Paper Citation Record · LEDGER

Theoretical Benefit and Limitation of Diffusion Language Model

As of 20 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 10 inbound Pith citation observations for arXiv:2502.09622.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.09622 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:56:23.416767Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:07.986871Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T09:11:10.008464Z

Reference resolution

71 of 71 outbound references displayed

verified exact3
verified fuzzy24
unresolved44
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b76e7ec-1281-4ece-9181-511376f61d84 · outbound

This paper cites write newline.

Theoretical Benefit and Limitation of Diffusion Language Model write newline

Reference 1

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Observation bd180ca2-5312-4fba-a8bc-02840e23238f · outbound

This paper cites GPT-4 Technical Report.

Theoretical Benefit and Limitation of Diffusion Language Model GPT-4 Technical Report

Reference 2

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Source-reported events for the cited work

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Observation 9997875a-79df-42c5-b806-19a900d5fe75 · outbound

This paper cites D., Ho, J., Tarlow, D., and van den Berg, R.

Theoretical Benefit and Limitation of Diffusion Language Model D., Ho, J., Tarlow, D., and van den Berg, R

Reference 3

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Observation 7abcba89-5081-4997-82b5-1c2ebaddf8fe · outbound

This paper cites Program Synthesis with Large Language Models.

Theoretical Benefit and Limitation of Diffusion Language Model Program Synthesis with Large Language Models

Reference 4

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Observation 5c0c5678-6b91-45fb-a50e-1204301e899c · outbound

This paper cites Dirichlet diffusion score model for biological sequence generation.

Theoretical Benefit and Limitation of Diffusion Language Model Dirichlet diffusion score model for biological sequence generation

Reference 5

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Observation 8ad678c9-e333-48e7-8327-e35526c2d907 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Theoretical Benefit and Limitation of Diffusion Language Model Neural Machine Translation by Jointly Learning to Align and Translate

Reference 6

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Observation bf57cf1a-42bf-4339-a452-42a5a0793855 · outbound

This paper cites F., Della Pietra, V.

Theoretical Benefit and Limitation of Diffusion Language Model F., Della Pietra, V

Reference 7

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Observation 99a3ade1-01ed-4c45-a675-b0e6669a7610 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Theoretical Benefit and Limitation of Diffusion Language Model Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 8

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Observation 4bdd7fbd-72fb-43b9-9900-3cc9996e9c76 · outbound

This paper cites D., Rainforth, T., Deligiannidis, G., and Doucet, A.

Theoretical Benefit and Limitation of Diffusion Language Model D., Rainforth, T., Deligiannidis, G., and Doucet, A

Reference 9

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Observation 89cd1267-936a-4cd3-8454-f1171013c162 · outbound

This paper cites Generative flows on discrete state-spaces: Enabling multimodal flows with applications to protein co-design.

Theoretical Benefit and Limitation of Diffusion Language Model Generative flows on discrete state-spaces: Enabling multimodal flows with applications to protein co-design

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:56:26.338149Z

Source-reported events for the cited work

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Observation 626451f0-b75b-447e-ab29-2be2722aec21 · outbound

This paper cites Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

Theoretical Benefit and Limitation of Diffusion Language Model Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 11

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Observation 5bd51ce7-1a78-4e9d-86b7-79a7392318ca · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Theoretical Benefit and Limitation of Diffusion Language Model Training Verifiers to Solve Math Word Problems

Reference 12

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Observation 5e16aef3-0e63-4404-9460-3b6f45b75975 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Theoretical Benefit and Limitation of Diffusion Language Model Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 13

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Observation 7d24be8d-a491-4826-b8d0-6d7022568ae6 · outbound

This paper cites Fisher Flow Matching for Generative Modeling over Discrete Data.

Theoretical Benefit and Limitation of Diffusion Language Model Fisher Flow Matching for Generative Modeling over Discrete Data

Reference 14

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Observation 3f79a9bf-67ab-4de9-bc8f-00e288e00bf2 · outbound

This paper cites M., Dias Tadeu, T., and Paraboni, I.

Theoretical Benefit and Limitation of Diffusion Language Model M., Dias Tadeu, T., and Paraboni, I

Reference 15

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Observation a76a5031-57cd-4398-8513-2761ae2c9a3e · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Theoretical Benefit and Limitation of Diffusion Language Model BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 16

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Observation 8a645d33-b790-466e-a40a-bf9830f069a4 · outbound

This paper cites Continuous diffusion for categorical data.

Theoretical Benefit and Limitation of Diffusion Language Model Continuous diffusion for categorical data

Reference 17

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Observation 35fe20d9-ef02-462c-ba3b-f9e8eb496d28 · outbound

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Theoretical Benefit and Limitation of Diffusion Language Model Unresolved cited work

Reference 18

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Observation 62ce9f39-a967-4c3f-acff-0f08f1319836 · outbound

This paper cites and Chiriatti, M.

