Search and information retrieval

Publication

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis

Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

EMNLP 2024, BlackBox NLP workshop | November 2024

Publication

Current engagement with unreliable sites from web search driven by navigational search

Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres

Science Advances | November 2024

Dataset Source Code

Structured Entity Extraction

Structured Entity Extraction and the Approximate Entity Set OverlaP (AESOP) metric are designed to appropriately assess model performance.

GitHub Project Publication

Publication

Multi-Field Adaptive Retrieval

Millicent Li, Tongfei Chen, Ben Van Durme, Patrick Xia

ICLR 2025 | October 2024

Publication

Little Giants: Synthesizing High-Quality Embedding Data at Scale

Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou

NAACL 2025 | October 2024

Microsoft Research Blog

Research Focus: Week of September 23, 2024

September 25, 2024 | Shun Zheng, Jiang Bian, Nick Craswell, Bhaskar Mitra, Paul Thomas, Anjaly Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Time-series forecasting is a technique used to predict…

Publication

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Orion Weller, Ben Van Durme, Dawn Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel

ICLR 2025 | September 2024

Publication

Evaluating the risk of data loss due to particle radiation damage in a DNA data storage system

Christopher N. Takahashi, David P. Ward, Carlo Cazzaniga, Christopher D. Frost, Paolo Rech, Kumkum Ganguly, Sean Blanchard, Steve Wender, Bichlien Nguyen, Jake Smith

Nature Communications | September 2024, Vol 15: pp. 8067

Project

Publication

Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024)

Clemencia Siro, Mohammad Aliannejadi, Hossein A. Rahmani, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz

September 2024

Publication

Rethinking Node Representation Interpretation through Relation Coherence

Ying-Chun Lin, Jennifer Neville, Cassiano Becker, Purvanshi Metha, Nabiha Asghar, Vipul Agarwal

September 2024

Search and information retrieval

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Result Diversification in Search and Recommendation: A Survey

RASCAL: Novel robotics for scalable and highly available automated storage and retrieval

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis

Current engagement with unreliable sites from web search driven by navigational search

Structured Entity Extraction

Multi-Field Adaptive Retrieval

Little Giants: Synthesizing High-Quality Embedding Data at Scale

Research Focus: Week of September 23, 2024

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Evaluating the risk of data loss due to particle radiation damage in a DNA data storage system

Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024)

Rethinking Node Representation Interpretation through Relation Coherence

Search and information retrieval

Highlights