Aman Chadha • Research
About • Works • Resume • Research
Research
Citations: 5611 • h-index: 30 • Scholar
Awards
Talks/Tutorials
• University of Cincinnati/Cincinnati Children's Hospital: GenAI in Healthcare | Sept 2024 (Talk)
• University of Maryland, Baltimore County: Grounding LLMs | Sept 2024 (Talk, Slides)
• University of South Carolina: Agentic AI | Nov 2024 (Talk, Slides)
• San Diego State University: Transformer Architecture | Nov 2024 (Talk, Slides)
• Worcester Polytechnic Institute: Responsible AI | April 2025 (Talk, Slides)
• San Diego State University (Faculty Lecture): Reasoning LLMs | April 2025 (Talk, Slides)
• BITS Pilani: The Evolution of LLM Preference Optimization | Oct 2025 (Talk, Slides)
• University of South Carolina: Model Compression for On-Device AI | Oct 2025 (Talk, Slides)
• San Diego State University: Machine Learning Algorithms: A Comparative Analysis | Oct 2025 (Talk, Slides)
• Worcester Polytechnic Institute: Agentic Reinforcement Learning | Dec 2025 (Talk, Slides)
• Northeastern University: LLM-as-a-Judge / Autoraters | March 2026 (Talk, Slides)
• University of Cincinnati/Cincinnati Children's Hospital: Beyond LLMs: Agentic AI for Biomedicine | April 2026 (Talk, Slides)
• California State University, Pomona: Building Agent Skills: A Systems Perspective | May 2026 (Talk, Slides)
• LREC-COLING 2024 Tutorial: Hallucination in Large Language Models (Abstract, Proposal, Slides)
• AAAI 2025 Tutorial: Hallucination in Large Multimodal Models (Abstract, Slides)
• AAAI 2025 Tutorial: Neurosymbolic AI for EGI: Explainable, Grounded, and Instructable Generations (Abstract, Plan, Slides, Tutorial)
Text Processing (NLP & LLMs)
Prompt Engineering, Fine-tuning, & Agentic RL
Density Adaptive Attention is All You Need: Robust Parameter-Efficient Fine-Tuning Across Multiple Modalities (Media Coverage by Analytics India Magazine)
LoRACode: LoRA Adapters for Code Embeddings
SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework
CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
ECLIPTICA - A Framework for Switchable LLM Alignment via CITA - Contrastive Instruction-Tuned Alignment
Neural FOXP2 -- Language Specific Neuron Steering for Targeted Language Improvement in LLMs
Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language Models
Assessing LLM Reliability on Temporally Recent Open-Domain Questions
SPINAL -- Scaling-law and Preference Integration in Neural Alignment Layers
Stochastic Chaos: Why Deterministic Inference Kills, and Distributional Variability Is the Heartbeat of Artifical Cognition
TraceAlign -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization
When Shallow Wins: Silent Failures and the Depth-Accuracy Paradox in Latent Reasoning
Simulating Meaning, Nevermore! Introducing ICR: A Semiotic-Hermeneutic Metric for Evaluating Meaning in LLM Text Summaries
RUDDER: Steering Prefetching in Distributed GNN Training using LLM Agents
Position: The Complexity of Perfect AI Alignment -- Formalizing the RLHF Trilemma
Can Large Language Models Infer Causal Relationships from Real-World Text?
