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. 2211.09085
  4. Cited By
Galactica: A Large Language Model for Science

Galactica: A Large Language Model for Science

16 November 2022
Ross Taylor
Marcin Kardas
Guillem Cucurull
Thomas Scialom
Anthony Hartshorn
Elvis Saravia
Andrew Poulton
Viktor Kerkez
Robert Stojnic
    ELM
    ReLM
ArXivPDFHTML

Papers citing "Galactica: A Large Language Model for Science"

50 / 100 papers shown
Title
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomáš Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALM
LM&MA
ELM
115
347
0
09 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum
  Reinforcement Learning
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi
Wenxiang Chen
Boyang Hong
Senjie Jin
Rui Zheng
...
Xinbo Zhang
Peng Sun
Tao Gui
Qi Zhang
Xuanjing Huang
LRM
27
20
0
08 Feb 2024
LitLLM: A Toolkit for Scientific Literature Review
LitLLM: A Toolkit for Scientific Literature Review
Shubham Agarwal
I. Laradji
Laurent Charlin
Christopher Pal
Krishnamurthy DJ Dvijotham
Jason Stanley
Laurent Charlin
Christopher Pal
33
20
0
02 Feb 2024
Improving Medical Reasoning through Retrieval and Self-Reflection with
  Retrieval-Augmented Large Language Models
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
Minbyul Jeong
Jiwoong Sohn
Mujeen Sung
Jaewoo Kang
8
27
0
27 Jan 2024
Towards 3D Molecule-Text Interpretation in Language Models
Towards 3D Molecule-Text Interpretation in Language Models
Sihang Li
Zhiyuan Liu
Yancheng Luo
Xiang Wang
Xiangnan He
Kenji Kawaguchi
Tat-Seng Chua
Qi Tian
AI4CE
24
42
0
25 Jan 2024
Jack of All Tasks, Master of Many: Designing General-purpose
  Coarse-to-Fine Vision-Language Model
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model
Shraman Pramanick
Guangxing Han
Rui Hou
Sayan Nag
Ser-Nam Lim
Nicolas Ballas
Qifan Wang
Rama Chellappa
Amjad Almahairi
VLM
MLLM
38
29
0
19 Dec 2023
Towards Verifiable Text Generation with Evolving Memory and
  Self-Reflection
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
Hao-Lun Sun
Hengyi Cai
Bo Wang
Yingyan Hou
Xiaochi Wei
Shuaiqiang Wang
Yan Zhang
Dawei Yin
18
8
0
14 Dec 2023
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
25
4
0
11 Dec 2023
Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
Sagi Shaier
Lawrence E Hunter
K. Wense
23
3
0
16 Oct 2023
Language models in molecular discovery
Language models in molecular discovery
Chaoqi Wang
Yibo Jiang
Chenghao Yang
Han Liu
Yuxin Chen
14
7
0
28 Sep 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual
  Knowledge for In-Context Learning
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
J. Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
KELM
26
4
0
26 Sep 2023
Baichuan 2: Open Large-scale Language Models
Baichuan 2: Open Large-scale Language Models
Ai Ming Yang
Bin Xiao
Bingning Wang
Borong Zhang
Ce Bian
...
Youxin Jiang
Yuchen Gao
Yupeng Zhang
Zenan Zhou
Zhiying Wu
ELM
LRM
34
678
0
19 Sep 2023
Aligning Large Language Models for Clinical Tasks
Aligning Large Language Models for Clinical Tasks
Supun Manathunga
Isuru Hettigoda
LM&MA
ELM
AI4MH
11
10
0
06 Sep 2023
GPT Can Solve Mathematical Problems Without a Calculator
GPT Can Solve Mathematical Problems Without a Calculator
Z. Yang
Ming Ding
Qingsong Lv
Zhihuan Jiang
Zehai He
Yuyi Guo
Jinfeng Bai
Jie Tang
RALM
LRM
26
51
0
06 Sep 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
48
14
0
23 Aug 2023
Synergi: A Mixed-Initiative System for Scholarly Synthesis and
  Sensemaking
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking
Hyeonsu B Kang
Sherry Wu
Joseph Chee Chang
A. Kittur
16
33
0
15 Aug 2023
Teaching Smaller Language Models To Generalise To Unseen Compositional
  Questions
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill
N. Tan
Michael Witbrock
Patricia J. Riddle
ReLM
KELM
LRM
13
2
0
02 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
70
10,890
0
18 Jul 2023
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge
Gilchan Park
Byung-Jun Yoon
Xihaier Luo
Vanessa López-Marrero
Shinjae Yoo
Francis J. Alexander
28
10
0
17 Jul 2023
Leveraging Knowledge Graph Embeddings to Enhance Contextual
  Representations for Relation Extraction
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction
F. Laleye
Loïc Rakotoson
S. Massip
8
1
0
07 Jun 2023
Faith and Fate: Limits of Transformers on Compositionality
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
...
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
ReLM
LRM
28
324
0
29 May 2023
GPT-SW3: An Autoregressive Language Model for the Nordic Languages
GPT-SW3: An Autoregressive Language Model for the Nordic Languages
