ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.12158
  4. Cited By
LLMs Are Prone to Fallacies in Causal Inference

LLMs Are Prone to Fallacies in Causal Inference

18 June 2024
Nitish Joshi
Abulhair Saparov
Yixin Wang
He He
ArXivPDFHTML

Papers citing "LLMs Are Prone to Fallacies in Causal Inference"

5 / 5 papers shown
Title
Reasoning Capabilities and Invariability of Large Language Models
Reasoning Capabilities and Invariability of Large Language Models
Alessandro Raganato
Rafael Peñaloza
Marco Viviani
G. Pasi
ReLM
LRM
80
0
0
01 May 2025
Are All Spurious Features in Natural Language Alike? An Analysis through
  a Causal Lens
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
Nitish Joshi
X. Pan
Hengxing He
CML
44
28
0
25 Oct 2022
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
116
270
0
03 Oct 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
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
245
1,977
0
31 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
1