Aman Chadha
Orcid: 0000-0001-6621-9003
According to our database1,
Aman Chadha
authored at least 95 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
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
CoRR, 2024
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
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
CoRR, 2024
CoRR, 2024
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions.
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
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
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings.
CoRR, 2024
CoRR, 2024
CoRR, 2024
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.
CoRR, 2024
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
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
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
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
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
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
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
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023
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
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
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
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
2014
2013
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
CoRR, 2011
CoRR, 2011
CoRR, 2011