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Supervised Knowledge Makes Large Language Models Better In-context
  Learners

Supervised Knowledge Makes Large Language Models Better In-context Learners

26 December 2023
Linyi Yang
Shuibai Zhang
Zhuohao Yu
Guangsheng Bao
Yidong Wang
Jindong Wang
Ruochen Xu
Weirong Ye
Xing Xie
Weizhu Chen
Yue Zhang
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Papers citing "Supervised Knowledge Makes Large Language Models Better In-context Learners"

19 / 19 papers shown
Title
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
Qiujie Xie
Qingqiu Li
Zhuohao Yu
Yuejie Zhang
Yue Zhang
Linyi Yang
ELM
53
1
0
15 Feb 2025
Outcome-Refining Process Supervision for Code Generation
Outcome-Refining Process Supervision for Code Generation
Zhuohao Yu
Weizheng Gu
Yidong Wang
Zhengran Zeng
Jindong Wang
Wei Ye
Shikun Zhang
LRM
84
4
0
19 Dec 2024
Improving In-Context Learning with Small Language Model Ensembles
Improving In-Context Learning with Small Language Model Ensembles
M. Mehdi Mojarradi
Lingyi Yang
Robert McCraith
Adam Mahdi
26
0
0
29 Oct 2024
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
Lipeng Ma
Weidong Yang
Sihang Jiang
Ben Fei
Mingjie Zhou
Shuhao Li
Bo Xu
Bo Xu
Yanghua Xiao
47
0
0
03 Sep 2024
Enhancing In-Context Learning via Implicit Demonstration Augmentation
Enhancing In-Context Learning via Implicit Demonstration Augmentation
Xiaoling Zhou
Wei Ye
Yidong Wang
Chaoya Jiang
Zhemg Lee
Rui Xie
Shikun Zhang
20
3
0
27 Jun 2024
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
Zhou Yang
Zhou Yang
Chenglong Ye
Yufeng Wang
Haizhou Sun
Chao Chen
Xiaofei Zhu
Yunbing Wu
Xiangwen Liao
44
0
0
04 Jun 2024
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation
  of Large Language Models
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
Zhuohao Yu
Chang Gao
Wenjin Yao
Yidong Wang
Zhengran Zeng
Wei Ye
Jindong Wang
Yue Zhang
Shikun Zhang
28
1
0
09 Apr 2024
A Rationale-centric Counterfactual Data Augmentation Method for
  Cross-Document Event Coreference Resolution
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution
Bowen Ding
Qingkai Min
Shengkun Ma
Yingjie Li
Linyi Yang
Yue Zhang
25
3
0
02 Apr 2024
Large Multimodal Agents: A Survey
Large Multimodal Agents: A Survey
Junlin Xie
Zhihong Chen
Ruifei Zhang
Xiang Wan
Guanbin Li
LM&Ro
LLMAG
37
4
0
23 Feb 2024
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large
  Language Models
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
Zhuohao Yu
Chang Gao
Wenjin Yao
Yidong Wang
Wei Ye
Jindong Wang
Xing Xie
Yue Zhang
Shikun Zhang
27
20
0
23 Feb 2024
SymbolicAI: A framework for logic-based approaches combining generative
  models and solvers
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Marius-Constantin Dinu
Claudiu Leoveanu-Condrei
Markus Holzleitner
Werner Zellinger
Sepp Hochreiter
28
8
0
01 Feb 2024
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning
  Optimization
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Yidong Wang
Zhuohao Yu
Zhengran Zeng
Linyi Yang
Cunxiang Wang
...
Jindong Wang
Xingxu Xie
Wei Ye
Shi-Bo Zhang
Yue Zhang
ALM
ELM
30
138
0
08 Jun 2023
Pre-Training to Learn in Context
Pre-Training to Learn in Context
Yuxian Gu
Li Dong
Furu Wei
Minlie Huang
CLIP
LRM
ReLM
106
37
0
16 May 2023
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLM
LRM
195
160
0
05 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 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
8,261
0
28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
882
0
18 Apr 2021
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
1,296
0
17 Jan 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
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