Cover Image

From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vatsa, Mayank, Bharati, Aparna, Mittal, Surbhi, Singh, Richa
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation
by: Vatsa, Mayank, et al.
Published: (2025)

Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations
by: Singh, Jaisidh, et al.
Published: (2024)

Navigating Text-to-Image Generative Bias across Indic Languages
by: Mittal, Surbhi, et al.
Published: (2024)

TAIGen: Training-Free Adversarial Image Generation via Diffusion Models
by: Roy, Susim, et al.
Published: (2025)

NutriScreener: Retrieval-Augmented Multi-Pose Graph Attention Network for Malnourishment Screening
by: Khan, Misaal, et al.
Published: (2025)

Unbiased Model Prediction Without Using Protected Attribute Information
by: Majumdar, Puspita, et al.
Published: (2026)

Error Taxonomy-Guided Prompt Optimization
by: Singh, Mayank, et al.
Published: (2026)

Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises
by: Jain, Anubhooti, et al.
Published: (2024)

KnowRL: Teaching Language Models to Know What They Know
by: Kale, Sahil, et al.
Published: (2025)

Quantum-Inspired Audio Unlearning: Towards Privacy-Preserving Voice Biometrics
by: Pathak, Shreyansh, et al.
Published: (2025)

Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings
by: Yang, Shujian, et al.
Published: (2025)

From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
by: Lalai, Harsh Nishant, et al.
Published: (2024)

Extracting Norms from Contracts Via ChatGPT: Opportunities and Challenges
by: Haque, Amanul, et al.
Published: (2024)

Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning
by: Gawin, Cole, et al.
Published: (2025)

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
by: Li, Dawei, et al.
Published: (2024)

Multimodal Multihop Source Retrieval for Web Question Answering
by: Yarrabelly, Navya, et al.
Published: (2025)

A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
by: Zhong, Jialun, et al.
Published: (2025)

Cross-lingual Editing in Multilingual Language Models
by: Beniwal, Himanshu, et al.
Published: (2024)

Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration
by: Khurshid, Mahapara, et al.
Published: (2024)

Where Does Toxicity Live? Mechanistic Localization and Targeted Suppression in Language Models
by: Beniwal, Himanshu, et al.
Published: (2026)

Leveraging Large Language Models For Optimized Item Categorization using UNSPSC Taxonomy
by: Singh, Anmolika, et al.
Published: (2024)

SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation
by: Goyal, Karan, et al.
Published: (2024)

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription
by: Alkaeed, Mahdi, et al.
Published: (2025)

Continual Learning in Large Language Models: Methods, Challenges, and Opportunities
by: Chen, Hongyang, et al.
Published: (2026)

Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
by: Lehmann, Hans Hergen, et al.
Published: (2025)

Challenges and Opportunities in Text Generation Explainability
by: Amara, Kenza, et al.
Published: (2024)

COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing
by: Sheth, Rajvee, et al.
Published: (2025)

Task--Specificity Score: Measuring How Much Instructions Really Matter for Supervision
by: Kadasi, Pritam, et al.
Published: (2026)

PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs
by: Yadav, Ankit, et al.
Published: (2024)

One Instruction Does Not Fit All: How Well Do Embeddings Align Personas and Instructions in Low-Resource Indian Languages?
by: Shah, Arya, et al.
Published: (2026)

Chronicle: A Multimodal Foundation Model for Joint Language and Time Series Understanding
by: Quinlan, Paul, et al.
Published: (2026)

Cause and Effect: Can Large Language Models Truly Understand Causality?
by: Ashwani, Swagata, et al.
Published: (2024)

A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospects
by: Cheng, Qing, et al.
Published: (2024)

Do Retrieval Augmented Language Models Know When They Don't Know?
by: Zhou, Youchao, et al.
Published: (2025)

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
by: Shorinwa, Ola, et al.
Published: (2024)

Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunities
by: Mandal, Aishik, et al.
Published: (2025)

INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges
by: Pereira, Jayr, et al.
Published: (2024)

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
by: Zhong, Tianyang, et al.
Published: (2024)

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
by: LASA Team, et al.
Published: (2025)

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
by: Lu, Qinghua, et al.
Published: (2023)