Rotation, Scaling and Translation Analysis of Biometric Signature Templates - Aman Chadha; Divya Jyoti; M. Mani Roja (CoRR, 2011)

Audio Watermarking with Error Correction - Aman Chadha; Sandeep Gangundi; Rishabh Goel; Hiren Dave; M. Mani Roja (CoRR, 2011)

Text-Independent Speaker Recognition for Low SNR Environments with Encryption - Aman Chadha; Divya Jyoti; M. Mani Roja (CoRR, 2011)

Design and Simulation of an 8-bit - Aman Chadha; Divya Jyoti; M. G. Bhatia (CoRR, 2011)

A robust, low-cost approach to Face Detection and Face Recognition - Divya Jyoti; Aman Chadha; Pallavi P. Vaidya; M. Mani Roja (CoRR, 2011)

Face Recognition Using Discrete Cosine Transform for Global and Local Features - Aman Chadha; Pallavi P. Vaidya; M. Mani Roja (CoRR, 2011)

Analysis of a Modern Voice Morphing Approach using Gaussian Mixture Models for Laryngectomees - Aman Chadha; Bharatraaj Savardekar; Jay Padhya (CoRR, 2012)

Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval - Aman Chadha; Sushmit Mallik; Ravdeep Johar (CoRR, 2012)

Multi-personality partitioning for heterogeneous systems. - Anthony E. Gregerson; Aman Chadha; Katherine Morrow (FPT, 2013)

ARC Sort: Enhanced and Time Efficient Sorting Algorithm. - Ankit R. Chadha; Rishikesh Misal; Tanaya Mokashi; Aman Chadha (CoRR, 2014)

Dual-Layer Video Encryption using RSA Algorithm. - Aman Chadha; Sushmit Mallik; Ankit R. Chadha; Ravdeep Johar; M. Mani Roja (CoRR, 2015)

Cloud computing in optimizing supply chain management of automotive component industry. - Artus Krohn-Grimberghe; Akriti Gupta; Aman Chadha; Ranjana Vyas (IML, 2017)

iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering. - Aman Chadha; Gurneet Arora; Navpreet Kaloty (CoRR, 2020)

iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks. - Aman Chadha; John Britto; M. Mani Roja (Comput. Vis. Media, 2020)

iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability. - Aman Chadha; Vinija Jain (CoRR, 2021)

I see what you hear: a vision-inspired method to localize words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Minsik Cho; Aman Chadha; Ashish Shrivastava 001; Oncel Tuzel; Devang Naik (CoRR, 2022)

FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering. - Anku Rani; S. M. Towhidul Islam Tonmoy; Dwip Dalal; Shreya Gautam; Megha Chakraborty; Aman Chadha; Amit P. Sheth; Amitava Das 001 (ACL (1), 2023)

ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models. - Thilini Wijesiriwardene; Ruwan Wickramarachchi; Bimal G. Gajera; Shreeyash Mukul Gowaikar; Chandan Gupta; Aman Chadha; Aishwarya Naresh Reganti; Amit P. Sheth; Amitava Das 001 (ACL (Findings), 2023)

Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes. - Shreyash Mishra; S. Suryavardan; Megha Chakraborty; Parth Patwa; Anku Rani; Aman Chadha; Aishwarya Naresh Reganti; Amitava Das 001; Amit P. Sheth; Manoj Chinnakotla; Asif Ekbal; Srijan Kumar (DE-FACTIFY@AAAI, 2023)

Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes. - Shreyash Mishra; S. Suryavardan; Parth Patwa; Megha Chakraborty; Anku Rani; Aishwarya Naresh Reganti; Aman Chadha; Amitava Das 001; Amit P. Sheth; Manoj Chinnakotla; Asif Ekbal; Srijan Kumar (DE-FACTIFY@AAAI, 2023)

Findings of factify 2: multimodal fake news detection. - S. Suryavardan; Shreyash Mishra; Megha Chakraborty; Parth Patwa; Anku Rani; Aman Chadha; Aishwarya Naresh Reganti; Amitava Das 001; Amit P. Sheth; Manoj Chinnakotla; Asif Ekbal; Srijan Kumar (DE-FACTIFY@AAAI, 2023)

