Cover Image

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rawte, Vipula, Jain, Sarthak, Sinha, Aarush, Kaushik, Garv, Bansal, Aman, Vishwanath, Prathiksha Rumale, Jain, Samyak Rajesh, Reganti, Aishwarya Naresh, Jain, Vinija, Chadha, Aman, Sheth, Amit P., Das, Amitava
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
by: Wijesiriwardene, Thilini, et al.
Published: (2023)

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
by: Tonmoy, S. M Towhidul Islam, et al.
Published: (2024)

TRACEALIGN -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
by: Das, Amitava, et al.
Published: (2025)

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
by: Sinha, Neelabh, et al.
Published: (2024)

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
by: Sinha, Neelabh, et al.
Published: (2024)

Overview of Factify5WQA: Fact Verification through 5W Question-Answering
by: Suresh, Suryavardan, et al.
Published: (2024)

AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization
by: Das, Amitava, et al.
Published: (2025)

D-STEER - Preference Alignment Techniques Learn to Behave, not to Believe -- Beneath the Surface, DPO as Steering Vector Perturbation in Activation Space
by: Raina, Samarth, et al.
Published: (2025)

AlignMerge - Alignment-Preserving Large Language Model Merging via Fisher-Guided Geometric Constraints
by: Roy, Aniruddha, et al.
Published: (2025)

Neural FOXP2 -- Language Specific Neuron Steering for Targeted Language Improvement in LLMs
by: Saha, Anusa, et al.
Published: (2026)

ECLIPTICA -- A Framework for Switchable LLM Alignment via CITA - Contrastive Instruction-Tuned Alignment
by: Wanaskar, Kapil, et al.
Published: (2026)

"Sorry, Come Again?" Prompting -- Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing
by: Rawte, Vipula, et al.
Published: (2024)

DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization
by: Das, Amitava, et al.
Published: (2025)

When Shallow Wins: Silent Failures and the Depth-Accuracy Paradox in Latent Reasoning
by: Sahoo, Subramanyam, et al.
Published: (2026)

Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language Models
by: Kasat, Aryan, et al.
Published: (2026)

Dial E for Ethical Enforcement: institutional VETO power as a governance primitive
by: Sahoo, Subramanyam, et al.
Published: (2026)

The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness
by: Sahoo, Subramanyam, et al.
Published: (2026)

Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models
by: Singh, Smriti, et al.
Published: (2024)

SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
by: Sahoo, Subramanyam, et al.
Published: (2026)

I Can't Believe It's Not Robust: Catastrophic Collapse of Safety Classifiers under Embedding Drift
by: Sahoo, Subramanyam, et al.
Published: (2026)

Position: The Complexity of Perfect AI Alignment -- Formalizing the RLHF Trilemma
by: Sahoo, Subramanyam, et al.
Published: (2025)

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
by: Vats, Arpita, et al.
Published: (2024)

LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs
by: Sidibomma, Rushendra, et al.
Published: (2024)

MAAT: Multi-phase Adapter-Aware Targeted Unlearning
by: Yagnik, Suryash, et al.
Published: (2026)

Findings of the Counter Turing Test: AI-Generated Image Detection
by: Roy, Rajarshi, et al.
Published: (2026)

FACTOID: FACtual enTailment fOr hallucInation Detection
by: Rawte, Vipula, et al.
Published: (2024)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
by: Wijesiriwardene, Thilini, et al.
Published: (2024)

YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment
by: Das, Amitava, et al.
Published: (2025)

SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection
by: Rani, Anku, et al.
Published: (2023)

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
by: Sahoo, Pranab, et al.
Published: (2024)

How Culturally Aware are Vision-Language Models?
by: Burda-Lassen, Olena, et al.
Published: (2024)

SPINAL -- Scaling-law and Preference Integration in Neural Alignment Layers
by: Das, Arion, et al.
Published: (2026)

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
by: Sinha, Aarush, et al.
Published: (2026)

A Comprehensive Dataset for Human vs. AI Generated Text Detection
by: Roy, Rajarshi, et al.
Published: (2025)

A Comprehensive Dataset for Human vs. AI Generated Image Detection
by: Roy, Rajarshi, et al.
Published: (2026)

SleepWalk: A Three-Tier Benchmark for Stress-Testing Instruction-Guided Vision-Language Navigation
by: Rawal, Niyati, et al.
Published: (2026)

Peccavi: Visual Paraphrase Attack Safe and Distortion Free Image Watermarking Technique for AI-Generated Images
by: Dixit, Shreyas, et al.
Published: (2025)

PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training
by: Kumar, Harsh, et al.
Published: (2026)

RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context Divergence
by: Rawte, Vipula, et al.
Published: (2025)

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
by: Ghosh, Akash, et al.
Published: (2024)