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Event knowledge in large language models: the gap between the impossible
  and the unlikely

Event knowledge in large language models: the gap between the impossible and the unlikely

2 December 2022
Carina Kauf
Anna A. Ivanova
Giulia Rambelli
Emmanuele Chersoni
Jingyuan Selena She
Zawad Chowdhury
Evelina Fedorenko
Alessandro Lenci
ArXivPDFHTML

Papers citing "Event knowledge in large language models: the gap between the impossible and the unlikely"

10 / 10 papers shown
Title
LangVAE and LangSpace: Building and Probing for Language Model VAEs
LangVAE and LangSpace: Building and Probing for Language Model VAEs
Danilo S. Carvalho
Yingji Zhang
Harriet Unsworth
André Freitas
36
0
0
29 Mar 2025
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
Raj Sanjay Shah
Sashank Varma
LRM
89
0
0
22 Jan 2025
Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event
  Representation
Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation
Safeyah Khaled Alshemali
Daniel Bauer
Yuval Marton
BDL
69
0
0
19 Oct 2024
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on
  Tasks and Challenges
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
Maria Lymperaiou
Giorgos Stamou
VLM
24
4
0
04 Mar 2023
Modeling Event Plausibility with Consistent Conceptual Abstraction
Modeling Event Plausibility with Consistent Conceptual Abstraction
Ian Porada
Kaheer Suleman
Adam Trischler
Jackie C.K. Cheung
109
19
0
20 Apr 2021
A Token-level Reference-free Hallucination Detection Benchmark for
  Free-form Text Generation
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
217
143
0
18 Apr 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
258
343
0
01 Feb 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,808
0
14 Dec 2020
The Sensitivity of Language Models and Humans to Winograd Schema
  Perturbations
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
Mostafa Abdou
Vinit Ravishankar
Maria Barrett
Yonatan Belinkov
Desmond Elliott
Anders Søgaard
ReLM
LRM
52
34
0
04 May 2020
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
406
2,576
0
03 Sep 2019
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