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. 2311.04954
  4. Cited By
Prompt Sketching for Large Language Models

Prompt Sketching for Large Language Models

8 November 2023
Luca Beurer-Kellner
Mark Niklas Muller
Marc Fischer
Martin Vechev
    KELM
    LRM
ArXivPDFHTML

Papers citing "Prompt Sketching for Large Language Models"

14 / 14 papers shown
Title
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning
Hang Gao
Chenhao Zhang
Tie Wang
Junsuo Zhao
Fengge Wu
Changwen Zheng
Huaping Liu
LRM
29
0
0
09 May 2025
Affordable AI Assistants with Knowledge Graph of Thoughts
Affordable AI Assistants with Knowledge Graph of Thoughts
Maciej Besta
Lorenzo Paleari
Jia Hao Andrea Jiang
Robert Gerstenberger
You Wu
...
Jón Gunnar Hannesson
Grzegorz Kwa'sniewski
Marcin Copik
H. Niewiadomski
Torsten Hoefler
LLMAG
RALM
151
0
0
03 Apr 2025
Large Language Models for Generative Information Extraction: A Survey
Large Language Models for Generative Information Extraction: A Survey
Derong Xu
Wei-neng Chen
Wenjun Peng
Chao Zhang
Tong Xu
Xiangyu Zhao
Xian Wu
Yefeng Zheng
Yang Wang
Enhong Chen
40
144
0
29 Dec 2023
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
246
2,494
0
06 Oct 2022
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
211
207
0
05 Oct 2022
ThinkSum: Probabilistic reasoning over sets using large language models
ThinkSum: Probabilistic reasoning over sets using large language models
Batu Mehmet Ozturkler
Nikolay Malkin
Zhen Wang
Nebojsa Jojic
ReLM
LRM
49
22
0
04 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
325
4,077
0
24 May 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
314
3,248
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
313
11,953
0
04 Mar 2022
PromptSource: An Integrated Development Environment and Repository for
  Natural Language Prompts
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach
Victor Sanh
Zheng-Xin Yong
Albert Webson
Colin Raffel
...
Khalid Almubarak
Xiangru Tang
Dragomir R. Radev
Mike Tian-Jian Jiang
Alexander M. Rush
VLM
225
338
0
02 Feb 2022
Locally Typical Sampling
Locally Typical Sampling
Clara Meister
Tiago Pimentel
Gian Wiher
Ryan Cotterell
143
86
0
01 Feb 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
367
8,495
0
28 Jan 2022
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit
  Reasoning Strategies
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Mor Geva
Daniel Khashabi
Elad Segal
Tushar Khot
Dan Roth
Jonathan Berant
RALM
250
677
0
06 Jan 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
1