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. 2407.15248
  4. Cited By
XAI meets LLMs: A Survey of the Relation between Explainable AI and
  Large Language Models

XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

21 July 2024
Min Zhang
Lorenzo Malandri
Fabio Mercorio
Navid Nobani
Andrea Seveso
ArXiv (abs)PDFHTML

Papers citing "XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models"

17 / 17 papers shown
Title
Envisioning an AI-Enhanced Mental Health Ecosystem
Envisioning an AI-Enhanced Mental Health Ecosystem
Kellie Yu Hui Sim
K. T. W. Choo
AI4MH
87
1
0
19 Mar 2025
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Yibo Yan
Shen Wang
Jiahao Huo
Jingheng Ye
Zhendong Chu
Xuming Hu
Philip S. Yu
Carla P. Gomes
B. Selman
Qingsong Wen
LRM
205
17
0
05 Feb 2025
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and
  Cybersecurity
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Claudio Novelli
F. Casolari
Philipp Hacker
Giorgio Spedicato
Luciano Floridi
AILawSILM
77
45
0
14 Jan 2024
TbExplain: A Text-based Explanation Method for Scene Classification
  Models with the Statistical Prediction Correction
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction
Amirhossein Aminimehr
Pouya Khani
Amir Molaei
Amirmohammad Kazemeini
Min Zhang
FAtt
51
5
0
19 Jul 2023
Towards Understanding In-Context Learning with Contrastive
  Demonstrations and Saliency Maps
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
Fuxiao Liu
Paiheng Xu
Zongxi Li
Yue Feng
Hyemi Song
81
35
0
11 Jul 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. V. Liao
J. Vaughan
107
167
0
02 Jun 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin Yu
Jianfeng Gao
MILM
58
56
0
17 May 2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Zhengxuan Wu
Atticus Geiger
Thomas Icard
Christopher Potts
Noah D. Goodman
MILM
75
92
0
15 May 2023
ChatGraph: Interpretable Text Classification by Converting ChatGPT
  Knowledge to Graphs
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs
Yucheng Shi
Hehuan Ma
Wenliang Zhong
Qiaoyu Tan
Gengchen Mai
Xiang Li
Tianming Liu
Junzhou Huang
AI4MH
60
35
0
03 May 2023
The Internal State of an LLM Knows When It's Lying
The Internal State of an LLM Knows When It's Lying
A. Azaria
Tom Michael Mitchell
HILM
269
340
0
26 Apr 2023
Practical and Ethical Challenges of Large Language Models in Education:
  A Systematic Scoping Review
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review
Lixiang Yan
Lele Sha
Linxuan Zhao
Yuheng Li
Roberto Martínez-Maldonado
Guanliang Chen
Xinyu Li
Yueqiao Jin
D. Gašević
SyDaELMAI4Ed
97
302
0
17 Mar 2023
Rethinking with Retrieval: Faithful Large Language Model Inference
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He
Hongming Zhang
Dan Roth
KELMLRM
217
167
0
31 Dec 2022
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
O. Yu. Golovneva
Moya Chen
Spencer Poff
Martin Corredor
Luke Zettlemoyer
Maryam Fazel-Zarandi
Asli Celikyilmaz
ReLMLRM
87
150
0
15 Dec 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
Ashwin Kalyan
ELMReLMLRM
278
1,286
0
20 Sep 2022
Ethical and social risks of harm from Language Models
Ethical and social risks of harm from Language Models
Laura Weidinger
John F. J. Mellor
Maribeth Rauh
Conor Griffin
J. Uesato
...
Lisa Anne Hendricks
William S. Isaac
Sean Legassick
G. Irving
Iason Gabriel
PILM
114
1,041
0
08 Dec 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
931
29,436
0
26 Feb 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and
  Improving Models
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu
Marco Tulio Ribeiro
Jeffrey Heer
Daniel S. Weld
97
249
0
01 Jan 2021
1