Factify 2: A multimodal fake news and satire news dataset. - S. Suryavardan; Shreyash Mishra; Parth Patwa; Megha Chakraborty; Anku Rani; Aishwarya Naresh Reganti; Aman Chadha; Amitava Das 001; Amit P. Sheth; Manoj Chinnakotla; Asif Ekbal; Srijan Kumar (DE-FACTIFY@AAAI, 2023)

FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering. - Megha Chakraborty; Khushbu Pahwa; Anku Rani; Shreyas Chatterjee; Dwip Dalal; Harshit Dave; Ritvik G; Preethi Gurumurthy; Adarsh Mahor; Samahriti Mukherjee; Aditya Pakala; Ishan Paul; et al. (EMNLP, 2023)

Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI). - Megha Chakraborty; S. M. Towhidul Islam Tonmoy; S. M. Mehedi Zaman; Shreya Gautam; Tanay Kumar; Krish Sharma; Niyar R. Barman; Chandan Gupta; Vinija Jain; Aman Chadha; Amit P. Sheth; Amitava Das 001 (EMNLP, 2023)

The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations. - Vipula Rawte; Swagata Chakraborty; Agnibh Pathak; Anubhav Sarkar; S. M. Towhidul Islam Tonmoy; Aman Chadha; Amit P. Sheth; Amitava Das 001 (EMNLP, 2023)

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. - Yixin Wan; Jieyu Zhao 001; Aman Chadha; Nanyun Peng 001; Kai-Wei Chang (EMNLP (Findings), 2023)

I See What You Hear: A Vision-Inspired Method to Localize Words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Aman Chadha; Ashish Srivastava; Minsik Cho; Oncel Tuzel; Devang Naik (ICASSP, 2023)

Using Process Enhancement to Predict Organizational Citizenship Behavior via the Role of Sustainable Training Practices. - Akriti Gupta; Aman Chadha; Mayank Kumar; Vijaishri Tewari; Ranjana Vyas (ICCPR, 2023)

PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. - Paras Sheth; Tharindu Kumarage; Raha Moraffah; Aman Chadha; Huan Liu 001 (ECML/PKDD (1), 2023)

Facial Emotion Recognition. - Arpita Vats; Aman Chadha (CoRR, 2023)

Few-shot Multimodal Multitask Multilingual Learning. - Aman Chadha; Vinija Jain (CoRR, 2023)

IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images. - Varuna Krishna; S. Suryavardan; Shreyash Mishra; Sathyanarayanan Ramamoorthy; Parth Patwa; Megha Chakraborty; Aman Chadha; Amitava Das 001; Amit P. Sheth (CoRR, 2023)

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering. - Megha Chakraborty; Khushbu Pahwa; Anku Rani; Adarsh Mahor; Aditya Pakala; Arghya Sarkar; Harshit Dave; Ishan Paul; Janvita Reddy; Preethi Gurumurthy; Ritvik G; Samahriti Mukherjee; et al. (CoRR, 2023)

Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers. - Dominick Reilly; Aman Chadha; Srijan Das (CoRR, 2023)

Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi. - Maithili Sabane; Onkar Litake; Aman Chadha (CoRR, 2023)

Artificial Intelligence in Career Counseling: A Test Case with ResumAI. - Muhammad Rahman 007; Sachi Figliolini; Joyce Kim; Eivy Cedeno; Charles Kleier; Chirag Shah 001; Aman Chadha (CoRR, 2023)

RESTORE: Graph Embedding Assessment Through Reconstruction. - Hong Yung Yip; Chidaksh Ravuru; Neelabha Banerjee; Shashwat Jha; Amit P. Sheth; Aman Chadha; Amitava Das 001 (CoRR, 2023)

CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling. - Mohsin Ali; Kandukuri Sai Teja; Neeharika Gupta; Parth Patwa; Anubhab Chatterjee; Vinija Jain; Aman Chadha; Amitava Das 001 (CoRR, 2023)

