21 citations · 21 across the 3 of their papers we have counts for
5 papers
SD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement Learning
Shiyu Yuan, Sourav Sanjukta Bhabesh, Zhe Wang +3
Vision Language Models (VLMs) demonstrate strong perceptual abilities but remain limited in tasks requiring analytical reasoning across multiple visual states, such as multi-image…
Reinforcing the Generation Order of Multimodal Masked Diffusion Models
Yidong Ouyang, Zhe Wang, Sourav Bhabesh +1
Diffusion Language Models (DLMs) have recently achieved substantial progress in natural language generation tasks. Recent research demonstrates that adaptive token generation order…
MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation
Haris Riaz, Sourav Bhabesh, Vinayak Arannil +2
Recent smaller language models such Phi-3.5 and Phi-4 rely on synthetic data generated using larger Language models. Questions remain about leveraging synthetic data for other use…
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining
Vinayak Arannil, Neha Narwal, Sourav Sanjukta Bhabesh +5
Large Language Models (LLMs) have shown remarkable ability to generalize effectively across numerous industry domains while executing a range of tasks. Many of these competencies a…
Thermal buckling and symmetry breaking in thin ribbons under compression
Paul Z. Hanakata, Sourav S. Bhabesh, Mark J. Bowick +2
Understanding thin sheets, ranging from the macro to the nanoscale, can allow control of mechanical properties such as deformability. Out-of-plane buckling due to in-plane compress…