Theoretical Benefit and Limitation of Diffusion Language Model and Chiriatti, M

Reference 19

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Observation 3266d654-67fd-4218-a892-b189512d113c · outbound

This paper cites Discrete Flow Matching.

Theoretical Benefit and Limitation of Diffusion Language Model Discrete Flow Matching

Reference 20

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Observation e03921ca-9b7f-4636-bb55-fbf2a1e836a6 · outbound

This paper cites Scaling Diffusion Language Models via Adaptation from Autoregressive Models.

Theoretical Benefit and Limitation of Diffusion Language Model Scaling Diffusion Language Models via Adaptation from Autoregressive Models

Reference 21

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This paper cites and Hashimoto, T.

Theoretical Benefit and Limitation of Diffusion Language Model and Hashimoto, T

Reference 22

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Observation d94360f3-3dbf-4029-babe-60e2739db3da · outbound

This paper cites Diffusionbert: Improving generative masked language models with diffusion models.

Theoretical Benefit and Limitation of Diffusion Language Model Diffusionbert: Improving generative masked language models with diffusion models

Reference 23

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Observation 79d73e62-b155-431e-8112-c7824f8a8cf1 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Theoretical Benefit and Limitation of Diffusion Language Model Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 24

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This paper cites Denoising diffusion probabilistic models.

Theoretical Benefit and Limitation of Diffusion Language Model Denoising diffusion probabilistic models

Reference 25

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Observation ad02b212-88c4-430e-8010-61dea17a81b0 · outbound

This paper cites Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?.

Theoretical Benefit and Limitation of Diffusion Language Model Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Reference 26

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Observation abf0484c-9cf1-4f44-8754-5a7a8783965d · outbound

This paper cites On the Learning of Non-Autoregressive Transformers.

Theoretical Benefit and Limitation of Diffusion Language Model On the Learning of Non-Autoregressive Transformers

Reference 27

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Observation fb9261aa-7593-4a35-bdb4-d860cd5400f2 · outbound

This paper cites L., Bahl, L.

Theoretical Benefit and Limitation of Diffusion Language Model L., Bahl, L

Reference 28

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Observation aaa8d118-04ee-4a0d-bfbe-566f4054e075 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Theoretical Benefit and Limitation of Diffusion Language Model Elucidating the design space of diffusion-based generative models

Reference 29

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Observation 73e3c32e-5a1d-46d3-b944-e5ee4a85b4b8 · outbound

This paper cites Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions.

Theoretical Benefit and Limitation of Diffusion Language Model Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

Reference 30

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This paper cites Fast inference from transformers via speculative decoding.

Theoretical Benefit and Limitation of Diffusion Language Model Fast inference from transformers via speculative decoding

Reference 31

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This paper cites Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines.

Theoretical Benefit and Limitation of Diffusion Language Model Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

Reference 32

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This paper cites Rouge: A package for automatic evaluation of summaries.

Theoretical Benefit and Limitation of Diffusion Language Model Rouge: A package for automatic evaluation of summaries

Reference 33

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This paper cites Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens.

Theoretical Benefit and Limitation of Diffusion Language Model Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

Reference 34

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This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.

Theoretical Benefit and Limitation of Diffusion Language Model Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 35

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Observation e6c3ef90-a67a-4187-a876-6e1dbd742e89 · outbound

This paper cites Diffusion Guided Language Modeling.

Theoretical Benefit and Limitation of Diffusion Language Model Diffusion Guided Language Modeling

Reference 36

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This paper cites Beyond perplexity: Examining temporal generalization in large language models via definition generation.

Theoretical Benefit and Limitation of Diffusion Language Model Beyond perplexity: Examining temporal generalization in large language models via definition generation

Reference 37

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Theoretical Benefit and Limitation of Diffusion Language Model and Bunke, H

Reference 38

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Observation f92d1691-fcd7-4173-8891-d81b562c0438 · outbound

This paper cites Concrete score matching: Generalized score matching for discrete data.

Theoretical Benefit and Limitation of Diffusion Language Model Concrete score matching: Generalized score matching for discrete data

Reference 39

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Observation a6f7fbce-4971-4391-9dd5-fda405a491c7 · outbound

This paper cites Scaling up Masked Diffusion Models on Text.

Theoretical Benefit and Limitation of Diffusion Language Model Scaling up Masked Diffusion Models on Text

Reference 40

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Theoretical Benefit and Limitation of Diffusion Language Model Large Language Diffusion Models

Reference 41

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This paper cites Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.

Theoretical Benefit and Limitation of Diffusion Language Model Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Reference 42

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This paper cites An Empirical Study of the Non-determinism of ChatGPT in Code Generation.