Counter Turing Test CT^2: AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index. - Megha Chakraborty; S. M. Towhidul Islam Tonmoy; S. M. Mehedi Zaman; Krish Sharma; Niyar R. Barman; Chandan Gupta; Shreya Gautam; Tanay Kumar; Vinija Jain; Aman Chadha; Amit P. Sheth; Amitava Das 001 (CoRR, 2023)

Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring. - Ankitha Sudarshan; Vinay Samuel; Parth Patwa; Ibtihel Amara; Aman Chadha (CoRR, 2023)

SEPSIS: I Can Catch Your Lies - A New Paradigm for Deception Detection. - Anku Rani; Dwip Dalal; Shreya Gautam; Pankaj Gupta; Vinija Jain; Aman Chadha; Amit P. Sheth; Amitava Das 001 (CoRR, 2023)

Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models. - Ibtihel Amara; Vinija Jain; Aman Chadha (CoRR, 2023)

CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. - Akash Ghosh; Arkadeep Acharya; Raghav Jain; Sriparna Saha 001; Aman Chadha; Setu Sinha (AAAI, 2024)

MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention. - Prince Jha; Raghav Jain; Konika Mandal; Aman Chadha; Sriparna Saha 001; Pushpak Bhattacharyya (ACL (1), 2024)

Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development. - Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha 001; Aman Chadha; Samrat Mondal (ACL (Findings), 2024)

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges. - Vinay Samuel; Houda Aynaou; Arijit Ghosh Chowdhury; Karthik Venkat Ramanan; Aman Chadha (ACL (Student Research Workshop), 2024)

Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. - Paras Sheth; Tharindu Kumarage; Raha Moraffah; Aman Chadha; Huan Liu 001 (IEEE Big Data, 2024)

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. - Maryam Amirizaniani; Elias Martin; Tanya Roosta; Aman Chadha; Chirag Shah 001 (CIKM, 2024)

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering. - Arijit Ghosh Chowdhury; Aman Chadha (EACL (Student Research Workshop), 2024)

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models. - Thilini Wijesiriwardene; Ruwan Wickramarachchi; Aishwarya Naresh Reganti; Vinija Jain; Aman Chadha; Amit P. Sheth; Amitava Das 001 (EACL (Findings), 2024)

MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries. - Akash Ghosh; Arkadeep Acharya; Prince Jha; Sriparna Saha 001; Aniket Gaudgaul; Rajdeep Majumdar; Aman Chadha; Raghav Jain; Setu Sinha; Shivani Agarwal 005 (ECIR (5), 2024)

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs. - Preetam Prabhu Srikar Dammu; Himanshu Naidu; Mouly Dewan; YoungMin Kim; Tanya Roosta; Aman Chadha; Chirag Shah 001 (EMNLP (Findings), 2024)

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models. - Pranab Sahoo; Prabhash Meharia; Akash Ghosh; Sriparna Saha 001; Vinija Jain; Aman Chadha (EMNLP (Findings), 2024)

Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models. - Chenyang Gao; Brecht Desplanques; Chelsea J.-T. Ju; Aman Chadha; Andreas Stolcke (ICASSP, 2024)

Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. - Paras Sheth; Raha Moraffah; Tharindu S. Kumarage; Aman Chadha; Huan Liu 001 (WSDM, 2024)

OffensiveLang: A Community-Based Implicit Offensive Language Dataset. - Amit Das; Mostafa Rahgouy; Dongji Feng; Zheng Zhang; Tathagata Bhattacharya; Nilanjana Raychawdhary; Fatemeh Jamshidi; Vinija Jain; Aman Chadha; Mary Sandage; Lauramarie Pope; Gerry V. Dozier; et al. (IEEE Access, 2024)

A Natural Language Processing Model on BERT and YAKE Technique for Keyword Extraction on Sustainability Reports. - Akriti Gupta; Aman Chadha; Vijaishri Tewari (IEEE Access, 2024)

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models. - S. M. Towhidul Islam Tonmoy; S. M. Mehedi Zaman; Vinija Jain; Anku Rani; Vipula Rawte; Aman Chadha; Amitava Das 001 (CoRR, 2024)

