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Improving Temporal Generalization of Pre-trained Language Models with
  Lexical Semantic Change

Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change

31 October 2022
Zhao-yu Su
Zecheng Tang
Xinyan Guan
Juntao Li
Lijun Wu
M. Zhang
    CLL
    AI4CE
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Papers citing "Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change"

18 / 18 papers shown
Title
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
Mingyang Song
Zhaochen Su
Xiaoye Qu
Jiawei Zhou
Yu-Xi Cheng
LRM
53
29
0
06 Jan 2025
SURf: Teaching Large Vision-Language Models to Selectively Utilize
  Retrieved Information
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
Jiashuo Sun
Jihai Zhang
Yucheng Zhou
Zhaochen Su
Xiaoye Qu
Yu Cheng
43
11
0
21 Sep 2024
Timo: Towards Better Temporal Reasoning for Language Models
Timo: Towards Better Temporal Reasoning for Language Models
Zhaochen Su
Jun Zhang
Tong Zhu
Xiaoye Qu
Juntao Li
Min Zhang
Yu Cheng
LRM
47
17
0
20 Jun 2024
Living in the Moment: Can Large Language Models Grasp Co-Temporal
  Reasoning?
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
Zhaochen Su
Juntao Li
Jun Zhang
Tong Zhu
Xiaoye Qu
Pan Zhou
Yan Bowen
Yu Cheng
Min zhang
LRM
39
20
0
13 Jun 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision
  Language Models
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
Peng Xia
Ze Chen
Juanxi Tian
Yangrui Gong
Ruibo Hou
...
Jimeng Sun
Zongyuan Ge
Gang Li
James Zou
Huaxiu Yao
MU
VLM
61
31
0
10 Jun 2024
Analyzing Semantic Change through Lexical Replacements
Analyzing Semantic Change through Lexical Replacements
Francesco Periti
Pierluigi Cassotti
Haim Dubossarsky
Nina Tahmasebi
43
6
0
29 Apr 2024
Label-Free Topic-Focused Summarization Using Query Augmentation
Label-Free Topic-Focused Summarization Using Query Augmentation
Wenchuan Mu
Kwan Hui Lim
RALM
19
1
0
25 Apr 2024
Exploring Concept Depth: How Large Language Models Acquire Knowledge at
  Different Layers?
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
Mingyu Jin
Qinkai Yu
Jingyuan Huang
Qingcheng Zeng
Zhenting Wang
...
Yanda Meng
Kaize Ding
Fan Yang
Mengnan Du
Yongfeng Zhang
35
21
0
10 Apr 2024
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
Ruotong Pan
Boxi Cao
Hongyu Lin
Xianpei Han
Jia Zheng
Sirui Wang
Xunliang Cai
Le Sun
32
9
0
10 Apr 2024
Knowledge Conflicts for LLMs: A Survey
Knowledge Conflicts for LLMs: A Survey
Rongwu Xu
Zehan Qi
Zhijiang Guo
Cunxiang Wang
Hongru Wang
Yue Zhang
Wei Xu
198
92
0
13 Mar 2024
A Semantic Distance Metric Learning approach for Lexical Semantic Change
  Detection
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection
Taichi Aida
Danushka Bollegala
19
3
0
01 Mar 2024
Time is Encoded in the Weights of Finetuned Language Models
Time is Encoded in the Weights of Finetuned Language Models
Kai Nylund
Suchin Gururangan
Noah A. Smith
AI4TS
20
17
0
20 Dec 2023
Once Upon a $\textit{Time}$ in $\textit{Graph}$: Relative-Time
  Pretraining for Complex Temporal Reasoning
Once Upon a Time\textit{Time}Time in Graph\textit{Graph}Graph: Relative-Time Pretraining for Complex Temporal Reasoning
Sen Yang
Xin Li
Li Bing
Wai Lam
AI4CE
21
9
0
23 Oct 2023
Can Word Sense Distribution Detect Semantic Changes of Words?
Can Word Sense Distribution Detect Semantic Changes of Words?
Xiaohang Tang
Yi Zhou
Taichi Aida
Procheta Sen
Danushka Bollegala
15
6
0
16 Oct 2023
$\textit{Swap and Predict}$ -- Predicting the Semantic Changes in Words
  across Corpora by Context Swapping
Swap and Predict\textit{Swap and Predict}Swap and Predict -- Predicting the Semantic Changes in Words across Corpora by Context Swapping
Taichi Aida
Danushka Bollegala
23
4
0
16 Oct 2023
Unsupervised Semantic Variation Prediction using the Distribution of
  Sibling Embeddings
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings
Taichi Aida
Danushka Bollegala
18
8
0
15 May 2023
Dynamic Word Embeddings
Dynamic Word Embeddings
Robert Bamler
Stephan Mandt
BDL
153
231
0
27 Feb 2017
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
82
2,978
0
04 Mar 2010
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