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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
AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of
  Low-Rank Adaptation Experts
AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts
Zefang Liu
Jiahua Luo
MoEKELM
343
24
0
01 May 2024
Does Instruction Tuning Make LLMs More Consistent?
Does Instruction Tuning Make LLMs More Consistent?
Constanza Fierro
Jiaang Li
Anders Sogaard
LRM
291
2
0
23 Apr 2024
Evaluating Subword Tokenization: Alien Subword Composition and OOV
  Generalization Challenge
Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge
Khuyagbaatar Batsuren
Ekaterina Vylomova
Verna Dankers
Tsetsuukhei Delgerbaatar
Omri Uzan
Yuval Pinter
Gábor Bella
182
16
0
20 Apr 2024
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for
  the Neural Processing of Portuguese
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese
T. Osório
Bernardo Leite
Henrique Lopes Cardoso
Luís Gomes
João Rodrigues
Rodrigo Santos
António Branco
349
5
0
08 Apr 2024
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks
Dominik Schlechtweg
S. Virk
Nikolay Arefyev
296
4
0
29 Mar 2024
Large Language Models as Financial Data Annotators: A Study on
  Effectiveness and Efficiency
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
Toyin Aguda
S. Siddagangappa
Elena Kochkina
Simerjot Kaur
Dongsheng Wang
Charese Smiley
Sameena Shah
252
23
0
26 Mar 2024
Concept-aware Data Construction Improves In-context Learning of Language
  Models
Concept-aware Data Construction Improves In-context Learning of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Michal Štefánik
Marek Kadlcík
Petr Sojka
268
2
0
08 Mar 2024
Many-Objective Multi-Solution Transport
Many-Objective Multi-Solution Transport
Ziyue Li
Tian Li
Virginia Smith
Jeff Bilmes
Wanrong Zhu
166
5
0
06 Mar 2024
Detection of Non-recorded Word Senses in English and Swedish
Detection of Non-recorded Word Senses in English and Swedish
Jonathan Lautenschlager
Emma Sköldberg
Simon Hengchen
Dominik Schlechtweg
261
4
0
04 Mar 2024
Fantastic Semantics and Where to Find Them: Investigating Which Layers
  of Generative LLMs Reflect Lexical Semantics
Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics
Zhu Liu
Cunliang Kong
Ying Liu
Maosong Sun
241
32
0
03 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
315
8
0
01 Mar 2024
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM
  Fine-Tuning
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
Yong Liu
Zirui Zhu
Chaoyu Gong
Minhao Cheng
Cho-Jui Hsieh
Yang You
MoE
244
36
0
24 Feb 2024
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables
  Parameter-Efficient Transfer Learning
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
Zhisheng Lin
Han Fu
Chenghao Liu
Zhuo Li
Jianling Sun
MoEMoMe
259
6
0
23 Feb 2024
Efficient and Effective Vocabulary Expansion Towards Multilingual Large
  Language Models
Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models
Seungduk Kim
Seungtaek Choi
Myeongho Jeong
252
10
0
22 Feb 2024
The Impact of Word Splitting on the Semantic Content of Contextualized
  Word Representations
The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations
Aina Garí Soler
Matthieu Labeau
Chloé Clavel
VLM
224
5
0
22 Feb 2024
HyperMoE: Towards Better Mixture of Experts via Transferring Among
  Experts
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts
Hao Zhao
Zihan Qiu
Huijia Wu
Zili Wang
Zhaofeng He
Jie Fu
MoE
464
24
0
20 Feb 2024
A Systematic Comparison of Contextualized Word Embeddings for Lexical
  Semantic Change
A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change
Francesco Periti
Nina Tahmasebi
362
26
0
19 Feb 2024
Contrastive Instruction Tuning
Contrastive Instruction Tuning
Tianyi Yan
Fei Wang
James Y. Huang
Wenxuan Zhou
Fan Yin
Aram Galstyan
Wenpeng Yin
Muhao Chen
ALM
285
10
0
17 Feb 2024
HiRE: High Recall Approximate Top-$k$ Estimation for Efficient LLM
  Inference
