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Showing 1–25 of 127 papers

TitleStatusHype
EduCoder: An Open-Source Annotation System for Education Transcript DataCode0
Probably Approximately Correct LabelsCode1
AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery DetectionCode0
Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media DataCode0
It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel DataCode1
The Risks of Using Large Language Models for Text Annotation in Social Science Research—0
Mask^2DiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video Generation—0
Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous Driving—0
Memory Is All You Need: Testing How Model Memory Affects LLM Performance in Annotation Tasks—0
NOTA: Multimodal Music Notation Understanding for Visual Large Language Model—0
How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators—0
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language ModelsCode4
Mask^2DiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video Generation—0
From Human Annotation to LLMs: SILICON Annotation Workflow for Management Research—0
Rethinking Emotion Annotations in the Era of Large Language Models—0
Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any GranularityCode2
GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities—0
Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention NetworksCode0
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators—0
Which Demographics do LLMs Default to During Annotation?—0
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video UnderstandingCode1
MMHead: Towards Fine-grained Multi-modal 3D Facial Animation—0
Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting—0
Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data—0
Keeping Humans in the Loop: Human-Centered Automated Annotation with Generative AI—0
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