Aman Chadha

Orcid: 0000-0001-6621-9003

According to our database1, Aman Chadha authored at least 95 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DM-Codec: Distilling Multimodal Representations for Speech Tokenization.
CoRR, 2024

Overview of Factify5WQA: Fact Verification through 5W Question-Answering.
CoRR, 2024

MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation.
CoRR, 2024

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types.
CoRR, 2024

Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders.
CoRR, 2024

RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering.
CoRR, 2024

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs.
CoRR, 2024

Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data.
CoRR, 2024

Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification.
CoRR, 2024

The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks.
CoRR, 2024

How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions.
CoRR, 2024

Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models.
CoRR, 2024

Evaluating Open Language Models Across Task Types, Application Domains, and Reasoning Types: An In-Depth Experimental Analysis.
CoRR, 2024

Investigating Annotator Bias in Large Language Models for Hate Speech Detection.
CoRR, 2024

Decoding the Diversity: A Review of the Indic AI Research Landscape.
CoRR, 2024

Cognitively Inspired Energy-Based World Models.
CoRR, 2024

The Evolution of Multimodal Model Architectures.
CoRR, 2024

How Culturally Aware are Vision-Language Models?
CoRR, 2024

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models.
CoRR, 2024

Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey.
CoRR, 2024

Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications.
CoRR, 2024

Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement.
CoRR, 2024

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions.
CoRR, 2024

FACTOID: FACtual enTailment fOr hallucInation Detection.
CoRR, 2024

"Sorry, Come Again?" Prompting - Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing.
CoRR, 2024

Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation.
CoRR, 2024

Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models.
CoRR, 2024

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models.
CoRR, 2024

PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models.
CoRR, 2024

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization.
CoRR, 2024

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review.
CoRR, 2024

Cause and Effect: Can Large Language Models Truly Understand Causality?
CoRR, 2024

From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings.
CoRR, 2024

Developing a Framework for Auditing Large Language Models Using Human-in-the-Loop.
CoRR, 2024

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach.
CoRR, 2024

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.
CoRR, 2024

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation.
CoRR, 2024

Gaussian Adaptive Attention is All You Need: Robust Contextual Representations Across Multiple Modalities.
CoRR, 2024

The What, Why, and How of Context Length Extension Techniques in Large Language Models - A Detailed Survey.
CoRR, 2024

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.
CoRR, 2024

A Natural Language Processing Model on BERT and YAKE Technique for Keyword Extraction on Sustainability Reports.
IEEE Access, 2024

Causality Guided Disentanglement for Cross-Platform Hate Speech Detection.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries.
Proceedings of the Advances in Information Retrieval, 2024

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models.
CoRR, 2023

SEPSIS: I Can Catch Your Lies - A New Paradigm for Deception Detection.
CoRR, 2023

Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring.
CoRR, 2023

Counter Turing Test CT^2: AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index.
CoRR, 2023

CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling.
CoRR, 2023

RESTORE: Graph Embedding Assessment Through Reconstruction.
CoRR, 2023

Artificial Intelligence in Career Counseling: A Test Case with ResumAI.
CoRR, 2023

Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi.
CoRR, 2023

Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers.
CoRR, 2023

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering.
CoRR, 2023

IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images.
CoRR, 2023

Few-shot Multimodal Multitask Multilingual Learning.
CoRR, 2023

Facial Emotion Recognition.
CoRR, 2023

PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Using Process Enhancement to Predict Organizational Citizenship Behavior via the Role of Sustainable Training Practices.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

I See What You Hear: A Vision-Inspired Method to Localize Words.
Proceedings of the IEEE International Conference on Acoustics, 2023

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI).
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Factify 2: A multimodal fake news and satire news dataset.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Findings of factify 2: multimodal fake news detection.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
I see what you hear: a vision-inspired method to localize words.
CoRR, 2022

2021
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability.
CoRR, 2021

2020
iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks.
Comput. Vis. Media, 2020

iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering.
CoRR, 2020

2017
Cloud computing in optimizing supply chain management of automotive component industry.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

2015
Dual-Layer Video Encryption using RSA Algorithm.
CoRR, 2015

2014
ARC Sort: Enhanced and Time Efficient Sorting Algorithm.
CoRR, 2014

2013
Multi-personality partitioning for heterogeneous systems.
Proceedings of the 2013 International Conference on Field-Programmable Technology, 2013

2012
Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval
CoRR, 2012

Analysis of a Modern Voice Morphing Approach using Gaussian Mixture Models for Laryngectomees
CoRR, 2012

2011
Face Recognition Using Discrete Cosine Transform for Global and Local Features
CoRR, 2011

A robust, low-cost approach to Face Detection and Face Recognition
CoRR, 2011

Design and Simulation of an 8-bit
CoRR, 2011

Text-Independent Speaker Recognition for Low SNR Environments with Encryption
CoRR, 2011

Audio Watermarking with Error Correction
CoRR, 2011

Rotation, Scaling and Translation Analysis of Biometric Signature Templates
CoRR, 2011


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