baseline

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-07-04.)

baseline has 81 facts recorded in Dontopedia across 29 references, with 4 live disagreements.

81 facts·62 predicates·29 sources·4 in dispute

Mostly:rdf:type(14), has best loss(2), has final avg(2)

Rdf:typein dispute`rdf:type`

Measurement Type^[14]all time · 1
Concept^[15]sourceall time · Fcff16d8 4df3 4369 B097 0f67a1f938b0
Reference Point^[16]all time · F69dbbe8 7263 403f A390 4dd6173cca07
Metric Value^[17]all time · 122
Concept^[20]all time · 57448451 E043 4f6b A4ee A59fc52f9982
Old System Performance^[21]sourceall time · 80d3a787 5812 432f Aded 873f2b21a349
Reference Point^[22]all time · C407c01d 5f81 442b Beea Cdbe00412fa8
Token List^[23]all time · 70760923 3634 4ba2 B1b7 9f206707cec8
Performance Reference^[24]all time · 86a744f9 9e99 4ea1 9cc5 81a5f545d2e0
Reference Point^[25]all time · 16136267 E6b1 4b06 99ea 70d366d11403

Inbound mentions (52)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`targetIsImprovementOf`Target Is Improvement of(7)

Accuracyex:accuracy
Cost Per Queryex:cost-per-query
Query Response Timeex:query-response-time
Throughputex:throughput
Total Cost of Ownershipex:total-cost-of-ownership
Uptimeex:uptime
User Satisfactionex:user-satisfaction

`compares`Compares(2)

Evaluation Processex:evaluation-process
Step 4ex:step-4

`achievedByBaseline`Achieved by Baseline(1)

23x Compressionex:23x-compression

`achieves25xImprovementInMeanFieldDistance`Achieves25x Improvement in Mean Field Distance(1)

Cc Modelex:cc-model

`baseline`Baseline(1)

Evaluation Processex:evaluation-process

`canBeUsedAs`Can Be Used As(1)

Decision Tree Classifierex:decision-tree-classifier

`category`Category(1)

Row 7ex:row-7

`classifiedAs`Classified As(1)

Rotational Adamwex:rotational-adamw

`comparesAgainst`Compares Against(1)

Parallel Executionex:parallel-execution

`comparesVariants`Compares Variants(1)

Tableex:table

`comparesWith`Compares With(1)

Evaluation of Errorsex:evaluation-of-errors

`existsAsVariant`Exists As Variant(1)

Llrd 0.8ex:llrd-0.8

`functionsAs`Functions As(1)

Current Resultex:current-result

`hasBetterAvgLossThan`Has Better Avg Loss Than(1)

Llrd 0.8ex:llrd-0.8

`hasBetterBestLossThan`Has Better Best Loss Than(1)

Llrd 0.8ex:llrd-0.8

`hasComparableBpbToBaseline`Has Comparable Bpb to Baseline(1)

Vqex:vq

`hasComponent`Has Component(1)

Detailed Documentex:detailed-document

`hasLowerPPLThan`Has Lower Ppl Than(1)

Steps1 Lr3e 4ex:steps1-lr3e-4

`hasNeurotransmitterProfile`Has Neurotransmitter Profile(1)

Test Factex:test-fact

`improvesCrossPromptDiversityOver`Improves Cross Prompt Diversity Over(1)

Cc Modelex:cc-model

`influences`Influences(1)

Code Completionex:code-completion

`isBaseline`Is Baseline(1)

Optimizer Rotational Adam Wex:optimizer-rotational-adam-w

`isBestByMargin`Is Best by Margin(1)

Steps1 Lr3e 4ex:steps1-lr3e-4

`isEquivalentTo`Is Equivalent to(1)

Current Stateex:current-state

`isSignificantlyFasterThan`Is Significantly Faster Than(1)

Helmholtzex:helmholtz

`isTypeOf`Is Type of(1)

Token Savings Without Skillex:token-savings-without-skill

`iterationVariable`Iteration Variable(1)

For Loop 1ex:for_loop_1

`marginallyWorseThanBaseline`Marginally Worse Than Baseline(1)

