pressure are ideal for investigation of possible topological su…
Diagnosing Data from ICTs to Provide Focused Assistance in Agricultural Adoptions
Ashwin Singh, Mallika Subramanian, Anmol Agarwal +8
In the last two decades, ICTs have played a pivotal role in empowering rural populations in India by making knowledge more accessible. Digital Green (DG) is one such ICT that emplo…
Selective Amplification of the Topological Hall Signal in CrTe: The Role of Molecular Exchange Coupling
Suman Mundlia, Ritesh Kumar, Anshika Mishra +3
Layered magnetic transition-metal chalcogenides (TMCs) are a focal point of research, revealing a variety of intriguing magnetic and topological ground states. Within this family o…
VOILA: Value-of-Information Guided Fidelity Selection for Cost-Aware Multimodal Question Answering
Rahul Atul Bhope, K. R. Jayaram, Vinod Muthusamy +3
Despite significant costs from retrieving and processing high-fidelity visual inputs, most multimodal vision-language systems operate at fixed fidelity levels. We introduce VOILA,…
Developing Universal Dependency Treebanks for Magahi and Braj
Mohit Raj, Shyam Ratan, Deepak Alok +2
In this paper, we discuss the development of treebanks for two low-resourced Indian languages - Magahi and Braj based on the Universal Dependencies framework. The Magahi treebank c…
A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks
Ziqiang Guan, Ritesh Kumar, Yi Ren Fung +2
A plethora of deep learning models have been developed for the task of Alzheimer's disease classification from brain MRI scans. Many of these models report high performance, achiev…
Automatic Identification of Closely-related Indian Languages: Resources and Experiments
Ritesh Kumar, Bornini Lahiri, Deepak Alok +4
In this paper, we discuss an attempt to develop an automatic language identification system for 5 closely-related Indo-Aryan languages of India, Awadhi, Bhojpuri, Braj, Hindi and M…
Aggression in Hindi and English Speech: Acoustic Correlates and Automatic Identification
Ritesh Kumar, Atul Kr. Ojha, Bornini Lahiri +1
In the present paper, we will present the results of an acoustic analysis of political discourse in Hindi and discuss some of the conventionalised acoustic features of aggressive s…
Predicting the Type and Target of Offensive Posts in Social Media
Marcos Zampieri, Shervin Malmasi, Preslav Nakov +3
As offensive content has become pervasive in social media, there has been much research in identifying potentially offensive messages. However, previous work on this topic did not…
Towards automatic identification of linguistic politeness in Hindi texts
Ritesh Kumar
In this paper I present a classifier for automatic identification of linguistic politeness in Hindi texts. I have used the manually annotated corpus of over 25,000 blog comments to…
FaceFilterSense: A Filter-Resistant Face Recognition and Facial Attribute Analysis Framework
Shubham Tiwari, Yash Sethia, Ritesh Kumar +2
With the advent of social media, fun selfie filters have come into tremendous mainstream use affecting the functioning of facial biometric systems as well as image recognition syst…
Topological phases in hydrogenated gallenene and in its group elements
Ranjan Kumar Barik, Ritesh Kumar, Abhishek K. Singh
Nontrivial topology of Dirac (DSMs), Weyl (WSMs) and nodal line semimetals (NLSMs) are delineated by the novel band crossings near the Fermi level in the bulk and the appearance of…
ProtoNER: Few shot Incremental Learning for Named Entity Recognition using Prototypical Networks
Ritesh Kumar, Saurabh Goyal, Ashish Verma +1
Key value pair (KVP) extraction or Named Entity Recognition(NER) from visually rich documents has been an active area of research in document understanding and data extraction doma…
Trajectory-Informed Memory Generation for Self-Improving Agent Systems
Gaodan Fang, Vatche Isahagian, K. R. Jayaram +4
LLM-powered agents face a persistent challenge: learning from their execution experiences to improve future performance. While agents can successfully complete many tasks, they oft…
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse
Ritesh Kumar, Enakshi Nandi, Laishram Niranjana Devi +4
