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Temporal Effects on Pre-trained Models for Language Processing Tasks
v1v2 (latest)

Temporal Effects on Pre-trained Models for Language Processing Tasks

24 November 2021
Oshin Agarwal
A. Nenkova
    VLM
ArXiv (abs)PDFHTML

Papers citing "Temporal Effects on Pre-trained Models for Language Processing Tasks"

39 / 39 papers shown
Title
Decoding the Past: Explainable Machine Learning Models for Dating Historical Texts
Decoding the Past: Explainable Machine Learning Models for Dating Historical Texts
Paulo J. N. Pinto
A. Pinho
Diogo Pratas
AI4CE
183
0
0
28 Nov 2025
DocMEdit: Towards Document-Level Model Editing
DocMEdit: Towards Document-Level Model EditingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Li Zeng
Zeming Liu
Chong Feng
Heyan Huang
Yuhang Guo
KELM
162
2
0
26 May 2025
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM PretrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Jeffrey Li
Mohammadreza Armandpour
Iman Mirzadeh
Sachin Mehta
Vaishaal Shankar
...
Samy Bengio
Oncel Tuzel
Mehrdad Farajtabar
Hadi Pouransari
Fartash Faghri
CLLKELM
326
3
0
02 Apr 2025
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
Hui Dai
Ryan Teehan
Mengye Ren
KELMAIFinELM
244
7
0
13 Nov 2024
FAME: Towards Factual Multi-Task Model Editing
FAME: Towards Factual Multi-Task Model EditingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Li Zeng
Yingyu Shan
Zeming Liu
Jiashu Yao
Yuhang Guo
KELM
157
2
0
07 Oct 2024
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large
  Language Models
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
Akshaj Kumar Veldanda
Shi-Xiong Zhang
Anirban Das
Supriyo Chakraborty
Stephen Rawls
Sambit Sahu
Milind Naphade
KELMMU
210
4
0
19 Sep 2024
Time Matters: Examine Temporal Effects on Biomedical Language Models
Time Matters: Examine Temporal Effects on Biomedical Language Models
Weisi Liu
Zhe He
Xiaolei Huang
201
8
0
24 Jul 2024
CHEW: A Dataset of CHanging Events in Wikipedia
CHEW: A Dataset of CHanging Events in Wikipedia
Hsuvas Borkakoty
Luis Espinosa-Anke
215
2
0
27 Jun 2024
ChronosLex: Time-aware Incremental Training for Temporal Generalization
  of Legal Classification Tasks
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Santosh T.Y.S.S
Tuan-Quang Vuong
Matthias Grabmair
AILawCLL
199
8
0
23 May 2024
A Systematic Analysis on the Temporal Generalization of Language Models
  in Social Media
A Systematic Analysis on the Temporal Generalization of Language Models in Social MediaWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 2024
Asahi Ushio
Jose Camacho-Collados
125
0
0
15 May 2024
Future Language Modeling from Temporal Document History
Future Language Modeling from Temporal Document History
Changmao Li
Jeffrey Flanigan
AI4TS
128
0
0
16 Apr 2024
Set the Clock: Temporal Alignment of Pretrained Language Models
Set the Clock: Temporal Alignment of Pretrained Language Models
Bowen Zhao
Zander Brumbaugh
Yizhong Wang
Hanna Hajishirzi
Noah A. Smith
CLLKELM
300
23
0
26 Feb 2024
See the Unseen: Better Context-Consistent Knowledge-Editing by Noises
See the Unseen: Better Context-Consistent Knowledge-Editing by Noises
Youcheng Huang
Wenqiang Lei
Zheng Zhang
Jiancheng Lv
Shuicheng Yan
KELM
181
6
0
15 Jan 2024
ALCUNA: Large Language Models Meet New Knowledge
ALCUNA: Large Language Models Meet New KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xunjian Yin
Baizhou Huang
Xiaojun Wan
243
35
0
23 Oct 2023
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for
  Social Media NLP Research
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP ResearchConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Dimosthenis Antypas
Asahi Ushio
Francesco Barbieri
Leonardo Neves
Kiamehr Rezaee
Luis Espinosa-Anke
Jiaxin Pei
Jose Camacho-Collados
131
15
0
23 Oct 2023
Keeping in Time: Adding Temporal Context to Sentiment Analysis Models
Keeping in Time: Adding Temporal Context to Sentiment Analysis ModelsConference and Labs of the Evaluation Forum (CLEF), 2023
Dean Ninalga
127
0
0
24 Sep 2023
WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset
WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs DatasetRecent Advances in Natural Language Processing (RANLP), 2023
Hsuvas Borkakoty
Luis Espinosa-Anke
201
1
0
07 Aug 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs EvaluationsNeural Information Processing Systems (NeurIPS), 2023
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
362
128
0
07 Jun 2023
Characterizing and Measuring Linguistic Dataset Drift
Characterizing and Measuring Linguistic Dataset DriftAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Tyler A. Chang
Kishaloy Halder
Neha Ann John
Yogarshi Vyas
Yassine Benajiba
Miguel Ballesteros
Dan Roth
147
3
0
26 May 2023
Are Large Language Models Robust Coreference Resolvers?
Are Large Language Models Robust Coreference Resolvers?
Nghia T. Le
Alan Ritter
LRM
151
16
0
23 May 2023