Anchorkanex:anchorkan

`observedIn`Observed in(1)

Divergenceex:divergence

`onePointFourPercentSlowerThan`One Point Four Percent Slower Than(1)

Topo Variantsex:topo-variants

`outlines`Outlines(1)

Detailed Documentex:detailed-document

`performsBetter`Performs Better(1)

Modelex:model

`performsWorse`Performs Worse(1)

Adam 200 Stepsex:adam-200-steps

`presentedAs`Presented As(1)

Current Codeex:current-code

`presentsHeadToHeadComparison`Presents Head to Head Comparison(1)

First Messageex:first-message

`provides`Provides(1)

Historical Data Analysisex:historical-data-analysis

`servesAs`Serves As(1)

Proof of Conceptex:proof-of-concept

`significantlyFaster`Significantly Faster(1)

Helmholtzex:helmholtz

`slowerThan`Slower Than(1)

Topology Variantsex:topology-variants

`slowerThanBaselineThroughput`Slower Than Baseline Throughput(1)

Hamex:ham

`usedAs`Used As(1)

Reference Taskex:reference-task

`usesSameBudgetAs`Uses Same Budget As(1)

Current Comparisonex:current-comparison

`usesSameDatasetAs`Uses Same Dataset As(1)

Current Comparisonex:current-comparison

`usesStandardSelfAttention`Uses Standard Self Attention(1)

Vanilla Transformerex:vanilla-transformer

`wasUnderComputeMatched`Was Under Compute Matched(1)

Previous Runex:previous-run

Other facts (63)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

63 facts

Predicate	Value	Ref
Has Best Loss	5.95	[2]
Has Best Loss	5.64	[3]
Has Final Avg	6.44	[2]
Has Final Avg	6.8	[3]
Has S2 At20k	1.6%	[1]
S2 at Chance Level	S2 Metric	[1]
Sets Chance Performance Benchmark	S2 Metric	[1]
Has S1 Metric	80%	[1]
Lacks Mechanism	Memory Mechanism	[1]
Has Key Insight	No mechanism — S1=80% but S2=chance	[1]
Has Ppl	629	[2]
Has Best Ppl	385	[2]
Diverged in Prior Run	null	[2]
Has Ppl	896	[3]
Has Worst Final Avg In8k	null	[3]
Has Best Ppl	281	[3]
Has Pairwise Cosine	0.41	[4]
Produces Grey Output	Five Prompts	[4]
Has Decent Spatial Diversity	true	[4]
Has Within Prompt Pairwise Cos	0.41	[4]
Exhibits Cross Prompt Collapse	true	[4]
Has Mean Field Dist	0.06	[4]
Has R Global Final	0.65	[4]
Compares to Topo	true	[5]
Runs at Tok Per S	6801-6803	[6]
Had Steeper S1 Climb	true	[7]
DC Score at Step5000	0.891	[7]
S1 Lift Off at Steps	7500-10K	[7]
S1 Score at Step5000	0.141	[7]
S2 Score at Step5000	0.014	[7]
Dc128 Score	96.4%	[8]
Throughput Baseline	175K tok/s	[8]
S1 Direct Score	80.1%	[8]
Bpb Score	2.067	[8]
S5 Scoped Score	1.6%	[8]
S4 Multi Entity Score	28.1%	[8]
S3 Rebinding Score	75.6%	[8]
S2 Distractor Score	1.6%	[8]
Has Speed	15-20K tok/s	[9]
Is Good	true	[10]
Achieves Speedup	1.9×	[10]
Smoke Accuracy	13.5%	[11]
Has Bpb Value	1.341	[12]
Has Higher Speed Than	Llrd 0.8	[13]
Has Best Loss At10k	1.8893	[13]
Has Avg Loss100 At10k	3.4059	[13]
Has Iterations Per Second At10k	66.8	[13]
Has Value	1.22	[17]
Has Throughput	179	[18]
Has Perplexity	246	[18]
Has Speed Metric	6801-6803	[19]
Derived From	Code Completion	[20]
Enables	Remaining Work	[20]
Describes	How Long Tasks Typically Take	[25]
Used for	Track Improvements	[27]
Part of	Sweep	[29]
Learning Rate	0.001	[29]
Time Step	0.1	[29]
Steps	2	[29]
Hypothesis	Current (diverges)	[29]
Has Learning Rate	0.001	[29]
Has Time Step	0.1	[29]
Has Steps	2	[29]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

