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WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive
  Meaning Representations
v1v2v3 (latest)

WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

28 August 2018
Mohammad Taher Pilehvar
Jose Camacho-Collados
ArXiv (abs)PDFHTML

Papers citing "WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations"

50 / 339 papers shown
Using Imperfect Surrogates for Downstream Inference: Design-based
  Supervised Learning for Social Science Applications of Large Language Models
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Naoki Egami
Musashi Jacobs-Harukawa
Brandon M Stewart
Hanying Wei
289
34
0
07 Jun 2023
TIES-Merging: Resolving Interference When Merging Models
TIES-Merging: Resolving Interference When Merging ModelsNeural Information Processing Systems (NeurIPS), 2023
Prateek Yadav
Derek Tam
Leshem Choshen
Colin Raffel
Joey Tianyi Zhou
MoMe
378
525
0
02 Jun 2023
Driving Context into Text-to-Text Privatization
Driving Context into Text-to-Text Privatization
Stefan Arnold
Dilara Yesilbas
Sven Weinzierl
219
10
0
02 Jun 2023
LAIT: Efficient Multi-Segment Encoding in Transformers with
  Layer-Adjustable Interaction
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable InteractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jeremiah Milbauer
Annie Louis
Mohammad Javad Hosseini
Alex Fabrikant
Donald Metzler
Tal Schuster
315
10
0
31 May 2023
Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained
  Static Sense Embeddings
Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained Static Sense EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Haochen Luo
Yi Zhou
Danushka Bollegala
SSL
235
1
0
30 May 2023
A Method for Studying Semantic Construal in Grammatical Constructions
  with Interpretable Contextual Embedding Spaces
A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding SpacesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Gabriella Chronis
Kyle Mahowald
K. Erk
198
14
0
29 May 2023
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark
  Datasets
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Md Tahmid Rahman Laskar
M Saiful Bari
Mizanur Rahman
Md Amran Hossen Bhuiyan
Shafiq Joty
J. Huang
LM&MAELMALM
505
215
0
29 May 2023
Fine-Tuning Language Models with Just Forward Passes
Fine-Tuning Language Models with Just Forward PassesNeural Information Processing Systems (NeurIPS), 2023
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
529
311
0
27 May 2023
Parameter-Efficient Fine-Tuning without Introducing New Latency
Parameter-Efficient Fine-Tuning without Introducing New LatencyAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Baohao Liao
Yan Meng
Christof Monz
140
69
0
26 May 2023
TADA: Task-Agnostic Dialect Adapters for English
TADA: Task-Agnostic Dialect Adapters for EnglishAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
William B. Held
Caleb Ziems
Diyi Yang
184
13
0
26 May 2023
Self-Evolution Learning for Discriminative Language Model Pretraining
Self-Evolution Learning for Discriminative Language Model PretrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
210
12
0
24 May 2023
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model
  Fine-tuning
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhen-Ru Zhang
Chuanqi Tan
Haiyang Xu
Chengyu Wang
Yanjie Liang
Songfang Huang
135
53
0
24 May 2023
Universal Self-Adaptive Prompting
Universal Self-Adaptive PromptingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xingchen Wan
Ruoxi Sun
Hootan Nakhost
H. Dai
Julian Martin Eisenschlos
Sercan O. Arik
Tomas Pfister
LRM
225
13
0
24 May 2023
Adapting Language Models to Compress Contexts
Adapting Language Models to Compress ContextsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Alexis Chevalier
Alexander Wettig
Anirudh Ajith
Danqi Chen
LLMAG
279
258
0
24 May 2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
TaskWeb: Selecting Better Source Tasks for Multi-task NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Joongwon Kim
Akari Asai
Gabriel Ilharco
Hannaneh Hajishirzi
265
13
0
22 May 2023
DUMB: A Benchmark for Smart Evaluation of Dutch Models
DUMB: A Benchmark for Smart Evaluation of Dutch Models
Wietse de Vries
Martijn B. Wieling
Malvina Nissim
ELMALMMoE
240
8
0
22 May 2023
Automated Few-shot Classification with Instruction-Finetuned Language
  Models
Automated Few-shot Classification with Instruction-Finetuned Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Rami Aly
Xingjian Shi
Kaixiang Lin
Aston Zhang
A. Wilson
272
11
0
21 May 2023
Solving Cosine Similarity Underestimation between High Frequency Words
  by L2 Norm Discounting
Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm DiscountingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Saeth Wannasuphoprasit
Yi Zhou
Danushka Bollegala
183
7
0
17 May 2023
Towards More Robust NLP System Evaluation: Handling Missing Scores in
  Benchmarks
Towards More Robust NLP System Evaluation: Handling Missing Scores in BenchmarksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Anas Himmi
Ekhine Irurozki
Nathan Noiry
Nathan Huet
Pierre Colombo
341
11
0
17 May 2023
What's the Meaning of Superhuman Performance in Today's NLU?