A Pretrainer's Guide to Training Data: Measuring the Effects of Data
  Age, Domain Coverage, Quality, & Toxicity
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Shayne Longpre
Gregory Yauney
Emily Reif
Katherine Lee
Adam Roberts
...
Denny Zhou
Jason W. Wei
Kevin Robinson
David M. Mimno
Daphne Ippolito
324
206
0
22 May 2023
Can LMs Generalize to Future Data? An Empirical Analysis on Text
  Summarization
Can LMs Generalize to Future Data? An Empirical Analysis on Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
C. Cheang
Hou Pong Chan
Yang Li
Xuebo Liu
Zhao Li
Yanming Sun
Shudong Liu
Lidia S. Chao
481
10
0
03 May 2023
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift
  with Multiple Views
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple ViewsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Katerina Margatina
Shuai Wang
Yogarshi Vyas
Neha Ann John
Yassine Benajiba
Miguel Ballesteros
151
22
0
23 Feb 2023
Boosting classification reliability of NLP transformer models in the
  long run
Boosting classification reliability of NLP transformer models in the long runSN Computer Science (SN Comput. Sci.), 2023
Zoltán Kmetty
Bence Kollányi
Krisztián Boros
115
3
0
20 Feb 2023
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks
  using Chronological Splits
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological SplitsFindings (Findings), 2023
Yida Mu
Kalina Bontcheva
Nikolaos Aletras
129
22
0
06 Feb 2023
TempEL: Linking Dynamically Evolving and Newly Emerging Entities
TempEL: Linking Dynamically Evolving and Newly Emerging EntitiesNeural Information Processing Systems (NeurIPS), 2023
Klim Zaporojets
Lucie-Aimée Kaffee
Johannes Deleu
Thomas Demeester
Chris Develder
Isabelle Augenstein
KELM
254
19
0
05 Feb 2023
Continuously Reliable Detection of New-Normal Misinformation: Semantic
  Masking and Contrastive Smoothing in High-Density Latent Regions
Continuously Reliable Detection of New-Normal Misinformation: Semantic Masking and Contrastive Smoothing in High-Density Latent Regions
Abhijit Suprem
J. Ferreira
C. Pu
AAML
206
1
0
19 Jan 2023
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Shuheng Liu
Alan Ritter
AI4TS
231
15
0
19 Dec 2022
Time-aware Prompting for Text Generation
Time-aware Prompting for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Shuyang Cao
Lu Wang
137
13
0
03 Nov 2022
On the Impact of Temporal Concept Drift on Model Explanations
On the Impact of Temporal Concept Drift on Model ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhixue Zhao
G. Chrysostomou
Kalina Bontcheva
Nikolaos Aletras
207
16
0
17 Oct 2022
Mass-Editing Memory in a Transformer
Mass-Editing Memory in a TransformerInternational Conference on Learning Representations (ICLR), 2022
Kevin Meng
Arnab Sen Sharma
A. Andonian
Yonatan Belinkov
David Bau
KELMVLM
357
768
0
13 Oct 2022
Named Entity Recognition in Twitter: A Dataset and Analysis on
  Short-Term Temporal Shifts
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
Asahi Ushio
Leonardo Neves
Vítor Silva
Francesco Barbieri
Jose Camacho-Collados
249
38
0
07 Oct 2022
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social
  Media
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social MediaInternational Conference on Computational Linguistics (COLING), 2022
Daniel Loureiro
Aminette D'Souza
Areej Muhajab
Isabella A. White
Gabriel Wong
Luis Espinosa Anke
Leonardo Neves
Francesco Barbieri
Jose Camacho-Collados
171
27
0
15 Sep 2022
Learning Dynamic Contextualised Word Embeddings via Template-based
  Temporal Adaptation
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiaohang Tang
Yi Zhou
Danushka Bollegala
277
7
0
23 Aug 2022
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed
  Depression Diagnoses
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression DiagnosesWorkshop on Computational Linguistics and Clinical Psychology (CLPsych), 2022
Keith Harrigian
Mark Dredze
246
4
0
22 Jun 2022
TemporalWiki: A Lifelong Benchmark for Training and Evaluating
  Ever-Evolving Language Models
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Joel Jang
Seonghyeon Ye
Changho Lee
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Minjoon Seo
CLLKELM
377
113
0
29 Apr 2022
TimeLMs: Diachronic Language Models from Twitter
TimeLMs: Diachronic Language Models from TwitterAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Daniel Loureiro
Francesco Barbieri
Leonardo Neves
Luis Espinosa Anke
Jose Camacho-Collados
216
312
0
08 Feb 2022
Temporal Attention for Language Models
Temporal Attention for Language Models
Guy D. Rosin
Kira Radinsky
VLM
289
36
0
04 Feb 2022
The challenges of temporal alignment on Twitter during crises
The challenges of temporal alignment on Twitter during crisesConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Aniket Pramanick
Tilman Beck
Kevin Stowe
Iryna Gurevych
169
4
0
17 Apr 2021
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