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

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.14160
  4. Cited By
Label Words are Anchors: An Information Flow Perspective for
  Understanding In-Context Learning
v1v2v3v4 (latest)

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
23 May 2023
Lean Wang
Lei Li
Damai Dai
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning"

50 / 102 papers shown
Title
Genomic Next-Token Predictors are In-Context Learners
Genomic Next-Token Predictors are In-Context Learners
Nathan Breslow
Aayush Mishra
Mahler Revsine
Michael C. Schatz
Anqi Liu
Daniel Khashabi
211
0
0
16 Nov 2025
Beyond Plain Demos: A Demo-centric Anchoring Paradigm for In-Context Learning in Alzheimer's Disease Detection
Beyond Plain Demos: A Demo-centric Anchoring Paradigm for In-Context Learning in Alzheimer's Disease Detection
Puzhen Su
Haoran Yin
Yongzhu Miao
Jintao Tang
Shasha Li
Ting Wang
96
0
0
10 Nov 2025
Unveiling Modality Bias: Automated Sample-Specific Analysis for Multimodal Misinformation Benchmarks
Unveiling Modality Bias: Automated Sample-Specific Analysis for Multimodal Misinformation Benchmarks
Hehai Lin
Hui Liu
S. Cao
Jing Li
Haoliang Li
Wenya Wang
220
0
0
08 Nov 2025
How Do LLMs Use Their Depth?
How Do LLMs Use Their Depth?
Akshat Gupta
Jay Yeung
Gopala Anumanchipalli
Anna Ivanova
80
0
0
21 Oct 2025
The Mechanistic Emergence of Symbol Grounding in Language Models
The Mechanistic Emergence of Symbol Grounding in Language Models
Shuyu Wu
Ziqiao Ma
Xiaoxi Luo
Yidong Huang
Josue Torres-Fonseca
Freda Shi
Joyce Chai
LRM
172
2
0
15 Oct 2025
DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
Jiakai Li
Rongzheng Wang
Yizhuo Ma
Shuang Liang
Guangchun Luo
Ke Qin
124
0
0
14 Oct 2025
Fine-Grained Emotion Recognition via In-Context Learning
Fine-Grained Emotion Recognition via In-Context Learning
Zhaochun Ren
Zhou Yang
Chenglong Ye
Haizhou Sun
Chao Chen
Xiaofei Zhu
Xiangwen Liao
112
0
0
08 Oct 2025
LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
Zecheng Tang
Baibei Ji
Quantong Qiu
Haitian Wang
Xiaobo Liang
Juntao Li
Min Zhang
OffRLLRM
156
1
0
08 Oct 2025
Revisiting Long-context Modeling from Context Denoising Perspective
Revisiting Long-context Modeling from Context Denoising Perspective
Zecheng Tang
Baibei Ji
Juntao Li
Lijun Wu
Haijia Gui
Min Zhang
166
0
0
07 Oct 2025
SafeGuider: Robust and Practical Content Safety Control for Text-to-Image Models
SafeGuider: Robust and Practical Content Safety Control for Text-to-Image Models
Peigui Qi
Kunsheng Tang
Wenbo Zhou
Weiming Zhang
N. Yu
Tianwei Zhang
Qing Guo
Jie Zhang
DiffM
254
1
0
05 Oct 2025
Multimodal Function Vectors for Spatial Relations
Multimodal Function Vectors for Spatial Relations
Shuhao Fu
Esther Goldberg
Ying Nian Wu
Hongjing Lu
81
0
0
02 Oct 2025
Binary Autoencoder for Mechanistic Interpretability of Large Language Models
Binary Autoencoder for Mechanistic Interpretability of Large Language Models
Hakaze Cho
Haolin Yang
Brian M. Kurkoski
Naoya Inoue
MQ
196
0
0
25 Sep 2025
On Theoretical Interpretations of Concept-Based In-Context Learning
On Theoretical Interpretations of Concept-Based In-Context Learning
Huaze Tang
Tianren Peng
Shao-Lun Huang
189
0
0
25 Sep 2025
Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation
Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation
Chaojun Nie
Jun Zhou
G. Wang
Shisong Wud
Zichen Wang
166
0
0
24 Sep 2025
Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models
Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models
Jinyeong Kim
Seil Kang
Jiwoo Park
Junhyeok Kim
Seong Jae Hwang
124
1
0
22 Sep 2025
Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
Dubing Chen
Huan Zheng
Yucheng Zhou
Xianfei Li
Wenlong Liao
Tao He
Pai Peng
Jianbing Shen
3DPC
116
3
0
10 Sep 2025
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Tengyu Pan
Zhichao Duan
Zhenyu Li
Bowen Dong
Ning Liu
Xiuxing Li
Jianyong Wang
100
1
0
31 Aug 2025
NEAT: Concept driven Neuron Attribution in LLMs
NEAT: Concept driven Neuron Attribution in LLMs
Vivek Hruday Kavuri
Gargi Shroff
Rahul Mishra
92
0
0
21 Aug 2025
Causality Matters: How Temporal Information Emerges in Video Language Models
Causality Matters: How Temporal Information Emerges in Video Language Models
Yumeng Shi
Quanyu Long
Yin Wu
Wenya Wang
100
1
0
15 Aug 2025
Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
Zhe Ren
CLL
68
0
0
10 Aug 2025
BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
Yuhao Wang
Ruiyang Ren
Yucheng Wang
Jing Liu
Wayne Xin Zhao
Hua Wu
Haifeng Wang
154
0
0
07 Aug 2025
CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction
CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction
Zixuan Li
Binzong Geng
Jing Xiong
Yong He
Yuxuan Hu
...
Liang Zhang
Linjian Mo
Chengming Li
Chuan Yuan
Zhenan Sun
118
0
0
05 Aug 2025
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
Junyao Yang
Jianwei Wang
Huiping Zhuang
Cen Chen
Ziqian Zeng
MoMeLRM
151
0
0
05 Aug 2025
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness
Dingzirui Wang
Xuangliang Zhang
Keyan Xu
Qingfu Zhu
Wanxiang Che
Yang Deng
150
1
0
01 Aug 2025
A Hybrid Early-Exit Algorithm for Large Language Models Based on Space Alignment Decoding (SPADE)
A Hybrid Early-Exit Algorithm for Large Language Models Based on Space Alignment Decoding (SPADE)
Bowen Zheng
Ming Ma
Zhongqiao Lin
Tianming Yang
147
0
0
23 Jul 2025
Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations
Yuxin Dong
Jiachen Jiang
Zhihui Zhu
Xia Ning
194
3
0
10 Jun 2025
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Zhiyu Zhang
Wei Chen
Youfang Lin
Huaiyu Wan
OffRLCLL
373
1
0
04 Jun 2025
Understanding the learned look-ahead behavior of chess neural networks
Understanding the learned look-ahead behavior of chess neural networks
Diogo Cruz
304
0
0
26 May 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Boyan Gao
Xin Wang
Jianlong Wu
David A. Clifton
263
0
0
25 May 2025
From Compression to Expression: A Layerwise Analysis of In-Context Learning
From Compression to Expression: A Layerwise Analysis of In-Context Learning
Jiachen Jiang
Yuxin Dong
Jinxin Zhou
Zhihui Zhu
181
2
0
22 May 2025
Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
Yanshu Li
JianJiang Yang
Ziteng Yang
Bozheng Li
Yi Cao
...
Ligong Han
Yingjie Victor Chen
Songlin Fei
Dongfang Liu
Ruixiang Tang
263
8
0
21 May 2025
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models
Zihao Li
Xu Wang
Yuzhe Yang
Ziyu Yao
Haoyi Xiong
Jundong Li
LLMSVLRM
606
12
0
21 May 2025
Large Language Models as Computable Approximations to Solomonoff Induction
Large Language Models as Computable Approximations to Solomonoff Induction
Jun Wan
Shansong Liu
230
0
0
21 May 2025
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
Haoming Huang
Yibo Yan
Jiahao Huo
Xin Zou
Xinfeng Li
Kun Wang
Xuming Hu
569
1
0
20 May 2025
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment
Jiwei Tang
Zhicheng Zhang
Shunlong Wu
Jingheng Ye
Lichen Bai
...