Theoretical Benefit and Limitation of Diffusion Language Model An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 43

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This paper cites Bleu: a method for automatic evaluation of machine translation.

Theoretical Benefit and Limitation of Diffusion Language Model Bleu: a method for automatic evaluation of machine translation

Reference 44

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This paper cites Semi-Parametric Inducing Point Networks and Neural Processes.

Theoretical Benefit and Limitation of Diffusion Language Model Semi-Parametric Inducing Point Networks and Neural Processes

Reference 45

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Observation 1fdd8eb6-1011-4f5e-adae-4609106fd827 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Theoretical Benefit and Limitation of Diffusion Language Model Code Llama: Open Foundation Models for Code

Reference 46

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Theoretical Benefit and Limitation of Diffusion Language Model S., Arriola, M., Schiff, Y., Gokaslan, A., Marroquin, E., Chiu, J

Reference 47

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Observation 105a5554-31db-44d5-b3a1-5642113395e9 · outbound

This paper cites Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems, 36, 2024.

Theoretical Benefit and Limitation of Diffusion Language Model Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems, 36, 2024

Reference 48

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This paper cites Simplified and Generalized Masked Diffusion for Discrete Data.

Theoretical Benefit and Limitation of Diffusion Language Model Simplified and Generalized Masked Diffusion for Discrete Data

Reference 49

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This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Theoretical Benefit and Limitation of Diffusion Language Model Deep unsupervised learning using nonequilibrium thermodynamics

Reference 50

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Observation 9f8484a2-b566-4957-8300-5d0135b6f56c · outbound

This paper cites Denoising diffusion implicit models.

Theoretical Benefit and Limitation of Diffusion Language Model Denoising diffusion implicit models

Reference 51

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This paper cites P., Kumar, A., Ermon, S., and Poole, B.

Theoretical Benefit and Limitation of Diffusion Language Model P., Kumar, A., Ermon, S., and Poole, B

Reference 52

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Observation 3526f03f-16f6-42f2-b233-a548e3065ad3 · outbound

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Theoretical Benefit and Limitation of Diffusion Language Model and Yang, Y

Reference 53

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Observation 32d08e0e-e371-40f5-9e9c-c5ba9d74281d · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Theoretical Benefit and Limitation of Diffusion Language Model Sequence to Sequence Learning with Neural Networks

Reference 54

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Observation 122e8c5c-e89b-439a-9f60-78c52e171997 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

Theoretical Benefit and Limitation of Diffusion Language Model Qwen2.5: A party of foundation models, September 2024

Reference 55

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Observation 06dd4555-62ce-4838-9254-c6753cdadc98 · outbound

This paper cites DiGress: Discrete Denoising diffusion for graph generation.

Theoretical Benefit and Limitation of Diffusion Language Model DiGress: Discrete Denoising diffusion for graph generation

Reference 56

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Theoretical Benefit and Limitation of Diffusion Language Model S., and Kuleshov, V

Reference 57

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Theoretical Benefit and Limitation of Diffusion Language Model Emergent abilities of large language models

Reference 58

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Theoretical Benefit and Limitation of Diffusion Language Model V., and Zhou, D

Reference 59

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Theoretical Benefit and Limitation of Diffusion Language Model V., Zhou, D., et al

Reference 60

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Theoretical Benefit and Limitation of Diffusion Language Model Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 61

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Theoretical Benefit and Limitation of Diffusion Language Model Energy-Based Diffusion Language Models for Text Generation

Reference 62

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Theoretical Benefit and Limitation of Diffusion Language Model Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 63

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Theoretical Benefit and Limitation of Diffusion Language Model Dream 7b, 2025

Reference 64

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Theoretical Benefit and Limitation of Diffusion Language Model Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models

Reference 65

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Theoretical Benefit and Limitation of Diffusion Language Model Tractable control for autoregressive language generation

Reference 66

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Theoretical Benefit and Limitation of Diffusion Language Model Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows

Reference 67

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Theoretical Benefit and Limitation of Diffusion Language Model Unified Discrete Diffusion for Categorical Data

Reference 68

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Theoretical Benefit and Limitation of Diffusion Language Model Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Reference 69

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Theoretical Benefit and Limitation of Diffusion Language Model A Reparameterized Discrete Diffusion Model for Text Generation

Reference 70

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Theoretical Benefit and Limitation of Diffusion Language Model Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning

Reference 71

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Pith citing papers

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dKV-Cache: The Cache for Diffusion Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 17

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ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Theoretical Benefit and Limitation of Diffusion Language Model

Reference 11

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Reference 4

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Reference 2024

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Sentence Curve Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 2022

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Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching Theoretical Benefit and Limitation of Diffusion Language Model

Reference 8

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Stability-Weighted Decoding for Diffusion Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 5

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Differences in Text Generated by Diffusion and Autoregressive Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 8

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