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Do Large Language Models Latently Perform Multi-Hop Reasoning?

Do Large Language Models Latently Perform Multi-Hop Reasoning?

26 February 2024
Sohee Yang
E. Gribovskaya
Nora Kassner
Mor Geva
Sebastian Riedel
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Do Large Language Models Latently Perform Multi-Hop Reasoning?"

13 / 63 papers shown
Title
GRAG: Graph Retrieval-Augmented Generation
GRAG: Graph Retrieval-Augmented Generation
Yuntong Hu
Zhihan Lei
Zhengwu Zhang
Bo Pan
Chen Ling
Liang Zhao
35
18
0
26 May 2024
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubić
Federico Soldá
Aurelio Sulser
Davide Scaramuzza
LRM
BDL
39
5
0
26 May 2024
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to
  the Edge of Generalization
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
Boshi Wang
Xiang Yue
Yu-Chuan Su
Huan Sun
LRM
14
41
0
23 May 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
Yunxiang Zhang
Muhammad Khalifa
Lajanugen Logeswaran
Jaekyeom Kim
Moontae Lee
Honglak Lee
Lu Wang
LRM
KELM
ReLM
23
31
0
26 Apr 2024
Unveiling LLMs: The Evolution of Latent Representations in a Temporal
  Knowledge Graph
Unveiling LLMs: The Evolution of Latent Representations in a Temporal Knowledge Graph
Marco Bronzini
Carlo Nicolini
Bruno Lepri
Jacopo Staiano
Andrea Passerini
KELM
20
0
0
04 Apr 2024
Large Language Models are Capable of Offering Cognitive Reappraisal, if
  Guided
Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided
Hongli Zhan
Allen Zheng
Yoon Kyung Lee
Jina Suh
Junyi Jessy Li
Desmond C. Ong
AI4MH
30
8
0
01 Apr 2024
Understanding and Patching Compositional Reasoning in LLMs
Understanding and Patching Compositional Reasoning in LLMs
Zhaoyi Li
Gangwei Jiang
Hong Xie
Linqi Song
Defu Lian
Ying Wei
LRM
46
20
0
22 Feb 2024
Can LMs Learn New Entities from Descriptions? Challenges in Propagating
  Injected Knowledge
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
Yasumasa Onoe
Michael J.Q. Zhang
Shankar Padmanabhan
Greg Durrett
Eunsol Choi
KELM
201
73
0
02 May 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language
  Models
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
Mor Geva
Jasmijn Bastings
Katja Filippova
Amir Globerson
KELM
189
260
0
28 Apr 2023
Interpretability in the Wild: a Circuit for Indirect Object
  Identification in GPT-2 small
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
210
486
0
01 Nov 2022
BeliefBank: Adding Memory to a Pre-Trained Language Model for a
  Systematic Notion of Belief
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
Nora Kassner
Oyvind Tafjord
Hinrich Schütze
Peter Clark
KELM
LRM
220
64
0
29 Sep 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
255
273
0
01 Feb 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
393
2,216
0
03 Sep 2019
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