Characterizing Mechanisms for Factual Recall in Language Models

24 October 2023

Papers citing "Characterizing Mechanisms for Factual Recall in Language Models"

7 / 7 papers shown

Title
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ZhongXiang Sun Xiaoxue Zang Kai Zheng Yang Song Jun Xu Xiao Zhang Weijie Yu Yang Song Han Li 35 6 0 15 Oct 2024
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains Yein Park Chanwoong Yoon Jungwoo Park Donghyeon Lee Minbyul Jeong Jaewoo Kang KELM 38 1 0 13 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 53 7 0 03 Oct 2024
ACCORD: Closing the Commonsense Measurability Gap François Roewer-Després Jinyue Feng Zining Zhu Frank Rudzicz LRM 24 0 0 04 Jun 2024
Dissecting Recall of Factual Associations in Auto-Regressive Language Models Mor Geva Jasmijn Bastings Katja Filippova Amir Globerson KELM 183 152 0 28 Apr 2023
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small Kevin Wang Alexandre Variengien Arthur Conmy Buck Shlegeris Jacob Steinhardt 205 486 0 01 Nov 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020