What's the Meaning of Superhuman Performance in Today's NLU?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Simone Tedeschi
Johan Bos
T. Declerck
Jan Hajic
Daniel Hershcovich
...
Simon Krek
Steven Schockaert
Rico Sennrich
Ekaterina Shutova
Roberto Navigli
ELMLM&MAVLMReLMLRM
312
37
0
15 May 2023
Residual Prompt Tuning: Improving Prompt Tuning with Residual
  Reparameterization
Residual Prompt Tuning: Improving Prompt Tuning with Residual ReparameterizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Anastasia Razdaibiedina
Yuning Mao
Rui Hou
Madian Khabsa
M. Lewis
Jimmy Ba
Amjad Almahairi
VLM
172
72
0
06 May 2023
Neuromodulation Gated Transformer
Neuromodulation Gated Transformer
Kobe Knowles
Joshua Bensemann
Diana Benavides-Prado
Vithya Yogarajan
Michael Witbrock
Gillian Dobbie
Yang Chen
186
0
0
05 May 2023
PTP: Boosting Stability and Performance of Prompt Tuning with
  Perturbation-Based Regularizer
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based RegularizerConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Lichang Chen
Heng-Chiao Huang
Varun Madhavan
AAML
272
12
0
03 May 2023
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation
  Incorporating Gloss Information
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss InformationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Sunjae Kwon
Rishabh Garodia
Linghe Wang
Zhichao Yang
Hong-ye Yu
CoGe
391
6
0
02 May 2023
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale
  Instructions
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale InstructionsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Minghao Wu
Abdul Waheed
Chiyu Zhang
Muhammad Abdul-Mageed
Alham Fikri Aji
ALM
473
149
0
27 Apr 2023
ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time
ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time
Shangqing Tu
Chunyang Li
Jifan Yu
Xiaozhi Wang
Lei Hou
Juanzi Li
LLMAGAI4MH
253
10
0
27 Apr 2023
Translate to Disambiguate: Zero-shot Multilingual Word Sense
  Disambiguation with Pretrained Language Models
Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Haoqiang Kang
Terra Blevins
Luke Zettlemoyer
140
2
0
26 Apr 2023
Semantic Specialization for Knowledge-based Word Sense Disambiguation
Semantic Specialization for Knowledge-based Word Sense DisambiguationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Sakae Mizuki
Naoaki Okazaki
195
1
0
22 Apr 2023
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Bohan Li
Longxu Dou
Yutai Hou
Yunlong Feng
Honglin Mu
Qingfu Zhu
Qinghua Sun
Wanxiang Che
VLM
189
5
0
19 Apr 2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A
  Comprehensive Study
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive StudyConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Wei Ping
Ming-Yu Liu
Peng Xu
Lawrence C. McAfee
Zihan Liu
...
Oleksii Kuchaiev
Yue Liu
Chaowei Xiao
Anima Anandkumar
Bryan Catanzaro
RALM
384
77
0
13 Apr 2023
Computational modeling of semantic change
Computational modeling of semantic changeConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Nina Tahmasebi
Haim Dubossarsky
293
7
0
13 Apr 2023
Can Large Language Models Transform Computational Social Science?
