Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

28 January 2025

Satyapriya Krishna

Kalpesh Krishna

Anhad Mohananey

Steven Schwarcz

Papers citing "Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation"

8 / 8 papers shown

Title
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets Lorenz Brehme Thomas Ströhle Ruth Breu 56 0 0 28 Apr 2025
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation Jiajun Shen Tong Zhou Yubo Chen Delai Qiu Shengping Liu Kang-Jun Liu Jun Zhao HILM RALM 83 0 0 21 Apr 2025
YourBench: Easy Custom Evaluation Sets for Everyone S. Kamath S Clémentine Fourrier Alina Lozovskia Thomas Wolf Gökhan Tür Dilek Hakkani-Tür 30 1 0 02 Apr 2025
Open Deep Search: Democratizing Search with Open-source Reasoning Agents Salaheddin Alzubi Creston Brooks Purva Chiniya Edoardo Contente Chiara von Gerlach ... Arda Kaz Windsor Nguyen Sewoong Oh Himanshu Tyagi Pramod Viswanath VLM ELM LRM 81 3 0 26 Mar 2025
Evaluating the Effect of Retrieval Augmentation on Social Biases Tianhui Zhang Yi Zhou Danushka Bollegala 36 0 0 24 Feb 2025
Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation Simin Chen Yiming Chen Zexin Li Yifan Jiang Zhongwei Wan ... Dezhi Ran Tianle Gu H. Li Tao Xie Baishakhi Ray 41 2 0 23 Feb 2025
Measuring short-form factuality in large language models Jason W. Wei Nguyen Karina Hyung Won Chung Yunxin Joy Jiao Spencer Papay Amelia Glaese John Schulman W. Fedus ELM KELM HILM 30 37 0 07 Nov 2024
Infogent: An Agent-Based Framework for Web Information Aggregation R. Reddy Sagnik Mukherjee Jeonghwan Kim Zhenhailong Wang Dilek Z. Hakkani-Tür Heng Ji 33 7 0 24 Oct 2024