HiRE: High Recall Approximate Top-kkk Estimation for Efficient LLM Inference
Yashas Samaga
Varun Yerram
Chong You
Srinadh Bhojanapalli
Sanjiv Kumar
Prateek Jain
Praneeth Netrapalli
184
7
0
14 Feb 2024
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
Haeju Lee
Minchan Jeong
SeYoung Yun
Kee-Eung Kim
AAMLVPVLM
224
4
0
13 Feb 2024
Injecting Wiktionary to improve token-level contextual representations
  using contrastive learning
Injecting Wiktionary to improve token-level contextual representations using contrastive learning
Anna Mosolova
Marie Candito
Carlos Ramisch
183
1
0
12 Feb 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
HiFT: A Hierarchical Full Parameter Fine-Tuning StrategyConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yongkang Liu
Yiqun Zhang
Qian Li
Tong Liu
Shi Feng
Daling Wang
Yifei Zhang
Hinrich Schütze
303
14
0
26 Jan 2024
(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detection
(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detection
Francesco Periti
Haim Dubossarsky
Nina Tahmasebi
AI4MH
290
15
0
25 Jan 2024
Instructional Fingerprinting of Large Language Models
Instructional Fingerprinting of Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Lyne Tchapmi
Fei Wang
Mingyu Derek Ma
Pang Wei Koh
Chaowei Xiao
Muhao Chen
WaLM
278
58
0
21 Jan 2024
Task Contamination: Language Models May Not Be Few-Shot Anymore
Task Contamination: Language Models May Not Be Few-Shot Anymore
Changmao Li
Jeffrey Flanigan
375
129
0
26 Dec 2023
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets
Dirk Groeneveld
Anas Awadalla
Iz Beltagy
Akshita Bhagia
Ian H. Magnusson
Hao Peng
Oyvind Tafjord
Pete Walsh
Kyle Richardson
Jesse Dodge
268
2
0
15 Dec 2023
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak
  Supervision
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionInternational Conference on Machine Learning (ICML), 2023
Collin Burns
Pavel Izmailov
Jan Hendrik Kirchner
Bowen Baker
Leo Gao
...
Adrien Ecoffet
Manas Joglekar
Jan Leike
Ilya Sutskever
Jeff Wu
ELM
367
387
0
14 Dec 2023
Labels Need Prompts Too: Mask Matching for Natural Language
  Understanding Tasks
Labels Need Prompts Too: Mask Matching for Natural Language Understanding TasksAAAI Conference on Artificial Intelligence (AAAI), 2023
Bo Li
Wei Ye
Quan-ding Wang
Wen Zhao
Shikun Zhang
VLM
318
4
0
14 Dec 2023
How Many Validation Labels Do You Need? Exploring the Design Space of
  Label-Efficient Model Ranking
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking
Zhengyu Hu
Jieyu Zhang
Yue Yu
Yuchen Zhuang
Hui Xiong
411
7
0
04 Dec 2023
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
Prateek Yadav
Leshem Choshen
Colin Raffel
Mohit Bansal
240
18
0
22 Nov 2023
The DURel Annotation Tool: Human and Computational Measurement of
  Semantic Proximity, Sense Clusters and Semantic Change
The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic ChangeConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Dominik Schlechtweg
S. Virk
Pauline Sander
Emma Sköldberg
Lukas Theuer Linke
Tuo Zhang
Nina Tahmasebi
Jonas Kuhn
Sabine Schulte im Walde
197
11
0
21 Nov 2023
Task-Agnostic Low-Rank Adapters for Unseen English Dialects
Task-Agnostic Low-Rank Adapters for Unseen English DialectsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zedian Xiao
William B. Held
Yanchen Liu
Diyi Yang
258
11
0
02 Nov 2023
Text Rendering Strategies for Pixel Language Models
Text Rendering Strategies for Pixel Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jonas F. Lotz
Elizabeth Salesky
Phillip Rust
Desmond Elliott
VLM
342
16
0
01 Nov 2023
TarGEN: Targeted Data Generation with Large Language Models
TarGEN: Targeted Data Generation with Large Language Models
Himanshu Gupta
Kevin Scaria
Ujjwala Anantheswaran
Shreyas Verma
Mihir Parmar
Saurabh Arjun Sawant
Chitta Baral
Swaroop Mishra
SyDa
281
15
0
27 Oct 2023
Understanding the Role of Input Token Characters in Language Models: How
  Does Information Loss Affect Performance?
