4 papers
WARP: Wasserstein-Aligned RAG for Population Opinions
Aman Singh Thakur, Aditya Agrawal, Alwarappan Nakkiran +1
RAG systems are increasingly used to summarize what large collections of documents say. A user asks "What do people think about X?" and receives an answer that reads as consensus.…
Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions
Aditya Agrawal, Alwarappan Nakkiran, Darshan Fofadiya +3
This position paper argues that Retrieval-Augmented Generation (RAG) systems exhibit a factual bias-optimizing for epistemic uncertainty reduction while ignoring the aleatoric unce…
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction
Harsh Maheshwari, Srikanth Tenneti, Alwarappan Nakkiran
Retrieval Augmented Generation (RAG) has emerged as a powerful application of Large Language Models (LLMs), revolutionizing information search and consumption. RAG systems combine…
Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency
Vignesh Gokul, Srikanth Tenneti, Alwarappan Nakkiran
Retrieval Augmented Generation (RAG) systems have emerged as a powerful method for enhancing large language models (LLMs) with up-to-date information. However, the retrieval step i…