Ariel Ekgren
Amaru Cuba Gyllensten
Felix Stollenwerk
Joey Öhman
T. Isbister
Evangelia Gogoulou
F. Carlsson
Alice Heiman
Judit Casademont
Magnus Sahlgren
16
13
0
22 May 2023
Appraising the Potential Uses and Harms of LLMs for Medical Systematic
  Reviews
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews
Hye Sun Yun
Iain J. Marshall
T. Trikalinos
Byron C. Wallace
11
16
0
19 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
27
81
0
19 May 2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Zequn Liu
Wei Zhang
Yingce Xia
Lijun Wu
Shufang Xie
Tao Qin
M. Zhang
Tie-Yan Liu
16
66
0
18 May 2023
Are Large Language Models Fit For Guided Reading?
Are Large Language Models Fit For Guided Reading?
Peter Ochieng
LM&MA
ELM
AI4Ed
9
2
0
18 May 2023
"It's Weird That it Knows What I Want": Usability and Interactions with
  Copilot for Novice Programmers
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers
James Prather
B. Reeves
Paul Denny
Brett A. Becker
Juho Leinonen
Andrew Luxton-Reilly
Garrett B. Powell
James Finnie-Ansley
E. Santos
19
129
0
05 Apr 2023
Scientists' Perspectives on the Potential for Generative AI in their
  Fields
Scientists' Perspectives on the Potential for Generative AI in their Fields
Meredith Ringel Morris
AI4CE
20
36
0
04 Apr 2023
BloombergGPT: A Large Language Model for Finance
BloombergGPT: A Large Language Model for Finance
Shijie Wu
Ozan Irsoy
Steven Lu
Vadim Dabravolski
Mark Dredze
Sebastian Gehrmann
P. Kambadur
David S. Rosenberg
Gideon Mann
AIFin
34
770
0
30 Mar 2023
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment
  using Adversarial Learning
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning
Thorsten Eisenhofer
Erwin Quiring
Jonas Moller
Doreen Riepel
Thorsten Holz
Konrad Rieck
AAML
16
6
0
25 Mar 2023
Scaling Expert Language Models with Unsupervised Domain Discovery
Scaling Expert Language Models with Unsupervised Domain Discovery
Suchin Gururangan
Margaret Li
M. Lewis
Weijia Shi
Tim Althoff
Noah A. Smith
Luke Zettlemoyer
MoE
8
46
0
24 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
19
493
0
07 Mar 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
60
60
0
09 Feb 2023
The unreasonable effectiveness of few-shot learning for machine
  translation
The unreasonable effectiveness of few-shot learning for machine translation
Xavier Garcia
Yamini Bansal
Colin Cherry
George F. Foster
M. Krikun
Fan Feng
Melvin Johnson
Orhan Firat
27
102
0
02 Feb 2023
GAMMT: Generative Ambiguity Modeling Using Multiple Transformers
GAMMT: Generative Ambiguity Modeling Using Multiple Transformers
Xingcheng Xu
14
0
0
16 Nov 2022
Controllable Citation Sentence Generation with Language Models
Controllable Citation Sentence Generation with Language Models
Nianlong Gu
Richard H. R. Hahnloser
23
2
0
14 Nov 2022
BioGPT: Generative Pre-trained Transformer for Biomedical Text
  Generation and Mining
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
Renqian Luo
Liai Sun
Yingce Xia
Tao Qin
Sheng Zhang
Hoifung Poon
Tie-Yan Liu
MedIm
AI4CE
LM&MA
34
780
0
19 Oct 2022
Variational Open-Domain Question Answering
Variational Open-Domain Question Answering
Valentin Liévin
Andreas Geert Motzfeldt
Ida Riis Jensen
Ole Winther
OOD
BDL
18
8
0
23 Sep 2022
In conversation with Artificial Intelligence: aligning language models
  with human values
In conversation with Artificial Intelligence: aligning language models with human values
Atoosa Kasirzadeh
Iason Gabriel
8
98
0
01 Sep 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
291
2,712
0
24 May 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
DOCKSTRING: easy molecular docking yields better benchmarks for ligand
  design
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
Miguel García-Ortegón
G. Simm
Austin Tripp
José Miguel Hernández-Lobato
A. Bender
S. Bacallado
30
73
0
29 Oct 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
237
690
0
27 Aug 2021
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
237
588
0
14 Jul 2021
PonderNet: Learning to Ponder
PonderNet: Learning to Ponder
Andrea Banino
Jan Balaguer
Charles Blundell
PINN
AIMat
92
80
0
12 Jul 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
223
4,424
0
23 Jan 2020
PubMedQA: A Dataset for Biomedical Research Question Answering
PubMedQA: A Dataset for Biomedical Research Question Answering
Qiao Jin
Bhuwan Dhingra
Zhengping Liu
William W. Cohen
Xinghua Lu
202
791
0
13 Sep 2019
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
204
607
0
03 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
396
2,576
0
03 Sep 2019
Previous
12