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1LMSys Chatbot Arena Leaderboard - a Hugging Face Space by lmsys
https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard
9 months ago by @hotho
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leader
large
language
bot
chat
modell
model
llm
board
leaderlargelanguagebotchatmodellmodelllmboard
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1ACL 2023 Tutorial: Retrieval-based LMs and Applications
Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.
a year ago by @jaeschke
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retrieval
language
ir
tutorial
model
information
llm
retrievallanguageirtutorialmodelinformationllm
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1Gopher and RETRO Prove Lean Language Models Can Push Boundaries
https://www.deeplearning.ai/the-batch/large-language-models-shrink/?utm_campaign=The%20Batch&utm_medium=email&_hsmi=240401361&_hsenc=p2ANqtz-8xSUusSBIkSJlMHiucL2H3K9ukcSqlS-6aE-4TxPD5Bh1ElshDiBx1Vs-ROguVWC1JTS-wlfpgjJtgeuN18dgvmvEbtA&utm_content=240401361&utm_source=hs_email
2 years ago by @becker
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shrink
large
language
data
skrinking
less
model
themis
shrinklargelanguagedataskrinkinglessmodelthemis
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1Democratizing access to large-scale language models with OPT-175B
https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/
3 years ago by @hotho
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LM
deep
Literaturverwaltung
language
learning
model
big
LMdeepLiteraturverwaltunglanguagelearningmodelbig
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1BigScience Research Workshop
https://bigscience.huggingface.co/
3 years ago by @hotho
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lm
science
lingual
language
model
big
multi
research
lmsciencelinguallanguagemodelbigmultiresearch
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1Must-read Papers on pre-trained language models
https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/
4 years ago by @hotho
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deep
language
pre-trained
elmo
learning
bert
model
ml
deeplanguagepre-trainedelmolearningbertmodelml
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1Talk to Transformer
https://talktotransformer.com
5 years ago by @hotho
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language
*****
application
model
language*****applicationmodel
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2edobashira/speech-language-processing: A curated list of speech and natural language processing resources
speech-language-processing - A curated list of speech and natural language processing resources
7 years ago by @hotho
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overview
nlp
language
speech
recognition
model
tools
ml
overviewnlplanguagespeechrecognitionmodeltoolsml
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2Neural Probabilistic Language Model Toolkit
http://nlg.isi.edu/software/nplm/
10 years ago by @nosebrain
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language
toolkit
probabilistic
neutral
model
languagetoolkitprobabilisticneutralmodel
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3Are Emergent Abilities in Large Language Models just In-Context Learning?
S. Lu, I. Bigoulaeva, R. Sachdeva, H. Madabushi, and I. Gurevych. (2024)
3 months ago by @jaeschke
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artificial
large
neural
language
ai
model
network
llm
intelligence
artificiallargeneurallanguageaimodelnetworkllmintelligence
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1Shortcut Learning of Large Language Models in Natural Language Understanding
M. Du, F. He, N. Zou, D. Tao, and X. Hu. Communications of the ACM, 67 (1): 110--120 (Dec 21, 2023)
8 months ago by @jaeschke
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nlp
shortcut
language
learning
model
llm
plk
nlpshortcutlanguagelearningmodelllmplk
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2GreaseLM: Graph REASoning Enhanced Language Models
X. Zhang, A. Bosselut, M. Yasunaga, H. Ren, P. Liang, C. Manning, and J. Leskovec. International Conference on Learning Representations, (2021)
3 years ago by @becker
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nlp
toread
reasoning
neural
language
model
knowledge
network
jure
graph
nlptoreadreasoningneurallanguagemodelknowledgenetworkjuregraph
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1Chain of Thought Prompting Elicits Reasoning in Large Language Models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, E. Chi, Q. Le, and D. Zhou. (2022)cite arxiv:2201.11903.
3 years ago by @becker
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nlp
reasoning
large
neural
language
prompting
google
model
network
nn
nlpreasoninglargeneurallanguagepromptinggooglemodelnetworknn
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11RoBERTa: A Robustly Optimized BERT Pretraining Approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov. (2019)
4 years ago by @nosebrain
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language
roberta
model
languagerobertamodel
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4Which *BERT? A Survey Organizing Contextualized Encoders
P. Xia, S. Wu, and B. Van Durme. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 7516--7533. Association for Computational Linguistics, (November 2020)
4 years ago by @jaeschke
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nlp
dnn
deep
neural
language
learning
bert
model
network
nlpdnndeepneurallanguagelearningbertmodelnetwork
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6LM4KG: Improving Common Sense Knowledge Graphs with Language Models
J. Omeliyanenko, A. Zehe, L. Hettinger, and A. Hotho. The Semantic Web -- ISWC 2020, page 456--473. Cham, Springer International Publishing, (2020)
4 years ago by @hotho
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lm
nlp
myown
semantic
language
model
kg
2020
knowledge
graph
selected
lmnlpmyownsemanticlanguagemodelkg2020knowledgegraphselected
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3Pre-Training Transformers as Energy-Based Cloze Models.
K. Clark, M. Luong, Q. Le, and C. Manning. EMNLP (1), page 285-294. Association for Computational Linguistics, (2020)
4 years ago by @nosebrain
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cloze
language
pertaining
transformer
model
clozelanguagepertainingtransformermodel
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3CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Z. Feng, D. Guo, D. Tang, N. Duan, X. Feng, M. Gong, L. Shou, B. Qin, T. Liu, D. Jiang and 1 other author(s). (2020)cite arxiv:2002.08155Comment: Accepted to Findings of EMNLP 2020. 12 pages.
4 years ago by @jaeschke
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code
dnn
github
deep
natural
neural
language
learning
bert
network
nlp
machine
processing
model
nn
programming
codednngithubdeepnaturalneurallanguagelearningbertnetworknlpmachineprocessingmodelnnprogramming
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2Language Models are Open Knowledge Graphs
C. Wang, X. Liu, and D. Song. (2020)cite arxiv:2010.11967Comment: 30 pages, 32 figures, 3 tables.
4 years ago by @hotho
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FG
read
language
to
model
KG
FGreadlanguagetomodelKG
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3Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
J. Dodge, G. Ilharco, R. Schwartz, A. Farhadi, H. Hajishirzi, and N. Smith. (2020)cite arxiv:2002.06305.
4 years ago by @nosebrain
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random
finetune
seed
language
Bert
model
randomfinetuneseedlanguageBertmodel
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2Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
S. Gururangan, A. Marasović, S. Swayamdipta, K. Lo, I. Beltagy, D. Downey, and N. Smith. (2020)cite arxiv:2004.10964Comment: ACL 2020.
4 years ago by @jaeschke
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nlp
domain
deeplearning
deep
language
machine
adaptation
learning
training
model
pretraining
nlpdomaindeeplearningdeeplanguagemachineadaptationlearningtrainingmodelpretraining
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10Language Models are Few-Shot Learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell and 21 other author(s). (2020)cite arxiv:2005.14165Comment: 40+32 pages.
4 years ago by @parismic
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language
few
learning
gpt
model
shot
languagefewlearninggptmodelshot
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7ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
K. Clark, M. Luong, Q. Le, and C. Manning. International Conference on Learning Representations, (2020)
4 years ago by @nosebrain
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electra
language
generator
discriminator
text
encoder
model
electralanguagegeneratordiscriminatortextencodermodel
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2Plug and Play Language Models: A Simple Approach to Controlled Text Generation
S. Dathathri, A. Madotto, J. Lan, J. Hung, E. Frank, P. Molino, J. Yosinski, and R. Liu. (2019)cite arxiv:1912.02164Comment: ICLR 2020 camera ready.
5 years ago by @nosebrain
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controlled
language
play
plug
text
model
generation
controlledlanguageplayplugtextmodelgeneration
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4COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
A. Bosselut, H. Rashkin, M. Sap, C. Malaviya, A. Celikyilmaz, and Y. Choi. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, page 4762--4779. Florence, Italy, Association for Computational Linguistics, (July 2019)
5 years ago by @nosebrain
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language
comet
model
knowledge
graph
languagecometmodelknowledgegraph
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1NCBI disease corpus: A resource for disease name recognition and concept normalization
R. Doğan, R. Leaman, and Z. Lu. Journal of Biomedical Informatics, (2014)
5 years ago by @nosebrain
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dataset
disease
language
corpus
test
ncbi
model
ner
datasetdiseaselanguagecorpustestncbimodelner
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6ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Z. Lan, M. Chen, S. Goodman, K. Gimpel, P. Sharma, and R. Soricut. (2019)cite arxiv:1909.11942.
5 years ago by @nosebrain
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Albert
language
learning
bert
model
Albertlanguagelearningbertmodel
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3Do Massively Pretrained Language Models Make Better Storytellers?
A. See, A. Pappu, R. Saxena, A. Yerukola, and C. Manning. (2019)cite arxiv:1909.10705Comment: Accepted to CoNLL 2019.
5 years ago by @hotho
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toread
kallimachos
language
model
toreadkallimachoslanguagemodel
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2Analogies Explained: Towards Understanding Word Embeddings
C. Allen, and T. Hospedales. (2019)cite arxiv:1901.09813.
6 years ago by @hotho
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toread
language
word2vec
model
understanding
explained
toreadlanguageword2vecmodelunderstandingexplained
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BibSonomy

