2 papers
cs.IR2026
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…
cs.CL2026
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…