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context
Alignment Quality Index (AQI): Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations
YinYang-Align: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment
A Systematic Survey of Prompt Engineering in Large Language Models:
Techniques and Applications (Citations: 1500+)
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models
Parameter Efficient Fine Tuning (PEFT): A Comprehensive Analysis Across Applications
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
Catch Me If You Can: How Smaller Reasoning Models Pretend to Reason with Mathematical Fidelity
Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models
PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models
Cause and Effect: Can Large Language Models Truly Understand Causality? (Citations: 5+)
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey (Citations: 10+)
Retrieval-Augmented Generation (RAG)
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval
RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context Divergence
Evidence-backed Fact Checking using Retrieval Augmented Generation and Few-Shot In-Context Learning with Large Language Models
Hallucination Detection & Mitigation
Investigating Hallucination in Conversations for Low Resource Languages
The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations (Citations: 200+) (Media Coverage by The Washington Post)
Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey (Citations: 100+)
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models (Citations: 500+)
Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
LREC-COLING 2024 Tutorial: Hallucination in Large Language Models
"Sorry, Come Again?" Prompting -- Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing
FACTOID: FACtual enTailment fOr hallucInation Detection
Responsible AI (Safety, Bias, & Fairness)
PermaFrost-Attack: Stealth Pretraining Seeding (SPS) for planting Logic Landmines During LLM Training
SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness
I Can't Believe It's Not Robust: Catastrophic Collapse of Safety Classifiers under Embedding Drift
Dial E for Ethical Enforcement: Institutional Veto Power as a Governance Primitive
AdversariaL attacK sAfety aLIgnment (ALKALI) -- Safeguarding LLMs through GRACE: Geometric Representation-Aware Contrastive Enhancement- Introducing Adversarial Vulnerability Quality Index (AVQI)
Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models (Media Coverage by New Scientist; Article PDF)
COBIAS: Contextual Reliability in Bias Assessment
Unboxing Occupational Bias: Grounded Debiasing LLMs with U.S. Labor Data
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings
AMBEDKAR -- A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems (Citations: 10+)
Knowledge Graphs & Graphical Models
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
RESTORE: Graph Embedding Assessment Through Reconstruction
Synthetic Data Generation
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges (Citations: 10+)
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
AI-Generated Text Detection
Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI) (Citations: 15+) (Outstanding Paper Award)
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization
Hate Speech & Content Moderation
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement
Investigating Annotator Bias in Large Language Models for Hate Speech Detection
OffensiveLang: A Community Based Implicit Offensive Language Dataset
LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
PEACE: Cross-Platform Hate Speech Detection -- A Causality-guided Framework (Citations: 20+)
Evaluation
Learning from Generalization Patterns: An Evaluation-Driven Approach to Enhanced Data Augmentation for Fine-Tuning Small Language Models
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
On the Relationship between Sentence Analogy Identification and Sentence
Structure Encoding in Large Language Models
LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop (Citations: 5+)
ANALOGICAL -- A New Benchmark for Analogy of Long Text for Large Language Models (Citations: 20+)
Indic LLMs
IndicMMLU-Pro: Benchmarking the Indic Large Language Models
Multilingual State Space Models for Structured Question Answering in Indic Languages
Decoding the Diversity: A Review of the Indic AI Research Landscape
CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling
Vision (Image & Video AI)
Image/Video Analysis & Understanding
From Fog to Failure: How Dehazing Can Harm Clear Image Object Detection
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models
Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
iSeeBetter: Spatio-Temporal Video Super-Resolution using Recurrent Generative Back-Projection Networks (Citations: 30+)
Comparative Study and Optimization of Feature-Extraction Techniques for Content Based Image Retrieval (Citations: 120+)
AI-Generated Image Detection
PECCAVI: Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images
Visual Counter Turing Test (VCT2): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (VAI)
The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks
Medical Image Processing
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation
Biometrics
Face Recognition Using Discrete Cosine Transform for Global and Local Features (Citations: 80+)
Analysis of a Modern Voice Morphing Approach using Gaussian Mixture Models for Laryngectomees
A robust, low-cost approach to Face Detection and Face Recognition
Facial Expression Recognition using Squeeze and Excitation-powered Swin
Transformers
Rotation, Scaling and Translation Analysis of Biometric Signature Templates
Speech Processing (Speech Recognition & Speaker Recognition)
Speaker Verification & Recognition
Improving Speaker Verification Robustness With Synthetic Emotional Utterances
Post-training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models
Text-Independent Speaker Recognition for Low SNR Environments with Encryption
Keyword Spotting
I See What You Hear: A Vision-Inspired Method to Localize Words
Automatic Speech Recognition (ASR)
Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring
Representation Learning
Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures
JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention
DM-Codec: Distilling Multimodal Representations for Speech Tokenization
FuseCodec: Semantic-Contextual Fusion and Supervision for Neural Codecs
Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders
Audio Watermarking with Error Correction
Multimodal AI (Vision + Text)
Vision-Language Models
The Evolution of Multimodal Model Architectures
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare (Citations: 15+)
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering
Overview of Factify5WQA: Fact Verification through 5W Question-Answering
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering (Citations: 15+)
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development
On the Feasibility of Vision-Language Models for Time-Series Classification
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions (Citations: 5+) (Top Ten List)
Diffusion Models (Text-to-Image/Video Generation)
DanceText: A Training-Free Layered Framework for Controllable Multilingual Text Transformation in Images
Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
Multimodal Bias
I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations
How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
Representation Learning
Energy-Based Transformers are Scalable Learners and Thinkers
Embodied Referring Expression Comprehension Through Multimodal Residual Learning
Cognitively Inspired Energy-Based World Models
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using
Word-Level Grounding of Images
Few-shot Multimodal Multitask Multilingual Learning
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering (Citations: 40+)
Recommender Systems
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review (Citations: 10+)
Advancements in Modern Recommender Systems: Industrial Applications in Social Media, E-commerce, Entertainment, and Beyond
Miscellaneous
Mod-X: A Modular Open Decentralized eXchange Framework Proposal for Heterogeneous Interoperable Artificial Agents
QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods
A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction (Outstanding Paper Award)
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models (Citations: 15+)
The Evolution of Mixture of Experts: A Survey from Basics to Breakthroughs
RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering
SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection
Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi
Findings of Factify 2: Multimodal Fake News Detection (Citations: 10+)
Factify 2: A Multimodal Fake News and Satire News Dataset (Citations: 15+)
Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes
Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes
Design and Simulation of an 8-bit Dedicated Processor for calculating the Sine and Cosine of an Angle using CORDIC Algorithm
Dual-Layer Video Encryption using RSA Algorithm (Citations: 20+)
ARC Sort: Enhanced and Time Efficient Sorting Algorithm
Multi-Personality Partitioning for Heterogeneous Systems
Snow Avalanche: Study and Detection using Remote Sensing Techniques
Optimization Techniques for 160 GBPS WDM Optical Links to Minimize Nonlinear Effects
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Ankit Chadha, Aman Chadha, Neha Satam, Sunkist Mehta, Santosh Jagtap
IJCEIT, ISSN: 2277-4106 (Online); 2347-5161 (Print), Vol. 6, No. 2, pp. 1-7, April 2017. (Impact Factor: 0.61)
PDF • ResearchGate • Mendeley • SemanticScholar
Performance Analysis of WDM-based Optical Communication Systems in presence of Kerr Nonlinearities
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Aman Chadha, Ankit Chadha, Neha Satam, Sunkist Mehta, Santosh Jagtap
IJCET, ISSN: 2277-4106 (Online); 2347-5161 (Print), Vol. 7, No. 2, pp. 620-628, April 2017. (Impact Factor: 6.125)
PDF • ResearchGate • Mendeley • SemanticScholar
Compensation of Self Phase Modulation by Anomalous Dispersion in Nonlinear Optical Communication Systems
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Ankit Chadha, Aman Chadha, Neha Satam, Santosh Jagtap
IJCET, ISSN: 2277-4106 (Online); 2347-5161 (Print), Vol. 7, No. 2, pp. 614-619, April 2017. (Impact Factor: 6.125)
PDF • ResearchGate • Mendeley • SemanticScholar