bookmarks (hide)9
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1LMSys Chatbot Arena Leaderboard - a Hugging Face Space by lmsys

1ACL 2023 Tutorial: Retrieval-based LMs and Applications

1Gopher and RETRO Prove Lean Language Models Can Push Boundaries

1Democratizing access to large-scale language models with OPT-175B

1BigScience Research Workshop

1Must-read Papers on pre-trained language models

1Talk to Transformer

2edobashira/speech-language-processing: A curated list of speech and natural language processing resources

2Neural Probabilistic Language Model Toolkit

publications (hide)24
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3Are Emergent Abilities in Large Language Models just In-Context Learning?

1Shortcut Learning of Large Language Models in Natural Language Understanding

2GreaseLM: Graph REASoning Enhanced Language Models

1Chain of Thought Prompting Elicits Reasoning in Large Language Models

11RoBERTa: A Robustly Optimized BERT Pretraining Approach

4Which *BERT? A Survey Organizing Contextualized Encoders

6LM4KG: Improving Common Sense Knowledge Graphs with Language Models

3Pre-Training Transformers as Energy-Based Cloze Models.

3CodeBERT: A Pre-Trained Model for Programming and Natural Languages

2Language Models are Open Knowledge Graphs

3Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

2Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

10Language Models are Few-Shot Learners

7ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

2Plug and Play Language Models: A Simple Approach to Controlled Text Generation

4COMET: Commonsense Transformers for Automatic Knowledge Graph Construction

1NCBI disease corpus: A resource for disease name recognition and concept normalization

6ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

3Do Massively Pretrained Language Models Make Better Storytellers?

2Analogies Explained: Towards Understanding Word Embeddings

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