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2212.02216
Cited By
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration
5 December 2022
Feng Nie
Meixi Chen
Zhirui Zhang
Xuan Cheng
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Papers citing
"Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration"
27 / 27 papers shown
Modeling Ranking Properties with In-Context Learning
Nilanjan Sinhababu
Andrew Parry
Debasis Ganguly
Pabitra Mitra
235
1
0
23 May 2025
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning
Yuze Liu
Tingjie Liu
Tiehua Zhang
Youhua Xia
Jinze Wang
Zhishu Shen
Jiong Jin
Fei Richard Yu
316
1
0
19 Nov 2024
Can Large Language Models Replace Data Scientists in Biomedical Research?
Zhenting Wang
Benjamin Danek
Ziwei Yang
Zheng Chen
Jimeng Sun
ELM
LM&MA
313
0
0
28 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability
International Conference on Learning Representations (ICLR), 2024
Futing Wang
Jianhao Yan
Yue Zhang
Tao Lin
369
6
0
12 Oct 2024
Task Diversity Shortens the ICL Plateau
Jaeyeon Kim
Sehyun Kwon
Joo Young Choi
Jongho Park
Jaewoong Cho
Jason D. Lee
Ernest K. Ryu
MoMe
361
3
0
07 Oct 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
Neural Information Processing Systems (NeurIPS), 2024
Luohe Shi
Yao Yao
Zuchao Li
Lefei Zhang
Hai Zhao
229
0
0
30 Sep 2024
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Nilanjan Sinhababu
Andrew Parry
Debasis Ganguly
D. Samanta
Pabitra Mitra
352
11
0
26 Sep 2024
ICLEval: Evaluating In-Context Learning Ability of Large Language Models
Wentong Chen
Yankai Lin
ZhenHao Zhou
HongYun Huang
Yantao Jia
Bo Zhao
Ji-Rong Wen
ELM
207
9
0
21 Jun 2024
Learnable In-Context Vector for Visual Question Answering
Neural Information Processing Systems (NeurIPS), 2024
Yingzhe Peng
Chenduo Hao
Xu Yang
Jiawei Peng
Xinting Hu
Xin Geng
239
5
0
19 Jun 2024
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
Knowledge Discovery and Data Mining (KDD), 2024
Yizhen Luo
Kai Yang
Massimo Hong
Xing Yi Liu
Zikun Nie
Hao Zhou
Zaiqing Nie
187
12
0
14 Jun 2024
Effective In-Context Example Selection through Data Compression
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Zhongxiang Sun
Kepu Zhang
Haoyu Wang
Xiao Zhang
Jun Xu
303
4
0
19 May 2024
Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents
Sneha Singhania
Simon Razniewski
Gerhard Weikum
RALM
419
2
0
04 May 2024
Are LLMs Effective Backbones for Fine-tuning? An Experimental Investigation of Supervised LLMs on Chinese Short Text Matching
Shulin Liu
Chengcheng Xu
Hao Liu
T. Yu
Tao Yang
247
1
0
29 Mar 2024
One size doesn't fit all: Predicting the Number of Examples for In-Context Learning
European Conference on Information Retrieval (ECIR), 2024
Manish Chandra
Debasis Ganguly
Yiwen Li
240
0
0
11 Mar 2024
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks
Yichao Du
Zhirui Zhang
Linan Yue
Xu Huang
Yuqing Zhang
Tong Xu
Linli Xu
Enhong Chen
FedML
333
11
0
18 Jan 2024
Leveraging Biases in Large Language Models: "bias-kNN'' for Effective Few-Shot Learning
Yong Zhang
Hanzhang Li
Zhitao Li
Ning Cheng
Ming Li
Jing Xiao
Jianzong Wang
258
3
0
18 Jan 2024
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
Neural Information Processing Systems (NeurIPS), 2023
Xu Yang
Yingzhe Peng
Haoxuan Ma
Shuo Xu
Chi Zhang
Yucheng Han
Hanwang Zhang
407
5
0
15 Dec 2023
A Survey of Confidence Estimation and Calibration in Large Language Models
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Fauzan Farooqui
Fengyu Cai
Yuxia Wang
Heinz Koeppl
Preslav Nakov
Iryna Gurevych
UQCV
481
162
0
14 Nov 2023
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Chen Dun
Mirian Hipolito Garcia
Guoqing Zheng
Ahmed Hassan Awadallah
Anastasios Kyrillidis
Robert Sim
393
7
0
04 Oct 2023
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Nature Network Boston (NNB), 2023
Dave Van Veen
Cara Van Uden
Louis Blankemeier
Jean-Benoit Delbrouck
Asad Aali
...
C. Langlotz
Jason Hom
S. Gatidis
John M. Pauly
Akshay S. Chaudhari
ELM
AI4MH
LM&MA
915
573
0
14 Sep 2023
RRAML: Reinforced Retrieval Augmented Machine Learning
Andrea Bacciu
Florin Cocunasu
F. Siciliano
Fabrizio Silvestri
Nicola Tonellotto
Giovanni Trappolini
RALM
338
9
0
24 Jul 2023
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
R. Gao
Zhirui Zhang
Yichao Du
Lemao Liu
Rui Wang
345
2
0
22 May 2023
Multi-Prompt with Depth Partitioned Cross-Modal Learning
Yingjie Tian
Yiqi Wang
Xianda Guo
Zheng Hua Zhu
Long Chen
VLM
250
0
0
10 May 2023
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Bohan Li
Longxu Dou
Yutai Hou
Yunlong Feng
Honglin Mu
Qingfu Zhu
Qinghua Sun
Wanxiang Che
VLM
189
5
0
19 Apr 2023
Fairness-guided Few-shot Prompting for Large Language Models
Neural Information Processing Systems (NeurIPS), 2023
Huan Ma
Changqing Zhang
Yatao Bian
Lemao Liu
Zhirui Zhang
P. Zhao
Shu Zhen Zhang
Huazhu Fu
Qinghua Hu
Bing Wu
LLMAG
LRM
220
61
0
23 Mar 2023
Federated Nearest Neighbor Machine Translation
International Conference on Learning Representations (ICLR), 2023
Yichao Du
Zhirui Zhang
Bingzhe Wu
Lemao Liu
Tong Xu
Enhong Chen
FedML
222
7
0
23 Feb 2023
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Dylan Slack
Satyapriya Krishna
Himabindu Lakkaraju
Sameer Singh
333
111
0
08 Jul 2022
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