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Advancements in Scientific Controllable Text Generation Methods

Advancements in Scientific Controllable Text Generation Methods

8 July 2023
Arnav Goel
Medha Hira
Avinash Anand
Siddhesh Bangar
R. Shah
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Papers citing "Advancements in Scientific Controllable Text Generation Methods"

9 / 9 papers shown
Title
Depression Detection and Analysis using Large Language Models on Textual
  and Audio-Visual Modalities
Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities
Avinash Anand
Chayan Tank
Sarthak Pol
Vinayak Katoch
Shaina Mehta
R. Shah
32
4
0
08 Jul 2024
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering
Avinash Anand
Janak Kapuriya
Chhavi Kirtani
Apoorv Singh
Jay Saraf
Naman Lal
Jatin Kumar
A. Shivam
Astha Verma
R. Shah
OffRL
40
9
0
19 Apr 2024
Mixture of Soft Prompts for Controllable Data Generation
Mixture of Soft Prompts for Controllable Data Generation
Derek Chen
Celine Lee
Yunan Lu
Domenic Rosati
Zhou Yu
109
22
0
02 Mar 2023
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
347
8,457
0
28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,844
0
18 Apr 2021
Exploring Controllable Text Generation Techniques
Exploring Controllable Text Generation Techniques
Shrimai Prabhumoye
A. Black
Ruslan Salakhutdinov
AI4CE
154
84
0
04 May 2020
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and
  Strategic Dialog History
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History
Yiheng Zhou
Yulia Tsvetkov
A. Black
Zhou Yu
136
28
0
30 Sep 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
277
1,587
0
18 Sep 2019
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
6,743
0
26 Sep 2016
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