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. 2406.01382
  4. Cited By
Do Large Language Models Perform the Way People Expect? Measuring the
  Human Generalization Function

Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function

3 June 2024
Keyon Vafa
Ashesh Rambachan
S. Mullainathan
    ELM
    ALM
ArXivPDFHTML

Papers citing "Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function"

11 / 11 papers shown
Title
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
Katherine M. Collins
Umang Bhatt
Ilia Sucholutsky
105
1
0
16 Jan 2025
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina
Yuan Gao
Dokyun Lee
Gordon Burtch
Sina Fazelpour
LRM
82
9
0
25 Oct 2024
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDa
MoMe
156
1,583
0
15 Dec 2022
Interactive Machine Learning: A State of the Art Review
Interactive Machine Learning: A State of the Art Review
Natnael A. Wondimu
Cédric Buche
U. Visser
VLM
HAI
71
9
0
13 Jul 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical
  Studies
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
73
188
0
21 Dec 2021
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining
  Large Language Model Prompts
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Tongshuang Wu
Michael Terry
Carrie J. Cai
LLMAG
AI4CE
LRM
67
452
0
04 Oct 2021
How Much Automation Does a Data Scientist Want?
How Much Automation Does a Data Scientist Want?
Dakuo Wang
Q. V. Liao
Yunfeng Zhang
Udayan Khurana
Horst Samulowitz
Soya Park
Michael J. Muller
Lisa Amini
AI4CE
49
55
0
07 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
163
1,418
0
14 Dec 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
101
541
0
01 Jul 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on
  Complementary Team Performance
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal
Tongshuang Wu
Joyce Zhou
Raymond Fok
Besmira Nushi
Ece Kamar
Marco Tulio Ribeiro
Daniel S. Weld
70
588
0
26 Jun 2020
Learning to Faithfully Rationalize by Construction
Learning to Faithfully Rationalize by Construction
Sarthak Jain
Sarah Wiegreffe
Yuval Pinter
Byron C. Wallace
62
162
0
30 Apr 2020
1