Can Large Language Models Transform Computational Social Science?International Conference on Computational Logic (ICCL), 2023
Caleb Ziems
William B. Held
Omar Shaikh
Jiaao Chen
Zhehao Zhang
Diyi Yang
LLMAG
489
432
0
12 Apr 2023
A Survey on Contextualised Semantic Shift Detection
A Survey on Contextualised Semantic Shift DetectionACM Computing Surveys (ACM Comput. Surv.), 2023
S. Montanelli
Francesco Periti
ObjDAI4TS
225
46
0
04 Apr 2023
BloombergGPT: A Large Language Model for Finance
BloombergGPT: A Large Language Model for Finance
Shijie Wu
Ozan Irsoy
Steven Lu
Vadim Dabravolski
Mark Dredze
Sebastian Gehrmann
P. Kambadur
David S. Rosenberg
Gideon Mann
AIFin
685
1,157
0
30 Mar 2023
AnnoLLM: Making Large Language Models to Be Better Crowdsourced
  Annotators
AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Xingwei He
Zheng-Wen Lin
Yeyun Gong
Alex Jin
Hang Zhang
Chen Lin
Jian Jiao
Siu-Ming Yiu
Nan Duan
Weizhu Chen
312
239
0
29 Mar 2023
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization
  for Few-shot Generalization
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot GeneralizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kaihang Pan
Juncheng Billy Li
Hongye Song
Jun Lin
Xiaozhong Liu
Siliang Tang
OffRL
249
16
0
22 Mar 2023
Trained on 100 million words and still in shape: BERT meets British
  National Corpus
Trained on 100 million words and still in shape: BERT meets British National CorpusFindings (Findings), 2023
David Samuel
Andrey Kutuzov
Lilja Øvrelid
Erik Velldal
347
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17 Mar 2023
Consistency Analysis of ChatGPT
Consistency Analysis of ChatGPTConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Myeongjun Jang
Thomas Lukasiewicz
261
65
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Dynamic Prompting: A Unified Framework for Prompt Tuning
Dynamic Prompting: A Unified Framework for Prompt Tuning
Xianjun Yang
Wei Cheng
Xujiang Zhao
Wenchao Yu
Linda R. Petzold
Haifeng Chen
VLM
323
20
0
06 Mar 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Multitask Prompt Tuning Enables Parameter-Efficient Transfer LearningInternational Conference on Learning Representations (ICLR), 2023
Zhen Wang
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Huan Sun
Yoon Kim
VLMVPVLM
224
151
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06 Mar 2023
ChatGPT: Jack of all trades, master of none
ChatGPT: Jack of all trades, master of noneInformation Fusion (Inf. Fusion), 2023
Jan Kocoñ
Igor Cichecki
Oliwier Kaszyca
Mateusz Kochanek
Dominika Szydło
...
Maciej Piasecki
Lukasz Radliñski
Konrad Wojtasik
Stanislaw Wo'zniak
Przemyslaw Kazienko
AI4MH
531
689
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21 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Chengwei Qin
Cunliang Kong
Ruochen Zhao
Shafiq Joty
VLMLRM
373
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16 Feb 2023
Symbolic Discovery of Optimization Algorithms
Symbolic Discovery of Optimization AlgorithmsNeural Information Processing Systems (NeurIPS), 2023
Xiangning Chen
Chen Liang
Da Huang
Esteban Real
Kaiyuan Wang
...
Xuanyi Dong
Thang Luong
Cho-Jui Hsieh
Yifeng Lu
Quoc V. Le
797
517
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In-Context Learning with Many Demonstration Examples
In-Context Learning with Many Demonstration Examples
Mukai Li
Shansan Gong
Jiangtao Feng
Yiheng Xu
Jinchao Zhang
Zhiyong Wu
Lingpeng Kong
268
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09 Feb 2023
Knowledge is a Region in Weight Space for Fine-tuned Language Models
Knowledge is a Region in Weight Space for Fine-tuned Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Almog Gueta
Elad Venezian
Colin Raffel
Noam Slonim
Yoav Katz
Leshem Choshen
315
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09 Feb 2023
Exploring the Benefits of Training Expert Language Models over
  Instruction Tuning
Exploring the Benefits of Training Expert Language Models over Instruction TuningInternational Conference on Machine Learning (ICML), 2023
Joel Jang
Seungone Kim
Seonghyeon Ye
Doyoung Kim
Lajanugen Logeswaran
Moontae Lee
Kyungjae Lee
Minjoon Seo
LRMALM
466
93
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Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary
  Data
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Alon Albalak
Colin Raffel
William Yang Wang
306
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A Stability Analysis of Fine-Tuning a Pre-Trained Model
A Stability Analysis of Fine-Tuning a Pre-Trained Model
Z. Fu
Anthony Man-Cho So
Nigel Collier
200
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ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic
  Distillation Generalization
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization
Weixin Liu
Xuyi Chen
Jiaxiang Liu
Shi Feng
Yu Sun
Hao Tian
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245
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SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning
M Saiful Bari
Aston Zhang
Shuai Zheng
Xingjian Shi
Yi Zhu
Shafiq Joty
Mu Li
RALMVLMVPVLMLRM
198
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