8 citations · 17 across the 5 of their papers we have counts for
5 papers
Masking or Mitigating? Deconstructing the Impact of Query Rewriting on Retriever Biases in RAG
Agam Goyal, Koyel Mukherjee, Apoorv Saxena +3
Dense retrievers in retrieval-augmented generation (RAG) systems exhibit systematic biases -- including brevity, position, literal matching, and repetition biases -- that can compr…
ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models
Nikhil Anand, Shwetha Somasundaram, Anirudh Phukan +2
Large Language Models (LLMs) encode vast amounts of parametric knowledge during pre-training. As world knowledge evolves, effective deployment increasingly depends on their ability…
Towards Optimizing the Costs of LLM Usage
Shivanshu Shekhar, Tanishq Dubey, Koyel Mukherjee +3
Generative AI and LLMs in particular are heavily used nowadays for various document processing tasks such as question answering and summarization. However, different LLMs come with…
R2D2: Reducing Redundancy and Duplication in Data Lakes
Raunak Shah, Koyel Mukherjee, Atharv Tyagi +4
Enterprise data lakes often suffer from substantial amounts of duplicate and redundant data, with data volumes ranging from terabytes to petabytes. This leads to both increased sto…
Approximate Caching for Efficiently Serving Diffusion Models
Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty +3
Text-to-image generation using diffusion models has seen explosive popularity owing to their ability in producing high quality images adhering to text prompts. However, production-…