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2202.12837
Cited By
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
25 February 2022
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAG
LRM
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Papers citing
"Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?"
50 / 972 papers shown
Title
Incomplete In-context Learning
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A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models
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Qi Zhang
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Xuanjing Huang
ALM
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12 May 2025
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction
Máté Gedeon
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55
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30 Apr 2025
Robust Misinformation Detection by Visiting Potential Commonsense Conflict
Bing Wang
Ximing Li
C. Li
Bingrui Zhao
Bo Fu
Renchu Guan
Shengsheng Wang
48
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0
30 Apr 2025
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers
Zhouxiang Fang
Aayush Mishra
Muhan Gao
Anqi Liu
Daniel Khashabi
44
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0
28 Apr 2025
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
J. Wang
Weili Cao
Kaicheng Wang
Xiaoyue Wang
Ashish Dalvi
...
David E. Neal
Maxim Khan
Christopher D. Rosin
R. Paturi
Leon Bergen
30
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0
25 Apr 2025
UFO2: The Desktop AgentOS
Chaoyun Zhang
He Huang
Chiming Ni
J. Mu
Si Qin
...
Minghua Ma
Jian-Guang Lou
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
LLMAG
34
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20 Apr 2025
Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
Gabriel Santos
Rita Julia
Marcelo Nascimento
29
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19 Apr 2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
Huiyi Chen
Jiawei Peng
Kaihua Tang
Xin Geng
Xu Yang
22
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0
19 Apr 2025
Scaling sparse feature circuit finding for in-context learning
Dmitrii Kharlapenko
S. Kamath S
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Arthur Conmy
Neel Nanda
26
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0
18 Apr 2025
On Linear Representations and Pretraining Data Frequency in Language Models
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Noah A. Smith
Sarah Wiegreffe
Yanai Elazar
35
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Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs?
Hansi Zeng
Kai Hui
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Hamed Zamani
Dana Alon
33
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16 Apr 2025
An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation
Andrea Piergentili
Beatrice Savoldi
Matteo Negri
L. Bentivogli
ELM
35
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Automated Python Translation
Joshua Otten
Antonios Anastasopoulos
Kevin Moran
15
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0
15 Apr 2025
Can LLMs handle WebShell detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework
Feijiang Han
Jiaming Zhang
Chuyi Deng
Jianheng Tang
Yunhuai Liu
27
0
0
14 Apr 2025
Improving In-Context Learning with Reasoning Distillation
Nafis Sadeq
Xin Xu
Zhouhang Xie
Julian McAuley
Byungkyu Kang
Prarit Lamba
Xiang Gao
RALM
ReLM
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33
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0
14 Apr 2025
Mimic In-Context Learning for Multimodal Tasks
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Jiale Fu
Chenduo Hao
Xinting Hu
Yingzhe Peng
Xin Geng
Xu Yang
27
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EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation
Diljeet Jagpal
Xi Chen
Vinay P. Namboodiri
DiffM
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48
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On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
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Chenhao Tan
32
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07 Apr 2025
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning
Yingcong Li
Davoud Ataee Tarzanagh
A. S. Rawat
Maryam Fazel
Samet Oymak
25
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06 Apr 2025
CoTAL: Human-in-the-Loop Prompt Engineering, Chain-of-Thought Reasoning, and Active Learning for Generalizable Formative Assessment Scoring
Clayton Cohn
Nicole M. Hutchins
Ashwin T S
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LRM
41
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A Survey of Scaling in Large Language Model Reasoning
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Song Wang
Zhen Tan
Xingbo Fu
Zhenyu Lei
Peng Wang
Huan Liu
Cong Shen
Jundong Li
LRM
86
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0
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Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B
Aleksandra Bakalova
Yana Veitsman
Xinting Huang
Michael Hahn
31
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Monte Carlo Sampling for Analyzing In-Context Examples
S. Schoch
Yangfeng Ji
35
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27 Mar 2025
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
Ziyi Zhou
Xiaoming Zhang
Shenghan Tan
Litian Zhang
Chaozhuo Li
44
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0
27 Mar 2025
Socially Constructed Treatment Plans: Analyzing Online Peer Interactions to Understand How Patients Navigate Complex Medical Conditions
Madhusudan Basak
Omar Sharif
Jessica Hulsey
Elizabeth C. Saunders
Daisy J. Goodman
Luke J. ArchiBald
S. Preum
29
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Transformer-based Wireless Symbol Detection Over Fading Channels
Li Fan
Jing Yang
Cong Shen
36
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Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
Mario Sanz-Guerrero
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LRM
43
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Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
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Yuan Xue
Shikai Guan
Renzhe Xu
Hao Zou
Han Yu
Peng Cui
50
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Synthetic Data Generation Using Large Language Models: Advances in Text and Code
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Laura Diosan
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SyDa
67
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Gricean Norms as a Basis for Effective Collaboration
Fardin Saad
Pradeep K. Murukannaiah
Munindar P. Singh
147
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Automating the loop in traffic incident management on highway
Matteo Cercola
Nicola Gatti
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50
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Test-Time Training Provably Improves Transformers as In-context Learners
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46
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55
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Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation
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38
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Learning to Search Effective Example Sequences for In-Context Learning
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62
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DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering
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60
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Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words
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Yifan Ding
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47
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LLMIdxAdvis: Resource-Efficient Index Advisor Utilizing Large Language Model
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Quantifying the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data
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66
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Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings
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Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
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Effectively Steer LLM To Follow Preference via Building Confident Directions
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In-context Learning vs. Instruction Tuning: The Case of Small and Multilingual Language Models
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