REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback Paper • 2505.06548 • Published 28 days ago • 30 • 6
REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback Paper • 2505.06548 • Published 28 days ago • 30 • 6
REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback Paper • 2505.06548 • Published 28 days ago • 30 • 6
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents Paper • 2410.22476 • Published Oct 29, 2024 • 29 • 3
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models Paper • 2409.13592 • Published Sep 20, 2024 • 52 • 9
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models Paper • 2409.13592 • Published Sep 20, 2024 • 52 • 9
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models Paper • 2409.13592 • Published Sep 20, 2024 • 52 • 9
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models Paper • 2409.13592 • Published Sep 20, 2024 • 52 • 9
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models Paper • 2409.13592 • Published Sep 20, 2024 • 52 • 9