ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.13417
  4. Cited By
VISIT: Visualizing and Interpreting the Semantic Information Flow of
  Transformers
v1v2 (latest)

VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
22 May 2023
Shahar Katz
Yonatan Belinkov
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers"

11 / 11 papers shown
Title
Understanding Post-Training Structural Changes in Large Language Models
Understanding Post-Training Structural Changes in Large Language Models
Xinyu He
Xianghui Cao
68
0
0
22 Sep 2025
Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
Zineddine Tighidet
Andrea Mogini
Hedi Ben-younes
Jiali Mei
Patrick Gallinari
Benjamin Piwowarski
197
2
0
12 Sep 2025
AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
Preslav Aleksandrov
Meghdad Kurmanji
Fernando Garcia Redondo
David O'Shea
William F. Shen
Alex Iacob
Lorenzo Sani
Xinchi Qiu
Nicola Cancedda
Nicholas D. Lane
130
4
0
11 Jul 2025
Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models
Jiaxiang Liu
Boxuan Xing
Chenhao Yuan
Chenxiang Zhang
Di Wu
...
Haida Yu
Chuhan Lang
Pengfei Cao
Jun Zhao
Kang Liu
132
0
0
10 Jun 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Seongmin Lee
Aeree Cho
Grace C. Kim
ShengYun Peng
Mansi Phute
Duen Horng Chau
LM&MAAI4CE
245
3
0
05 Jun 2025
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and ConfidenceSIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2025
Hongzhe Du
Weikai Li
Min Cai
Jiaqi W. Ma
Zimin Zhang
Himabindu Lakkaraju
Tony Nowatzki
Shichang Zhang
KELM
203
3
0
03 Apr 2025
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024
Xiyu Liu
Zhengxiao Liu
Naibin Gu
Zheng Lin
Wanli Ma
Ji Xiang
Weiping Wang
KELM
275
3
0
27 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
302
23
0
27 Jul 2024
Finding Transformer Circuits with Edge Pruning
Finding Transformer Circuits with Edge Pruning
Adithya Bhaskar
Alexander Wettig
Dan Friedman
Danqi Chen
421
32
0
24 Jun 2024
Knowledge Circuits in Pretrained Transformers
Knowledge Circuits in Pretrained Transformers
Yunzhi Yao
Ningyu Zhang
Zekun Xi
Meng Wang
Ziwen Xu
Shumin Deng
Huajun Chen
KELM
321
41
0
28 May 2024
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.9K
19,183
0
16 Feb 2016
1