Tingwei Lu
Jiaqi Chen
Lin Hai
Hai-Tao Zheng
Hong-Gee Kim
257
4
0
18 May 2025
A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
Junjie Ye
Jessica Fan
Zhaoyu Chen
Wenjie Fu
Chenyuan Yang
...
Tao Gui
Qi Zhang
Peng Wang
Jianping Fan
Xuanjing Huang
ALM
220
5
0
12 May 2025
Incomplete In-context Learning
Incomplete In-context Learning
Wenqiang Wang
Yangshijie Zhang
311
0
0
12 May 2025
Page Classification for Print Imaging Pipeline
Page Classification for Print Imaging PipelineColor Imaging: Displaying, Processing, Hardcopy, and Applications (CIC), 2017
Shaoyuan Xu
Cheng Lu
Mark Shaw
Peter Bauer
J. Allebach
VLM
254
13
0
03 Apr 2025
Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B
Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B
Aleksandra Bakalova
Yana Veitsman
Xinting Huang
Michael Hahn
298
6
0
31 Mar 2025
WindowKV: Task-Adaptive Group-Wise KV Cache Window Selection for Efficient LLM Inference
WindowKV: Task-Adaptive Group-Wise KV Cache Window Selection for Efficient LLM Inference
Youhui Zuo
Sibo Wei
C. Zhang
Zhuorui Liu
Sibo Wei
Dawei Song
VLM
402
1
0
23 Mar 2025
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Xinyan Jiang
Hang Ye
Yongxin Zhu
Xiaoying Zheng
Zikang Chen
Jun Gong
419
4
0
17 Mar 2025
Take Off the Training Wheels Progressive In-Context Learning for Effective AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP), 2025
Zhenyu Liu
Dongfang Li
Xinshuo Hu
X. Zhao
Yibin Chen
Baotian Hu
Min Zhang
330
4
0
13 Mar 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data ConsistencyAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Henry Peng Zou
Zhengyao Gu
Yue Zhou
Yankai Chen
Weizhi Zhang
Liancheng Fang
Yibo Wang
Yangning Li
Kay Liu
Philip S. Yu
390
2
0
26 Feb 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Qianli Ma
Dongrui Liu
Qian Chen
Linfeng Zhang
Jing Shao
MoMe
972
3
0
24 Feb 2025
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
Peter Yong Zhong
Siyuan Chen
Ruiqi Wang
McKenna McCall
Ben L. Titzer
Heather Miller
Phillip B. Gibbons
LLMAG
364
18
0
17 Feb 2025
Lost in the Passage: Passage-level In-context Learning Does Not Necessarily Need a "Passage"
Lost in the Passage: Passage-level In-context Learning Does Not Necessarily Need a "Passage"
Hao Sun
Chenming Tang
Gengyang Li
Yunfang Wu
AIMat
223
1
0
15 Feb 2025
Learning Task Representations from In-Context Learning
Learning Task Representations from In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Baturay Saglam
Zhuoran Yang
Zhuoran Yang
Dionysis Kalogerias
Amin Karbasi
274
7
0
08 Feb 2025
Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink
Yining Wang
Mi Zhang
Junjie Sun
Chenyue Wang
Min Yang
Hui Xue
Jialing Tao
Ranjie Duan
Qingbin Liu
233
6
0
28 Jan 2025
Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding
Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position EncodingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Ziyang Chen
Mingxiao Li
Zhongfu Chen
Nan Du
Xiaolong Li
Yuexian Zou
355
3
0
19 Jan 2025
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text Detection
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text DetectionInternational Conference on Computational Linguistics (COLING), 2024
D. Roussinov
Serge Sharoff
Nadezhda Puchnina
257
2
0
31 Dec 2024
123
Next