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Time is Encoded in the Weights of Finetuned Language Models

Time is Encoded in the Weights of Finetuned Language Models

20 December 2023
Kai Nylund
Suchin Gururangan
Noah A. Smith
    AI4TS
ArXivPDFHTML

Papers citing "Time is Encoded in the Weights of Finetuned Language Models"

16 / 16 papers shown
Title
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
Jeffrey Li
Mohammadreza Armandpour
Iman Mirzadeh
Sachin Mehta
Vaishaal Shankar
...
Samy Bengio
Oncel Tuzel
Mehrdad Farajtabar
Hadi Pouransari
Fartash Faghri
CLL
KELM
59
0
0
02 Apr 2025
Language Models Can Predict Their Own Behavior
Language Models Can Predict Their Own Behavior
Dhananjay Ashok
Jonathan May
ReLM
AI4TS
LRM
53
0
0
18 Feb 2025
What is a Number, That a Large Language Model May Know It?
What is a Number, That a Large Language Model May Know It?
Raja Marjieh
Veniamin Veselovsky
Thomas L. Griffiths
Ilia Sucholutsky
129
2
0
03 Feb 2025
How to Merge Your Multimodal Models Over Time?
How to Merge Your Multimodal Models Over Time?
Sebastian Dziadzio
Vishaal Udandarao
Karsten Roth
Ameya Prabhu
Zeynep Akata
Samuel Albanie
Matthias Bethge
MoMe
98
2
0
09 Dec 2024
Gradient Localization Improves Lifelong Pretraining of Language Models
Gradient Localization Improves Lifelong Pretraining of Language Models
Jared Fernandez
Yonatan Bisk
Emma Strubell
KELM
31
1
0
07 Nov 2024
Merge to Learn: Efficiently Adding Skills to Language Models with Model
  Merging
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
Jacob Morrison
Noah A. Smith
Hannaneh Hajishirzi
Pang Wei Koh
Jesse Dodge
Pradeep Dasigi
KELM
MoMe
CLL
36
1
0
16 Oct 2024
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
Yein Park
Chanwoong Yoon
Jungwoo Park
Donghyeon Lee
Minbyul Jeong
Jaewoo Kang
KELM
56
1
0
13 Oct 2024
Towards understanding evolution of science through language model series
Towards understanding evolution of science through language model series
Junjie Dong
Zhuoqi Lyu
Qing Ke
AI4TS
28
0
0
15 Sep 2024
Future Events as Backdoor Triggers: Investigating Temporal
  Vulnerabilities in LLMs
Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs
Sara Price
Arjun Panickssery
Sam Bowman
Asa Cooper Stickland
LLMSV
18
3
0
04 Jul 2024
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Bahare Fatemi
Mehran Kazemi
Anton Tsitsulin
Karishma Malkan
Jinyeong Yim
John Palowitch
Sungyong Seo
Jonathan J. Halcrow
Bryan Perozzi
LRM
35
26
0
13 Jun 2024
Continuous Language Model Interpolation for Dynamic and Controllable
  Text Generation
Continuous Language Model Interpolation for Dynamic and Controllable Text Generation
Sara Kangaslahti
David Alvarez-Melis
KELM
29
0
0
10 Apr 2024
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning
Shu Yang
Muhammad Asif Ali
Cheng-Long Wang
Lijie Hu
Di Wang
CLL
MoE
32
38
0
17 Feb 2024
Large Language Models Can Learn Temporal Reasoning
Large Language Models Can Learn Temporal Reasoning
Siheng Xiong
Ali Payani
Ramana Rao Kompella
Faramarz Fekri
LRM
27
73
0
12 Jan 2024
Are Large Language Models Temporally Grounded?
Are Large Language Models Temporally Grounded?
Yifu Qiu
Zheng Zhao
Yftah Ziser
Anna Korhonen
E. Ponti
Shay B. Cohen
LRM
6
8
0
14 Nov 2023
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
3,843
0
18 Apr 2021
Dynamic Word Embeddings
Dynamic Word Embeddings
Robert Bamler
Stephan Mandt
BDL
153
231
0
27 Feb 2017
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