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. 2306.09479
  4. Cited By
Inverse Scaling: When Bigger Isn't Better

Inverse Scaling: When Bigger Isn't Better

15 June 2023
I. R. McKenzie
Alexander Lyzhov
Michael Pieler
Alicia Parrish
Aaron Mueller
Ameya Prabhu
Euan McLean
Aaron Kirtland
Alexis Ross
Alisa Liu
Andrew Gritsevskiy
Daniel Wurgaft
Derik Kauffman
Gabriel Recchia
Jiacheng Liu
Joe Cavanagh
Max Weiss
Sicong Huang
The Floating Droid
Tom Tseng
Tomasz Korbak
Xudong Shen
Yuhui Zhang
Zhengping Zhou
Najoung Kim
Sam Bowman
Ethan Perez
ArXivPDFHTML

Papers citing "Inverse Scaling: When Bigger Isn't Better"

22 / 22 papers shown
Title
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Alex Warstadt
Aaron Mueller
Leshem Choshen
E. Wilcox
Chengxu Zhuang
...
Rafael Mosquera
Bhargavi Paranjape
Adina Williams
Tal Linzen
Ryan Cotterell
38
106
0
10 Apr 2025
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
Bowen Baker
Joost Huizinga
Leo Gao
Zehao Dou
M. Guan
Aleksander Mądry
Wojciech Zaremba
J. Pachocki
David Farhi
LRM
67
11
0
14 Mar 2025
The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
Richard Ren
Arunim Agarwal
Mantas Mazeika
Cristina Menghini
Robert Vacareanu
...
Matias Geralnik
Adam Khoja
Dean Lee
Summer Yue
Dan Hendrycks
HILM
ALM
88
0
0
05 Mar 2025
BIG-Bench Extra Hard
BIG-Bench Extra Hard
Mehran Kazemi
Bahare Fatemi
Hritik Bansal
John Palowitch
Chrysovalantis Anastasiou
...
Kate Olszewska
Yi Tay
Vinh Q. Tran
Quoc V. Le
Orhan Firat
ELM
LRM
117
4
0
26 Feb 2025
Do Large Language Models Align with Core Mental Health Counseling Competencies?
Do Large Language Models Align with Core Mental Health Counseling Competencies?
Viet Cuong Nguyen
Mohammad Taher
Dongwan Hong
Vinicius Konkolics Possobom
Vibha Thirunellayi Gopalakrishnan
...
Zihang Li
H. J. Soled
Michael L. Birnbaum
Srijan Kumar
M. D. Choudhury
ELM
LM&MA
AI4MH
39
3
0
29 Oct 2024
GRADE: Quantifying Sample Diversity in Text-to-Image Models
GRADE: Quantifying Sample Diversity in Text-to-Image Models
Royi Rassin
Aviv Slobodkin
Shauli Ravfogel
Yanai Elazar
Yoav Goldberg
64
1
0
29 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Zhengyu Hu
Yichuan Li
Zhengyu Chen
J. Wang
Han Liu
Kyumin Lee
Kaize Ding
GNN
125
1
0
09 Oct 2024
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
Tung-Yu Wu
Pei-Yu Lo
ReLM
LRM
44
2
0
02 Oct 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large
  Language Models
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models
Yiyuan Li
Shichao Sun
Pengfei Liu
LRM
49
0
0
01 Jul 2024
$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with
  Sparse Mixture-of-Experts
MoE-RBench\texttt{MoE-RBench}MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
Guanjie Chen
Xinyu Zhao
Tianlong Chen
Yu Cheng
MoE
62
5
0
17 Jun 2024
On the Essence and Prospect: An Investigation of Alignment Approaches
  for Big Models
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
Xinpeng Wang
Shitong Duan
Xiaoyuan Yi
Jing Yao
Shanlin Zhou
Zhihua Wei
Peng Zhang
Dongkuan Xu
Maosong Sun
Xing Xie
OffRL
33
16
0
07 Mar 2024
On the generalization capacity of neural networks during generic
  multimodal reasoning
On the generalization capacity of neural networks during generic multimodal reasoning
Takuya Ito
Soham Dan
Mattia Rigotti
James Kozloski
Murray Campbell
LRM
30
2
0
26 Jan 2024
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal
  Language Models
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani
Yue Dong
Nael B. Abu-Ghazaleh
20
126
0
26 Jul 2023
Mini-Giants: "Small" Language Models and Open Source Win-Win
Mini-Giants: "Small" Language Models and Open Source Win-Win
Zhengping Zhou
Lezhi Li
Xinxi Chen
Andy Li
SyDa
ALM
MoE
24
6
0
17 Jul 2023
Hoodwinked: Deception and Cooperation in a Text-Based Game for Language
  Models
Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Models
Aidan O'Gara
6
36
0
05 Jul 2023
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
240
456
0
24 Sep 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
303
11,881
0
04 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
8,402
0
28 Jan 2022
BBQ: A Hand-Built Bias Benchmark for Question Answering
BBQ: A Hand-Built Bias Benchmark for Question Answering
Alicia Parrish
Angelica Chen
Nikita Nangia
Vishakh Padmakumar
Jason Phang
Jana Thompson
Phu Mon Htut
Sam Bowman
212
367
0
15 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
118
70
0
14 Oct 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
226
4,424
0
23 Jan 2020
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
6,943
0
20 Apr 2018
1