The What, Why, and How of Context Length Extension Techniques in Large Language Models - A Detailed Survey. - Saurav Pawar; S. M. Towhidul Islam Tonmoy; S. M. Mehedi Zaman; Vinija Jain; Aman Chadha; Amitava Das 001 (CoRR, 2024)

Gaussian Adaptive Attention is All You Need: Robust Contextual Representations Across Multiple Modalities. - Georgios Ioannides; Aman Chadha; Aaron Elkins (CoRR, 2024)

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation. - Shivang Chopra; Suraj Kothawade; Houda Aynaou; Aman Chadha (CoRR, 2024)

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications. - Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha 001; Vinija Jain; Samrat Mondal; Aman Chadha (CoRR, 2024)

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. - Maryam Amirizaniani; Tanya Roosta; Aman Chadha; Chirag Shah 001 (CoRR, 2024)

Developing a Framework for Auditing Large Language Models Using Human-in-the-Loop. - Maryam Amirizaniani; Jihan Yao; Adrian Lavergne; Elizabeth Snell Okada; Aman Chadha; Tanya Roosta; Chirag Shah 001 (CoRR, 2024)

Cause and Effect: Can Large Language Models Truly Understand Causality? - Swagata Ashwani; Kshiteesh Hegde; Nishith Reddy Mannuru; Mayank Jindal; Dushyant Singh Sengar; Krishna Chaitanya Rao Kathala; Dishant Banga; Vinija Jain; Aman Chadha (CoRR, 2024)

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review. - Arpita Vats; Vinija Jain; Rahul Raja; Aman Chadha (CoRR, 2024)

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. - Tharindu Kumarage; Garima Agrawal; Paras Sheth; Raha Moraffah; Aman Chadha; Joshua Garland; Huan Liu 001 (CoRR, 2024)

PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models. - Fiona Anting Tan; Gerard Christopher Yeo; Fanyou Wu; Weijie Xu; Vinija Jain; Aman Chadha; Kokil Jaidka; Yang Liu 003; See-Kiong Ng (CoRR, 2024)

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models. - Arijit Ghosh Chowdhury; Md Mofijul Islam; Vaibhav Kumar; Faysal Hossain Shezan; Vaibhav Kumar; Vinija Jain; Aman Chadha (CoRR, 2024)

Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models. - Smriti Singh; Shuvam Keshari; Vinija Jain; Aman Chadha (CoRR, 2024)

"Sorry, Come Again?" Prompting - Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing. - Vipula Rawte; S. M. Towhidul Islam Tonmoy; S. M. Mehedi Zaman; Prachi Priya; Aman Chadha; Amit P. Sheth; Amitava Das 001 (CoRR, 2024)

FACTOID: FACtual enTailment fOr hallucInation Detection. - Vipula Rawte; S. M. Towhidul Islam Tonmoy; Krishnav Rajbangshi; Shravani Nag; Aman Chadha; Amit P. Sheth; Amitava Das 001 (CoRR, 2024)

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions. - Akash Ghosh; Arkadeep Acharya; Sriparna Saha 001; Vinija Jain; Aman Chadha (CoRR, 2024)

Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications. - Charith Chandra Sai Balne; Sreyoshi Bhaduri; Tamoghna Roy; Vinija Jain; Aman Chadha (CoRR, 2024)

Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey. - Pranab Sahoo; Prabhash Meharia; Akash Ghosh; Sriparna Saha 001; Vinija Jain; Aman Chadha (CoRR, 2024)

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models. - Mahsa Khoshnoodi; Vinija Jain; Mingye Gao; Malavika Srikanth; Aman Chadha (CoRR, 2024)

The Evolution of Multimodal Model Architectures. - Shakti N. Wadekar; Abhishek Chaurasia; Aman Chadha; Eugenio Culurciello (CoRR, 2024)

Cognitively Inspired Energy-Based World Models. - Alexi Gladstone; Ganesh Nanduru; Md Mofijul Islam; Aman Chadha; Jundong Li; Tariq Iqbal (CoRR, 2024)

