50 citations · 51 across the 4 of their papers we have counts for
4 papers
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Joongwon Kim, Bhargavi Paranjape, Tushar Khot +1
Language agents perform complex tasks by using tools to execute each step precisely. However, most existing agents are based on proprietary models or designed to target specific ta…
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
Large-scale vision language (VL) models use Transformers to perform cross-modal interactions between the input text and image. These cross-modal interactions are computationally ex…
ART: Automatic multi-step reasoning and tool-use for large language models
Bhargavi Paranjape, Scott Lundberg, Sameer Singh +3
Large language models (LLMs) can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps. Further, each reasoning…
Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla +1
Most of the online news media outlets rely heavily on the revenues generated from the clicks made by their readers, and due to the presence of numerous such outlets, they need to c…