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Hopping Too Late: Exploring the Limitations of Large Language Models on
  Multi-Hop Queries

Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries

18 June 2024
Eden Biran
Daniela Gottesman
Sohee Yang
Mor Geva
Amir Globerson
    LRM
ArXivPDFHTML

Papers citing "Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries"

21 / 21 papers shown
Title
Linking forward-pass dynamics in Transformers and real-time human processing
Linking forward-pass dynamics in Transformers and real-time human processing
Jennifer Hu
Michael A. Lepori
Michael Franke
AI4CE
45
0
0
18 Apr 2025
Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms
Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms
Xiaotian Ye
M. Zhang
Shu Wu
KELM
ELM
39
0
0
09 Apr 2025
LLM for Complex Reasoning Task: An Exploratory Study in Fermi Problems
LLM for Complex Reasoning Task: An Exploratory Study in Fermi Problems
Z. Liu
Carlos Rabat Villarreal
Mostafa Rahgouy
Amit Das
Zheng Zhang
Chang Ren
Dongji Feng
ReLM
LRM
46
0
0
03 Apr 2025
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
Yihuai Hong
Dian Zhou
Meng Cao
Lei Yu
Zhijing Jin
LRM
41
0
0
29 Mar 2025
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
Xiaoye Qu
Yafu Li
Zhaochen Su
Weigao Sun
Jianhao Yan
...
Chaochao Lu
Yue Zhang
Xian-Sheng Hua
Bowen Zhou
Yu Cheng
ReLM
OffRL
LRM
76
11
0
27 Mar 2025
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
Yunzhi Yao
Jizhan Fang
Jia-Chen Gu
N. Zhang
Shumin Deng
H. Chen
Nanyun Peng
KELM
54
1
0
20 Mar 2025
Implicit Reasoning in Transformers is Reasoning through Shortcuts
Implicit Reasoning in Transformers is Reasoning through Shortcuts
Tianhe Lin
Jian Xie
Siyu Yuan
Deqing Yang
ReLM
LRM
64
2
0
10 Mar 2025
Invisible Strings: Revealing Latent Dancer-to-Dancer Interactions with Graph Neural Networks
Luis Zerkowski
Zixuan Wang
I. Vidrin
M. Pettee
33
0
0
04 Mar 2025
Performance Gap in Entity Knowledge Extraction Across Modalities in
  Vision Language Models
Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models
Ido Cohen
Daniela Gottesman
Mor Geva
Raja Giryes
VLM
82
0
1
18 Dec 2024
Do Large Language Models Perform Latent Multi-Hop Reasoning without
  Exploiting Shortcuts?
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?
Sohee Yang
Nora Kassner
E. Gribovskaya
Sebastian Riedel
Mor Geva
KELM
LRM
ReLM
75
4
0
25 Nov 2024
The Two-Hop Curse: LLMs trained on A$\rightarrow$B, B$\rightarrow$C fail to learn A$\rightarrow$C
The Two-Hop Curse: LLMs trained on A→\rightarrow→B, B→\rightarrow→C fail to learn A→\rightarrow→C
Mikita Balesni
Tomek Korbak
Owain Evans
ReLM
LRM
79
0
0
25 Nov 2024
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
Jiachun Li
Pengfei Cao
Zhuoran Jin
Yubo Chen
Kang-Jun Liu
Jun Zhao
LRM
ELM
32
4
0
12 Oct 2024
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Zhuoran Zhang
Y. Li
Zijian Kan
Keyuan Cheng
Lijie Hu
Di Wang
KELM
24
4
0
08 Oct 2024
Defining Knowledge: Bridging Epistemology and Large Language Models
Defining Knowledge: Bridging Epistemology and Large Language Models
Constanza Fierro
Ruchira Dhar
Filippos Stamatiou
Nicolas Garneau
Anders Søgaard
KELM
23
4
0
03 Oct 2024
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
Michael A. Lepori
Michael Mozer
Asma Ghandeharioun
LRM
80
1
0
02 Oct 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
Daking Rai
Yilun Zhou
Shi Feng
Abulhair Saparov
Ziyu Yao
57
18
0
02 Jul 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
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
221
291
0
24 Feb 2021
1