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ahmed Alajrami
Katerina Margatina
Nikolaos Aletras
AAML
144
3
0
26 Oct 2023
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme
  Large Language Model Compression
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model CompressionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jiduan Liu
Jiahao Liu
Qifan Wang
Jingang Wang
Xunliang Cai
Dongyan Zhao
Ran Wang
Rui Yan
221
6
0
24 Oct 2023
DoGE: Domain Reweighting with Generalization Estimation
DoGE: Domain Reweighting with Generalization EstimationInternational Conference on Machine Learning (ICML), 2023
Simin Fan
Matteo Pagliardini
Martin Jaggi
274
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23 Oct 2023
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
Prototype-based HyperAdapter for Sample-Efficient Multi-task TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hao Zhao
Jie Fu
Zhaofeng He
398
8
0
18 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
254
8
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 SwappingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Taichi Aida
Danushka Bollegala
224
5
0
16 Oct 2023
Tokenizer Choice For LLM Training: Negligible or Crucial?
Tokenizer Choice For LLM Training: Negligible or Crucial?
Mehdi Ali
Michael Fromm
Klaudia Thellmann
Richard Rutmann
Max Lübbering
...
Malte Ostendorff
Samuel Weinbach
R. Sifa
Stefan Kesselheim
Nicolas Flores-Herr
566
105
0
12 Oct 2023
Breaking Down Word Semantics from Pre-trained Language Models through
  Layer-wise Dimension Selection
Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection
Nayoung Choi
114
0
0
08 Oct 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and
  Prompt Engineering
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt EngineeringInternational Conference on Learning Representations (ICLR), 2023
Han Zhou
Xingchen Wan
Lev Proleev
Diana Mincu
Jilin Chen
Katherine A. Heller
Subhrajit Roy
UQLM
372
81
0
29 Sep 2023
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuningInternational Conference on Learning Representations (ICLR), 2023
Zhengxiang Shi
Aldo Lipani
VLM
528
41
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11 Sep 2023
HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models
HAE-RAE Bench: Evaluation of Korean Knowledge in Language ModelsInternational Conference on Language Resources and Evaluation (LREC), 2023
Seunghyeok Hong
Hanwool Albert Lee
Suwan Kim
Huiseo Kim
Jaecheol Lee
Je Won Yeom
Jihyu Jung
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Songseong Kim
RALMELM
430
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06 Sep 2023
Metacognitive Prompting Improves Understanding in Large Language Models
Metacognitive Prompting Improves Understanding in Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Yuqing Wang
Yun Zhao
ReLMLRM
331
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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
280
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3D-EX : A Unified Dataset of Definitions and Dictionary Examples
3D-EX : A Unified Dataset of Definitions and Dictionary ExamplesRecent Advances in Natural Language Processing (RANLP), 2023
F. Almeman
Hadi Sheikhi
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258
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Unimodal Intermediate Training for Multimodal Meme Sentiment
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Unimodal Intermediate Training for Multimodal Meme Sentiment ClassificationRecent Advances in Natural Language Processing (RANLP), 2023
Muzhaffar Hazman
Susan Mckeever
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215
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Full Parameter Fine-tuning for Large Language Models with Limited
  Resources
Full Parameter Fine-tuning for Large Language Models with Limited ResourcesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Kai Lv
Yuqing Yang
Tengxiao Liu
Qi-jie Gao
Qipeng Guo
Xipeng Qiu
331
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