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. 2305.14160
  4. Cited By
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

23 May 2023
Lean Wang
Lei Li
Damai Dai
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
ArXivPDFHTML

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

27 / 27 papers shown
Title
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
Wenpeng Lu
Dawei Song
VLM
56
0
0
23 Mar 2025
Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment
Zhenyu Liu
Dongfang Li
Xinshuo Hu
X. Zhao
Yibin Chen
Baotian Hu
Min-Ling Zhang
46
1
0
13 Mar 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-Disjoint
Qianli Ma
Dongrui Liu
Qian Chen
Linfeng Zhang
Jing Shao
MoMe
91
0
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
85
3
0
17 Feb 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 Encoding
Z. Chen
Mingxiao Li
Z. Chen
Nan Du
Xiaolong Li
Yuexian Zou
53
0
0
19 Jan 2025
Video Diffusion Transformers are In-Context Learners
Video Diffusion Transformers are In-Context Learners
Zhengcong Fei
Di Qiu
Changqian Yu
Debang Li
Mingyuan Fan
VGen
DiffM
142
2
0
14 Dec 2024
Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
Zeping Yu
Sophia Ananiadou
85
0
0
17 Nov 2024
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large
  Language Models
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
Qitan Lv
Jie Wang
Hanzhu Chen
Bin Li
Yongdong Zhang
Feng Wu
HILM
17
3
0
19 Oct 2024
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
Chenxi Wang
Xiang Chen
N. Zhang
Bozhong Tian
Haoming Xu
Shumin Deng
H. Chen
MLLM
LRM
29
4
0
15 Oct 2024
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
Jiachun Li
Pengfei Cao
Zhuoran Jin
Yubo Chen
Kang-Jun Liu
Jun Zhao
LRM
ELM
32
4
0
12 Oct 2024
Temporal Reasoning Transfer from Text to Video
Temporal Reasoning Transfer from Text to Video
Lei Li
Yuanxin Liu
Linli Yao
Peiyuan Zhang
Chenxin An
Lean Wang
Xu Sun
Lingpeng Kong
Qi Liu
LRM
37
6
0
08 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with
  Multi-Perspective Verification and Wrong Information
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information
Yongheng Zhang
Qiguang Chen
Jingxuan Zhou
Peng Wang
Jiasheng Si
Jin Wang
Wenpeng Lu
Libo Qin
LRM
46
3
0
06 Oct 2024
Interpreting Arithmetic Mechanism in Large Language Models through
  Comparative Neuron Analysis
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
Zeping Yu
Sophia Ananiadou
LRM
MILM
27
6
0
21 Sep 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
Wei Chen
Zhen Huang
Liang Xie
Binbin Lin
Houqiang Li
...
Deng Cai
Yonggang Zhang
Wenxiao Wang
Xu Shen
Jieping Ye
42
6
0
03 Sep 2024
EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model
EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model
Feipeng Ma
Yizhou Zhou
Hebei Li
Zilong He
Siying Wu
Fengyun Rao
Siying Wu
Fengyun Rao
Yueyi Zhang
Xiaoyan Sun
29
3
0
21 Aug 2024
Distributed Rule Vectors is A Key Mechanism in Large Language Models'
  In-Context Learning
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning
Bowen Zheng
Ming Ma
Zhongqiao Lin
Tianming Yang
25
1
0
23 Jun 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization
  for Language Models
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
Chengzhengxu Li
Xiaoming Liu
Zhaohan Zhang
Yichen Wang
Chen Liu
Y. Lan
Chao Shen
35
2
0
15 Jun 2024
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
Zefan Cai
Yichi Zhang
Bofei Gao
Yuliang Liu
Y. Li
...
Wayne Xiong
Yue Dong
Baobao Chang
Junjie Hu
Wen Xiao
55
83
0
04 Jun 2024
Implicit In-context Learning
Implicit In-context Learning
Zhuowei Li
Zihao Xu
Ligong Han
Yunhe Gao
Song Wen
Di Liu
Hao Wang
Dimitris N. Metaxas
38
1
0
23 May 2024
Improving Diversity of Commonsense Generation by Large Language Models
  via In-Context Learning
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
Tianhui Zhang
Bei Peng
Danushka Bollegala
LRM
15
7
0
25 Apr 2024
Large Language Models Can Better Understand Knowledge Graphs Than We Thought
Large Language Models Can Better Understand Knowledge Graphs Than We Thought
Xinbang Dai
Yuncheng Hua
Tongtong Wu
Yang Sheng
Qiu Ji
Guilin Qi
75
0
0
18 Feb 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context
  Learning
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning
Yufeng Zhao
Yoshihiro Sakai
Naoya Inoue
25
3
0
08 Feb 2024
Take One Step at a Time to Know Incremental Utility of Demonstration: An
  Analysis on Reranking for Few-Shot In-Context Learning
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
Kazuma Hashimoto
K. Raman
Michael Bendersky
35
2
0
16 Nov 2023
Concise and Organized Perception Facilitates Reasoning in Large Language Models
Concise and Organized Perception Facilitates Reasoning in Large Language Models
Junjie Liu
Shaotian Yan
Chen Shen
Zhengdong Xiao
Wenxiao Wang
Jieping Ye
Jieping Ye
LRM
8
1
0
05 Oct 2023
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
240
456
0
24 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,402
0
28 Jan 2022
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,311
0
17 Jan 2021
1