Decoding the Diversity: A Review of the Indic AI Research Landscape. - Sankalp KJ; Vinija Jain; Sreyoshi Bhaduri; Tamoghna Roy; Aman Chadha (CoRR, 2024)

Investigating Annotator Bias in Large Language Models for Hate Speech Detection. - Amit Das; Zheng Zhang; Fatemeh Jamshidi; Vinija Jain; Aman Chadha; Nilanjana Raychawdhary; Mary Sandage; Lauramarie Pope; Gerry V. Dozier; Cheryl D. Seals (CoRR, 2024)

Evaluating Open Language Models Across Task Types, Application Domains, and Reasoning Types: An In-Depth Experimental Analysis. - Neelabh Sinha; Vinija Jain; Aman Chadha (CoRR, 2024)

Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models. - Devichand Budagam; Sankalp KJ; Ashutosh Kumar; Vinija Jain; Aman Chadha (CoRR, 2024)

How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions. - Julia Kharchenko; Tanya Roosta; Aman Chadha; Chirag Shah 001 (CoRR, 2024)

The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks. - Niyar R. Barman; Krish Sharma; Ashhar Aziz; Shashwat Bajpai; Shwetangshu Biswas; Vasu Sharma; Vinija Jain; Aman Chadha; Amit P. Sheth; Amitava Das 001 (CoRR, 2024)

Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification. - Christos Constantinou; Georgios Ioannides; Aman Chadha; Aaron Elkins; Edwin Simpson (CoRR, 2024)

Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data. - Atmika Gorti; Manas Gaur; Aman Chadha (CoRR, 2024)

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs. - Ronit Singhal; Pransh Patwa; Parth Patwa; Aman Chadha; Amitava Das 001 (CoRR, 2024)

RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering. - Pratyush Kumar; Kuber Vijaykumar Bellad; Bharat Vadlamudi; Aman Chadha (CoRR, 2024)

Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders. - Georgios Ioannides; Adrian Kieback; Aman Chadha; Aaron Elkins (CoRR, 2024)

MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation. - Gurucharan Marthi Krishna Kumar; Aman Chadha; Janine D. Mendola; Amir Shmuel (CoRR, 2024)

Overview of Factify5WQA: Fact Verification through 5W Question-Answering. - Suryavardan S; Anku Rani; Parth Patwa; Aishwarya N. Reganti; Vinija Jain; Aman Chadha; Amitava Das 001; Amit P. Sheth; Asif Ekbal (CoRR, 2024)

DM-Codec: Distilling Multimodal Representations for Speech Tokenization. - Md Mubtasim Ahasan; Md Fahim; Tasnim Mohiuddin; A. K. M. Mahbubur Rahman; Aman Chadha; Tariq Iqbal; M. Ashraful Amin; Md Mofijul Islam; Amin Ahsan Ali (CoRR, 2024)

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models. - Vipula Rawte; Sarthak Jain; Aarush Sinha; Garv Kaushik; Aman Bansal; Prathiksha Rumale Vishwanath; Samyak Rajesh Jain; Aishwarya Naresh Reganti; Vinija Jain; Aman Chadha; Amit P. Sheth; Amitava Das 001 (CoRR, 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CoRR, 2024)

Visual Counter Turing Test (VCT2): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (VAI). - Nasrin Imanpour; Shashwat Bajpai; Subhankar Ghosh; Sainath Reddy Sankepally; Abhilekh Borah; Hasnat Md Abdullah; Nishoak Kosaraju; Shreyas Dixit; Ashhar Aziz; Shwetangshu Biswas; Vinija Jain; Aman Chadha; et al. (CoRR, 2024)

Improving speaker verification robustness with synthetic emotional utterances. - Nikhil Kumar Koditala; Chelsea Jui-Ting Ju; Ruirui Li 002; Minho Jin; Aman Chadha; Andreas Stolcke (CoRR, 2024)

