1 citations · 1 across the 9 of their papers we have counts for
13 papers
Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions
Shivank Garg, Sankalp Mittal, Manish Gupta
Communicating complex system designs or scientific processes through text alone is inefficient and prone to ambiguity. A system that automatically generates scientific architecture…
When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models
Zafir Shamsi, Nikhil Chekuru, Zachary Guzman +1
Large Language Models (LLMs) are increasingly integrated into high-stakes applications, making robust safety guarantees a central practical and commercial concern. Existing safety…
MiSCHiEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption Alignment
Sagarika Banerjee, Tangatar Madi, Advait Swaminathan +4
Fine-grained image-caption alignment is crucial for vision-language models (VLMs), especially in socially critical contexts such as identifying real-world risk scenarios or disting…
SIDiffAgent: Self-Improving Diffusion Agent
Shivank Garg, Ayush Singh, Gaurav Kumar Nayak
Text-to-image diffusion models have revolutionized generative AI, enabling high-quality and photorealistic image synthesis. However, their practical deployment remains hindered by…
ViT Registers and Fractal ViT
Jason Chuan-Chih Chou, Abhinav Kumar, Shivank Garg
Drawing inspiration from recent findings including surprisingly decent performance of transformers without positional encoding (NoPE) in the domain of language models and how regis…
Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
Pratham Singla, Shivank Garg, Ayush Singh +2
Recent advances in post-training techniques have endowed Large Language Models (LLMs) with enhanced capabilities for tackling complex, logic-intensive tasks through the generation…