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Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis

20 May 2025
Haoming Huang
Yibo Yan
Jiahao Huo
Xin Zou
Xinfeng Li
Kun Wang
Xuming Hu
ArXivPDFHTML

Papers citing "Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis"

28 / 28 papers shown
Title
RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video
RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video
Shuhang Xun
Sicheng Tao
Jiajun Li
Yibo Shi
Zhixin Lin
...
Shikang Wang
Yang Liu
Hao Zhang
Ying Ma
Xuming Hu
VLM
LRM
64
1
0
04 May 2025
A Survey of Large Language Model Agents for Question Answering
A Survey of Large Language Model Agents for Question Answering
Murong Yue
LLMAG
LM&MA
ELM
92
4
0
24 Mar 2025
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
Yibo Yan
Shen Wang
Jiahao Huo
Philip S. Yu
Xuming Hu
Qingsong Wen
289
7
0
23 Mar 2025
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
Yixin Ou
Yunzhi Yao
N. Zhang
Hui Jin
Jiacheng Sun
Shumin Deng
Zechao Li
Ningyu Zhang
KELM
CLL
84
2
0
16 Feb 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
186
17
0
05 Feb 2025
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under
  Misleading Scenarios
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
Yunkai Dang
Mengxi Gao
Yibo Yan
Xin Zou
Yanggan Gu
Aiwei Liu
Xuming Hu
64
6
0
05 Nov 2024
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large
  Language Models via Deciphering Attention Causality
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
Guanyu Zhou
Yibo Yan
Xin Zou
Kun Wang
Aiwei Liu
Xuming Hu
63
12
0
07 Oct 2024
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Pranav Putta
Edmund Mills
Naman Garg
S. Motwani
Chelsea Finn
Divyansh Garg
Rafael Rafailov
LLMAG
LRM
53
81
0
13 Aug 2024
InversionView: A General-Purpose Method for Reading Information from
  Neural Activations
InversionView: A General-Purpose Method for Reading Information from Neural Activations
Xinting Huang
Madhur Panwar
Navin Goyal
Michael Hahn
51
5
0
27 May 2024
The Landscape of Emerging AI Agent Architectures for Reasoning,
  Planning, and Tool Calling: A Survey
The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
Tula Masterman
Sandi Besen
Mason Sawtell
Alex Chao
LM&Ro
LLMAG
73
53
0
17 Apr 2024
Language-Specific Neurons: The Key to Multilingual Capabilities in Large
  Language Models
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
Tianyi Tang
Wenyang Luo
Haoyang Huang
Dongdong Zhang
Xiaolei Wang
Xin Zhao
Furu Wei
Ji-Rong Wen
78
59
0
26 Feb 2024
Do Llamas Work in English? On the Latent Language of Multilingual
  Transformers
Do Llamas Work in English? On the Latent Language of Multilingual Transformers
Chris Wendler
V. Veselovsky
Giovanni Monea
Robert West
96
125
0
16 Feb 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via
  Self-Evaluation
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
Xiaoying Zhang
Baolin Peng
Ye Tian
Jingyan Zhou
Lifeng Jin
Linfeng Song
Haitao Mi
Helen Meng
HILM
67
51
0
14 Feb 2024
ReFT: Reasoning with Reinforced Fine-Tuning
ReFT: Reasoning with Reinforced Fine-Tuning
Trung Quoc Luong
Xinbo Zhang
Zhanming Jie
Peng Sun
Xiaoran Jin
Hang Li
OffRL
LRM
ReLM
58
114
0
17 Jan 2024
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with
  Contrastive Language-Image Pretraining from the Web
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
Yibo Yan
Haomin Wen
Siru Zhong
Wei Chen
Haodong Chen
Qingsong Wen
Roger Zimmermann
Yuxuan Liang
33
57
0
22 Oct 2023
Attribution Patching Outperforms Automated Circuit Discovery
Attribution Patching Outperforms Automated Circuit Discovery
Aaquib Syed
Can Rager
Arthur Conmy
117
65
0
16 Oct 2023
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial
  Examples
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
Jia-Yu Yao
Kun-Peng Ning
Zhen-Hui Liu
Munan Ning
Li Yuan
HILM
LRM
AAML
59
186
0
02 Oct 2023
A Survey of Hallucination in Large Foundation Models
A Survey of Hallucination in Large Foundation Models
Vipula Rawte
A. Sheth
Amitava Das
HILM
LRM
163
375
0
12 Sep 2023
Explainability for Large Language Models: A Survey
Explainability for Large Language Models: A Survey
Haiyan Zhao
Hanjie Chen
Fan Yang
Ninghao Liu
Huiqi Deng
Hengyi Cai
Shuaiqiang Wang
Dawei Yin
Jundong Li
LRM
69
447
0
02 Sep 2023
Using an LLM to Help With Code Understanding
Using an LLM to Help With Code Understanding
Daye Nam
A. Macvean
Vincent J. Hellendoorn
Bogdan Vasilescu
Brad A. Myers
ELM
57
252
0
17 Jul 2023
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of
  LLMs by Validating Low-Confidence Generation
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
Neeraj Varshney
Wenlin Yao
Hongming Zhang
Jianshu Chen
Dong Yu
HILM
85
169
0
08 Jul 2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long
  Form Text Generation
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min
Kalpesh Krishna
Xinxi Lyu
M. Lewis
Wen-tau Yih
Pang Wei Koh
Mohit Iyyer
Luke Zettlemoyer
Hannaneh Hajishirzi
HILM
ALM
113
678
0
23 May 2023
Label Words are Anchors: An Information Flow Perspective for
  Understanding In-Context Learning
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang
Lei Li
Damai Dai
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
118
189
0
23 May 2023
Towards Automated Circuit Discovery for Mechanistic Interpretability
Towards Automated Circuit Discovery for Mechanistic Interpretability
Arthur Conmy
Augustine N. Mavor-Parker
Aengus Lynch
Stefan Heimersheim
Adrià Garriga-Alonso
52
311
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
292
549
0
01 Nov 2022
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Suzgun
Nathan Scales
Nathanael Scharli
Sebastian Gehrmann
Yi Tay
...
Aakanksha Chowdhery
Quoc V. Le
Ed H. Chi
Denny Zhou
Jason W. Wei
ALM
ELM
LRM
ReLM
241
1,091
0
17 Oct 2022
Language Models (Mostly) Know What They Know
Language Models (Mostly) Know What They Know
Saurav Kadavath
Tom Conerly
Amanda Askell
T. Henighan
Dawn Drain
...
Nicholas Joseph
Benjamin Mann
Sam McCandlish
C. Olah
Jared Kaplan
ELM
101
809
0
11 Jul 2022
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
697
41,736
0
28 May 2020
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