On the Feasibility of Vision-Language Models for Time-Series Classification. - Vinay Prithyani; Mohsin Mohammed; Richa Gadgil; Ricardo Buitrago; Vinija Jain; Aman Chadha (CoRR, 2024)

YinYang-Align: A new Benchmark for Competing Objectives and Introducing Multi-Objective Preference based Text-to-Image Alignment. - Amitava Das 001; Yaswanth Narsupalli; Gurpreet Singh; Vinija Jain; Vasu Sharma; Suranjana Trivedy; Aman Chadha; Amit P. Sheth (ACL (Findings), 2025)

DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization. - Amitava Das 001; Suranjana Trivedy; Danush Khanna; Yaswanth Narsupalli; Basab Ghosh; Rajarshi Roy 007; Gurpreet Singh; Vinija Jain; Vasu Sharma; Aishwarya Naresh Reganti; Aman Chadha (ACL (Findings), 2025)

SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval. - Aakash Mahalingam; Vinesh Kumar Gande; Aman Chadha; Vinija Jain; Divya Chaudhary (COLING Workshops, 2025)

From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings. - Aishik Rakshit; Smriti Singh; Shuvam Keshari; Arijit Ghosh Chowdhury; Vinija Jain; Aman Chadha (COLING, 2025)

LLMsAgainstHate@NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs. - Rushendra Sidibomma; Pransh Patwa; Parth Patwa; Aman Chadha; Vinija Jain; Amitava Das 001 (COLING Workshops, 2025)

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types. - Neelabh Sinha; Vinija Jain; Aman Chadha (COLING Workshops, 2025)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting. - Thilini Wijesiriwardene; Ruwan Wickramarachchi; Sreeram Reddy Vennam; Vinija Jain; Aman Chadha; Amitava Das 001; Ponnurangam Kumaraguru; Amit P. Sheth (COLING, 2025)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CVPR, 2025)

PHAnToM: Persona-Based Prompting Has an Effect on Theory-of-Mind Reasoning in Large Language Models. - Gerard Yeo; Fiona Tan An Ting; Kokil Jaidka; Shaz Furniturewala; Fanyou Wu; Weijie Xu; Vinija Jain; Aman Chadha; Yang Liu 003; See-Kiong Ng (ICWSM, 2025)

How Culturally Aware Are Vision-Language Models? - Olena Burda-Lassen; Aman Chadha; Shashank Goswami; Vinija Jain (IPAS, 2025)

Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation. - Sanyam Lakhanpal; Shivang Chopra; Vinija Jain; Aman Chadha; Man Luo (WACV, 2025)

COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models. - Priyanshul Govil; Hemang Jain; Vamshi Bonagiri; Aman Chadha; Ponnurangam Kumaraguru; Manas Gaur; Sanorita Dey (WebSci, 2025)

Potential and Perils of Large Language Models as Judges of Unstructured Textual Data. - Rewina Bedemariam; Natalie Perez; Sreyoshi Bhaduri; Satya Kapoor; Alex Gil; Elizabeth Conjar; Ikkei Itoku; David Theil; Aman Chadha; Naumaan Nayyar (CoRR, 2025)

IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding. - Sankalp KJ; Ashutosh Kumar; Laxmaan Balaji; Nikunj Kotecha; Vinija Jain; Aman Chadha; Sreyoshi Bhaduri (CoRR, 2025)

Multilingual State Space Models for Structured Question Answering in Indic Languages. - Arpita Vats; Rahul Raja; Mrinal Mathur; Vinija Jain; Aman Chadha (CoRR, 2025)

From Fog to Failure: How Dehazing Can Harm Clear Image Object Detection. - Ashutosh Kumar; Aman Chadha (CoRR, 2025)

YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment. - Amitava Das 001; Yaswanth Narsupalli; Gurpreet Singh; Vinija Jain; Vasu Sharma; Suranjana Trivedy; Aman Chadha; Amit P. Sheth (CoRR, 2025)

LoRACode: LoRA Adapters for Code Embeddings. - Saumya Chaturvedi; Aman Chadha; Laurent Bindschaedler (CoRR, 2025)

Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods. - Shaina Raza; Rizwan Qureshi; Marcelo Lotif; Aman Chadha; Deval Pandya; Christos Emmanouilidis (CoRR, 2025)

Can Large Language Models Infer Causal Relationships from Real-World Text? - Ryan Saklad; Aman Chadha; Oleg V. Pavlov; Raha Moraffah (CoRR, 2025)

AdversariaL attacK sAfety aLIgnment(ALKALI): Safeguarding LLMs through GRACE: Geometric Representation-Aware Contrastive Enhancement- Introducing Adversarial Vulnerability Quality Index (AVQI). - Danush Khanna; Krishna Kumar; Basab Ghosh; Vinija Jain; Vasu Sharma; Aman Chadha; Amitava Das 001 (CoRR, 2025)

Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations. - Abhilekh Borah; Chhavi Sharma; Danush Khanna; Utkarsh Bhatt; Gurpreet Singh; Hasnat Md Abdullah; Raghav Kaushik Ravi; Vinija Jain; Jyoti Patel; Shubham Singh; Vasu Sharma; Arpita Vats; et al. (CoRR, 2025)

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives. - Batool Haider; Atmika Gorti; Aman Chadha; Manas Gaur (CoRR, 2025)

QuickSilver - Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization. - Danush Khanna; Aditya Kumar Guru; Srivarshinee Sridhar; Zidan Ahmed; Rubhav Bahirwani; Meetu Malhotra; Vinija Jain; Aman Chadha; Amitava Das 001; Kripabandhu Ghosh (CoRR, 2025)

Peccavi: Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images. - Shreyas Dixit; Ashhar Aziz; Shashwat Bajpai; Vasu Sharma; Aman Chadha; Vinija Jain; Amitava Das 001 (CoRR, 2025)

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact. - Rizwan Qureshi; Ranjan Sapkota; Abbas Shah; Amgad Muneer; Anas Zafar; Ashmal Vayani; Maged Shoman; Abdelrahman B. M. Eldaly; Kai Zhang; Ferhat Sadak; Shaina Raza; Xinqi Fan; et al. (CoRR, 2025)

Energy-Based Transformers are Scalable Learners and Thinkers. - Alexi Gladstone; Ganesh Nanduru; Md Mofijul Islam; Peixuan Han; Hyeonjeong Ha; Aman Chadha; Yilun Du; Heng Ji 001; Jundong Li; Tariq Iqbal (CoRR, 2025)

RADIANT: Retrieval AugmenteD entIty-context AligNmenT - Introducing RAG-ability and Entity-Context Divergence. - Vipula Rawte; Rajarshi Roy 007; Gurpreet Singh; Danush Khanna; Yaswanth Narsupalli; Basab Ghosh; Abhay Gupta; Argha Kamal Samanta; Aditya Shingote; Aadi Krishna Vikram; Vinija Jain; Aman Chadha; et al. (CoRR, 2025)

MOD-X: A Modular Open Decentralized eXchange Framework proposal for Heterogeneous Interoperable Artificial Intelligence Agents. - Georgios Ioannides; Christos Constantinou; Vinija Jain; Aman Chadha; Aaron Elkins (CoRR, 2025)

Investigating Hallucination in Conversations for Low Resource Languages. - Amit Das; Md Najib Hasan; Souvika Sarkar; Zheng Zhang; Fatemeh Jamshidi; Tathagata Bhattacharya; Nilanjana Raychawdhury; Dongji Feng; Vinija Jain; Aman Chadha (CoRR, 2025)

TRACEALIGN - Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs. - Amitava Das 001; Vinija Jain; Aman Chadha (CoRR, 2025)

AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization. - Amitava Das 001; Abhilekh Borah; Vinija Jain; Aman Chadha (CoRR, 2025)

I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations. - Julia Kharchenko; Tanya Roosta; Aman Chadha; Chirag Shah 001 (CoRR, 2025)

PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction. - Leon Garza; Anantaa Kotal; Aritran Piplai; Lavanya Elluri; Prajit Das; Aman Chadha (CoRR, 2025)