In this paper, we discuss the development of a multilingual dataset annotated with a hierarchical, fine-grained tagset marking different types of aggression and the "context" in wh…
Unravelling magnetic vortex-like excitations through rapid thermal quenching in low-carbon steel
P. C. Mahato, Suprotim Saha, Ritesh Kumar +5
Steel, traditionally valued for its structural strength, emerges in this study as a remarkable material for exploring novel magnetic phenomena. We investigate how common processing…
SIGTYP 2021 Shared Task: Robust Spoken Language Identification
Elizabeth Salesky, Badr M. Abdullah, Sabrina J. Mielke +6
While language identification is a fundamental speech and language processing task, for many languages and language families it remains a challenging task. For many low-resource an…
Cooperative control of multi-agent systems to locate source of an odor
Abhinav Sinha, Rishemjit Kaur, Ritesh Kumar +1
This work targets the problem of odor source localization by multi-agent systems. A hierarchical cooperative control has been put forward to solve the problem of locating source of…
Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultural Domain
Rishemjit Kaur, Arshdeep Singh Bhankhar, Jashanpreet Singh Salh +6
Enabling farmers to access accurate agriculture-related information in their native languages in a timely manner is crucial for the success of the agriculture field. Publicly avail…
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection
Rudresh Dwivedi, Ritesh Kumar, Deepak Chopra +2
The extensive utilization of biometric authentication systems have emanated attackers / imposters to forge user identity based on morphed images. In this attack, a synthetic image…
Language Resources and Technologies for Non-Scheduled and Endangered Indian Languages
Ritesh Kumar, Bornini Lahiri
In the present paper, we will present a survey of the language resources and technologies available for the non-scheduled and endangered languages of India. While there have been d…
Non-ballistic transport characteristics of superconducting point-contacts
Ritesh Kumar, Goutam Sheet
In the "ballistic" regime, the transport across a normal metal (N)/superconductor (S) point-contact is dominated by a quantum process called Andreev reflection. Andreev reflection…
Challenges in Developing LRs for Non-Scheduled Languages: A Case of Magahi
Ritesh Kumar
Magahi is an Indo-Aryan Language, spoken mainly in the Eastern parts of India. Despite having a significant number of speakers, there has been virtually no language resource (LR) o…
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation
Atul Sahay, Ayush Maheshwari, Ritesh Kumar +3
Recursive neural networks (RvNN) have been shown useful for learning sentence representations and helped achieve competitive performance on several natural language inference tasks…
Spin-orbit driven spin depolarization in the ferromagnetic Weyl semimetal Co3Sn2S2
Sandeep Howlader, Surabhi Saha, Ritesh Kumar +4
CoSnS has recently emerged as a ferromagnetic Weyl semi-metal. Theoretical investigation of the spin-split bands predicted half metalicity in the compound. Here, we rep…
Mesoscopic superconductivity and high spin polarization coexisting at metallic point contacts on the Weyl semimetal TaAs
Leena Aggarwal, Sirshendu Gayen, Shekhar Das +5
A Weyl semimetal is a topologically non-trivial phase of matter that hosts mass-less Weyl fermions, the particles that remained elusive for more than 80 years since their theoretic…
HarmPot: An Annotation Framework for Evaluating Offline Harm Potential of Social Media Text
Ritesh Kumar, Ojaswee Bhalla, Madhu Vanthi +2
In this paper, we discuss the development of an annotation schema to build datasets for evaluating the offline harm potential of social media texts. We define "harm potential" as t…
From Phytochemicals to Recipes: Health Indications and Culinary Uses of Herbs and Spices
Rishemjit Kaur, Shuchen Zhang, Bhavika Berwal +3
Herbs and spices each contain about 3000 phytochemicals on average and there is much traditional knowledge on their health benefits. However, there is a lack of systematic study to…
Navigating the Fragrance space Via Graph Generative Models And Predicting Odors
Mrityunjay Sharma, Sarabeshwar Balaji, Pinaki Saha +1
