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← Authors

Amit Sheth

37 papers · 2014–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🏃 Academic Marathon (11) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (7)
🏃 Academic Marathon (11) 🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🤝 Dynamic Duo (15) 🧬 Topic Evolution 🏆 Keyword Champion (2) 💎 Century Club (29) ⚡ Prolific Year (7) 🔥 Unstoppable (5) 🗃️ Keyword Collector (156)

Conferences

AAAI (9) ACL (7) COLING (6) NAACL (6) EMNLP (3) EACL (2) IJCAI (2) AACL (1) IJCNLP (1)

Top co-authors

Amitava Das (16) Aman Chadha (14) Vinija Jain (8) Chathurangi Shyalika (6) Vipula Rawte (5) S.M Towhidul Islam Tonmoy (4) Hasnat Md Abdullah (4) Megha Chakraborty (4) Ruwan Wickramarachchi (4) Thilini Wijesiriwardene (4)

Keywords

large language model (8) knowledge graph (5) question answering (4) multi-task learning (3) hallucination detection (3) multimodal learning (3) text classification (3) direct preference optimization (2) zero-shot learning (2) counterfactual reasoning (2) root cause analysis (2) generative model (2) causal discovery (2) image generation (2) model evaluation (2) benchmark dataset (2) word embedding (2) scene understanding (1) anomaly detection (1) domain adaptation (1)

Papers

DETONATE – A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization AAAI 2026 Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone EACL 2026 Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs AAAI 2026 In-Situ Eval: A Modular Framework for Custom and Real-Time RAG Benchmarking AAAI 2026 PAL: Personal Adaptive Learner AAAI 2026 CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing AAAI 2026 IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance ACL 2026 CausalPulse: Agentic Copilot for Root Cause Analysis in Smart Manufacturing AAAI 2026 The Visual Counter Turing Test (VCT²): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (V_AI) AACL 2025 YinYang-Align: A new Benchmark for Competing Objectives and Introducing Multi-Objective Preference based Text-to-Image Alignment ACL 2025 Defining and Quantifying Visual Hallucinations in Vision-Language Models NAACL 2025 ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models NAACL 2025 SEPSIS: I Can Catch Your Lies – A New Paradigm for Deception Detection ACL 2025 KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting COLING 2025 NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines IJCAI 2025 The Visual Counter Turing Test (VCT²): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (V_AI) IJCNLP 2025 FACTOID: FACtual enTailment fOr hallucInation Detection NAACL 2025 Tutorial Proposal: Hallucination in Large Language Models COLING 2024 GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews AAAI 2024 On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models EACL 2024 The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations EMNLP 2023 CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data AAAI 2023 FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering ACL 2023 ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models ACL 2023 Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI) EMNLP 2023 Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case AAAI 2023 FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering EMNLP 2023 Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts NAACL 2022 Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks ACL 2022 Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework COLING 2020 Medical Knowledge-enriched Textual Entailment Framework COLING 2020 Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models COLING 2018 A Practical Incremental Learning Framework For Sparse Entity Extraction COLING 2018 Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment NAACL 2018 Relatedness-based Multi-Entity Summarization IJCAI 2017 Clustering for Simultaneous Extraction of Aspects and Features from Reviews NAACL 2016 Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy ACL 2014