14 citations · 18 across the 14 of their papers we have counts for
4 papers · 1 filter
Understanding Task Transfer in Vision-Language Models
Bhuvan Sachdeva, Karan Uppal, Abhinav Java +1
Vision-Language Models (VLMs) perform well on multimodal benchmarks but lag behind humans and specialized models on visual perception tasks like depth estimation or object counting…
Characterizing Deep Research: A Benchmark and Formal Definition
Abhinav Java, Ashmit Khandelwal, Sukruta Midigeshi +6
Information tasks such as writing surveys or analytical reports require complex search and reasoning, and have recently been grouped under the umbrella of \textit{deep research} --…
FrugalRAG: Less is More in RL Finetuning for Multi-Hop Question Answering
Abhinav Java, Srivathsan Koundinyan, Nagarajan Natarajan +1
Reinforcement learning (RL) based on the final answer's reward has driven recent progress in small language models (SLMs) on reasoning-heavy tasks such as math and code. However, a…
Towards Efficient Exemplar Based Image Editing with Multimodal VLMs
Avadhoot Jadhav, Ashutosh Srivastava, Abhinav Java +4
Text-to-Image Diffusion models have enabled a wide array of image editing applications. However, capturing all types of edits through text alone can be challenging and cumbersome.…