ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models | Paper Citation Record

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This paper cites Unilmv2: Pseudo-masked language models for unified language model pre-training.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Unilmv2: Pseudo-masked language models for unified language model pre-training

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models BEiT: BERT Pre-Training of Image Transformers

Reference 2

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models The fifth pascal recognizing textual entailment challenge

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This paper cites Semeval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Semeval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation

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This paper cites ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Reference 5

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This paper cites ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models The pascal recognising textual entailment challenge

Reference 7

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This paper cites "Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models "Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction

Reference 8

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Unresolved cited work

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Unified language model pre-training for natural language understanding and generation

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 12

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Prottrans: Toward understanding the language of life through self-supervised learning

Reference 13

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This paper cites A bioactivity foundation model using pairwise meta-learning.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models A bioactivity foundation model using pairwise meta-learning

Reference 14

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This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Contextual Representation Learning beyond Masked Language Modeling

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This paper cites The third pascal recognizing textual entailment challenge.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models The third pascal recognizing textual entailment challenge

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This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

Reference 18

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This paper cites Non-Autoregressive Neural Machine Translation.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Non-Autoregressive Neural Machine Translation

Reference 19

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 20

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models B., Dagan, I., Dolan, B., Ferro, L., Giampiccolo, D., Magnini, B., and Szpektor, I

Reference 21

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models J., Oktay, D., Lin, Z., Verkuil, R., Tran, V

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Masked autoencoders are scalable vision learners

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 24

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Long short-term memory

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models A decoding algorithm for length-control summarization based on directed acyclic transformers

Reference 28

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Directed acyclic transformer for non-autoregressive machine translation

Reference 29

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Directed acyclic transformer pre-training for high-quality non-autoregressive text generation

Reference 30

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Scaling Sentence Embeddings with Large Language Models

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models S., Zettlemoyer, L., and Levy, O

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Rethinking Positional Encoding in Language Pre-training

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Adam: A Method for Stochastic Optimization

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models and Li, J

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Language models of protein sequences at the scale of evolution enable accurate structure prediction

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Evolutionary-scale prediction of atomic-level protein structure with a language model

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models F., and Liang, Y

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Pre-training Molecular Graph Representation with 3D Geometry

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Representation Deficiency in Masked Language Modeling

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Warped language models for noise robust language understanding

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Large language model for molecular chemistry

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 47

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models E., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., and Zettlemoyer, L

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Know what you don’t know: Unanswerable questions for SQuAD

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Representation learning with large language models for recommendation

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Self-supervised graph transformer on large-scale molecular data

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Large-scale chemical language representations capture molecular structure and properties

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Non-autoregressive machine translation with latent alignments

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models found in translation

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models First Quora dataset release: Question pairs, 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:33.053916Z

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Observation 3633d59e-91a2-4a88-8fd1-a322f3a07243 · outbound

This paper cites Viterbi decoding of directed acyclic transformer for non-autoregressive machine translation.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Viterbi decoding of directed acyclic transformer for non-autoregressive machine translation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:33.037663Z

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Observation fbfb09a0-5a2c-4b51-8482-3fde771becc7 · outbound

This paper cites Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:17:32.463576Z

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This paper cites D., Ng, A.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models D., Ng, A

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:33.024343Z

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This paper cites Repetition Improves Language Model Embeddings.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Repetition Improves Language Model Embeddings

Reference 59

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models a rk, H., Beaini, D., Corso, G., Tossou, P., Dallago, C., G \

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:33.012331Z

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This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 61

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This paper cites Saprot: Protein language modeling with structure-aware vocabulary.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Saprot: Protein language modeling with structure-aware vocabulary

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:32.153301Z

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This paper cites V., Xiao, L., Chopra, A., Chaffin, M.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models V., Xiao, L., Chopra, A., Chaffin, M

Reference 63

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 64

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Observation ffd11c12-d2fd-443e-b9e4-d98da7393543 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models N., Kaiser, ., and Polosukhin, I

Reference 65

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Reference 66

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This paper cites Improving Text Embeddings with Large Language Models.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Improving Text Embeddings with Large Language Models

Reference 67

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Bevt: Bert pretraining of video transformers

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.957024Z

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This paper cites Smiles-bert: large scale unsupervised pre-training for molecular property prediction.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Smiles-bert: large scale unsupervised pre-training for molecular property prediction

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.944950Z

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This paper cites Diffusion Language Models Are Versatile Protein Learners.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Diffusion Language Models Are Versatile Protein Learners

Reference 70

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models DPLM-2: A Multimodal Diffusion Protein Language Model

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:32.189714Z

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Reference 72

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Smiles, a chemical language and information system

Reference 73

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This paper cites Should You Mask 15% in Masked Language Modeling?.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Should You Mask 15% in Masked Language Modeling?

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:32.202543Z

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This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models A broad-coverage challenge corpus for sentence understanding through inference

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.909620Z

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Observation 57f2ce21-ac47-4c99-819a-a88f58a9a8dd · outbound

This paper cites N., Gomes, J., Geniesse, C., Pappu, A.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models N., Gomes, J., Geniesse, C., Pappu, A

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.897244Z

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Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:17:32.885823Z

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Simmim: A simple framework for masked image modeling

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.874260Z

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This paper cites Pushing the boundaries of molecular representation for drug discovery with the graph attention mechanism.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Pushing the boundaries of molecular representation for drug discovery with the graph attention mechanism

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.862517Z

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Observation a73cb776-ed42-424e-8c1f-f70bfa0b4ff8 · outbound

This paper cites scbert as a large-scale pretrained deep language model for cell type annotation of single-cell rna-seq data.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models scbert as a large-scale pretrained deep language model for cell type annotation of single-cell rna-seq data

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.849088Z

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Observation 57c9f3cf-c513-4839-94e4-b3045f52b18c · outbound

This paper cites Mol-ae: Auto-encoder based molecular representation learning with 3d cloze test objective.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Mol-ae: Auto-encoder based molecular representation learning with 3d cloze test objective

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.833597Z

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Observation d65c921a-5d4d-499e-98d5-9fd795b5262c · outbound

This paper cites Analyzing learned molecular representations for property prediction.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Analyzing learned molecular representations for property prediction

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.816442Z

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This paper cites Spelling Error Correction with Soft-Masked BERT.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Spelling Error Correction with Soft-Masked BERT

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:32.237061Z

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ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Towards a unified training for levenshtein transformer

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.804123Z

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Observation a1a1894e-8875-4902-b2e6-66393a9de2c7 · outbound

This paper cites SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:17:32.364579Z

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Observation 85049962-b38d-4058-9adb-3afd86cd84dd · outbound

This paper cites Esm all-atom: Multi-scale protein language model for unified molecular modeling.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Esm all-atom: Multi-scale protein language model for unified molecular modeling

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.792220Z

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Observation a861a9e3-8806-418b-853d-92b8a42ef65d · outbound

This paper cites Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:32.252620Z

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Observation 29d68c9d-1b61-498d-a00e-39d5749a899b · outbound

This paper cites Revisiting Token Dropping Strategy in Efficient BERT Pretraining.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Revisiting Token Dropping Strategy in Efficient BERT Pretraining

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:17:32.334782Z

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Observation 4b8e1b01-b072-44fb-802f-fa7f4d789c5d · outbound

This paper cites Uni-mol: A universal 3d molecular representation learning framework.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models Uni-mol: A universal 3d molecular representation learning framework

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:32.778561Z

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Observation c58d9ab9-2ebb-41ad-b8ff-8fec8cd5ced2 · outbound

This paper cites write newline.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models write newline

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T16:17:32.264116Z

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