We explore a suite of generative modelling techniques to efficiently navigate and explore the complex landscapes of odor and the broader chemical space. Unlike traditional approach…
MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams
Siddharth Bhatia, Arjit Jain, Pan Li +2
Given a stream of entries in a multi-aspect data setting i.e., entries having multiple dimensions, how can we detect anomalous activities in an unsupervised manner? For example, in…
Convolutional Neural Network Optimization for Beehive Classification Using Bioacoustic Signals
Harshit, Rahul Jana, Ritesh Kumar
The behavior of honeybees is an important ecological phenomenon not only in terms of honey and beeswax production but also due to the proliferation of flora and fauna around it. Th…
What a million Indian farmers say?: A crowdsourcing-based method for pest surveillance
Poonam Adhikari, Ritesh Kumar, S. R. S Iyengar +1
Many different technologies are used to detect pests in the crops, such as manual sampling, sensors, and radar. However, these methods have scalability issues as they fail to cover…
Developing a Multilingual Annotated Corpus of Misogyny and Aggression
Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar +5
In this paper, we discuss the development of a multilingual annotated corpus of misogyny and aggression in Indian English, Hindi, and Indian Bangla as part of a project on studying…
An Explainable AI based approach for Monitoring Animal Health
Rahul Jana, Shubham Dixit, Mrityunjay Sharma +1
Monitoring cattle health and optimizing yield are key challenges faced by dairy farmers due to difficulties in tracking all animals on the farm. This work aims to showcase modern d…
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi
Ritesh Kumar, Siddharth Singh, Shyam Ratan +6
In this paper we discuss an in-progress work on the development of a speech corpus for four low-resource Indo-Aryan languages -- Awadhi, Bhojpuri, Braj and Magahi using the field m…
Evidence of a pseudogap driven by competing orders of multi-band origin in the ferromagnetic superconductor SrCeFBiS
Mohammad Aslam, Arpita Paul, Gohil S. Thakur +7
From temperature and magnetic field dependent point-contact spectroscopy on the ferromagnetic superconductor SrCeFBiS (bulk superconducting = 2.5 K) we ob…
Fine-Tuning and Evaluating Conversational AI for Agricultural Advisory
Sanyam Singh, Naga Ganesh, Vineet Singh +10
Large Language Models show promise for agricultural advisory, yet vanilla models exhibit unsupported recommendations, generic advice lacking specific, actionable detail, and commun…
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)
Marcos Zampieri, Shervin Malmasi, Preslav Nakov +3
We present the results and the main findings of SemEval-2019 Task 6 on Identifying and Categorizing Offensive Language in Social Media (OffensEval). The task was based on a new dat…
Olfactory Label Prediction on Aroma-Chemical Pairs
Laura Sisson, Aryan Amit Barsainyan, Mrityunjay Sharma +1
The application of deep learning techniques on aroma-chemicals has resulted in models more accurate than human experts at predicting olfactory qualities. However, public research i…
Translating Politeness Across Cultures: Case of Hindi and English
Ritesh Kumar, Girish Nath Jha
In this paper, we present a corpus based study of politeness across two languages-English and Hindi. It studies the politeness in a translated parallel corpus of Hindi and English…
Giant Enhancement of Superconductivity in Zr Point Contacts
Mohammad Aslam, Chandan K. Singh, Shekhar Das +6
For certain complex superconducting systems, the superconducting properties get enhanced under mesoscopic point contacts made of elemental non-superconducting metals. However, unde…
One-Bit Distributed Mean Estimation with Unknown Variance
Ritesh Kumar, Shashank Vatedka
In this work, we study the problem of distributed mean estimation with 1-bit communication constraints when the variance is unknown. We focus on the setting where each user has acc…
FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows
Evelyn Duesterwald, Siyu Huo, Vatche Isahagian +7
Business process automation (BPA) that leverages Large Language Models (LLMs) to convert natural language (NL) instructions into structured business process artifacts is becoming a…