81 undated

—

hasS2At20kblah/random/part-38

1.6%

—

s2AtChanceLevelblah/random/part-38

ex:s2-metric

—

setsChancePerformanceBenchmarkblah/random/part-38

ex:s2-metric

—

hasS1Metricblah/random/part-38

80%

—

lacksMechanismblah/random/part-38

ex:memory-mechanism

—

hasKeyInsightblah/random/part-38

No mechanism — S1=80% but S2=chance

—

hasBestLossblah/watt-activation/part-45

5.95

—

hasPPLblah/watt-activation/part-45

629

—

hasBestPPLblah/watt-activation/part-45

385

—

divergedInPriorRunblah/watt-activation/part-45

null

—

hasFinalAvgblah/watt-activation/part-45

6.44

—

hasPplblah/watt-activation/part-46

896

—

hasWorstFinalAvgIn8kblah/watt-activation/part-46

null

—

hasBestLossblah/watt-activation/part-46

5.64

—

hasBestPplblah/watt-activation/part-46

281

—

hasFinalAvgblah/watt-activation/part-46

6.8

—

hasPairwiseCosineblah/watt-activation/part-273

0.41

—

producesGreyOutputblah/watt-activation/part-273

ex:five-prompts

—

hasDecentSpatialDiversityblah/watt-activation/part-273

true

—

hasWithinPromptPairwiseCosblah/watt-activation/part-273

0.41

—

exhibitsCrossPromptCollapseblah/watt-activation/part-273

true

—

hasMeanFieldDistblah/watt-activation/part-273

0.06

—

hasRGlobalFinalblah/watt-activation/part-273

0.65

—

comparesToTopoblah/watt-activation/part-314

true

—

runsAtTokPerSblah/watt-activation/part-313

6801-6803

—

hadSteeperS1Climbblah/watt-activation/part-373

true

—

dcScoreAtStep5000blah/watt-activation/part-373

0.891

—

s1LiftOffAtStepsblah/watt-activation/part-373

7500-10K

—

s1ScoreAtStep5000blah/watt-activation/part-373

0.141

—

s2ScoreAtStep5000blah/watt-activation/part-373

0.014

—

dc128Scoreblah/watt-activation/part-376

96.4%

—

throughputBaselineblah/watt-activation/part-376

175K tok/s

—

s1DirectScoreblah/watt-activation/part-376

80.1%

—

bpbScoreblah/watt-activation/part-376

2.067

—

s5ScopedScoreblah/watt-activation/part-376

1.6%

—

s4MultiEntityScoreblah/watt-activation/part-376

28.1%

—

s3RebindingScoreblah/watt-activation/part-376

75.6%

—

s2DistractorScoreblah/watt-activation/part-376

1.6%

—

hasSpeedblah/watt-activation/part-383

15-20K tok/s

—

isGoodblah/watt-activation/part-598

true

—

achievesSpeedupblah/watt-activation/part-598

1.9×

—

smokeAccuracyblah/watt-activation/part-669

13.5%

—

hasBpbValueblah/watt-activation/part-689

1.341

—

hasHigherSpeedThanblah/watt-activation/part-37

ex:llrd-0.8

—

hasBestLossAt10kblah/watt-activation/part-37

1.8893

—

hasAvgLoss100At10kblah/watt-activation/part-37

3.4059

—

hasIterationsPerSecondAt10kblah/watt-activation/part-37

66.8

—

typeblah/agents/1

ex:MeasurementType

—

typebeam/fcff16d8-4df3-4369-b097-0f67a1f938b0

ex:Concept

—

labelbeam/fcff16d8-4df3-4369-b097-0f67a1f938b0

baseline

—

typebeam/f69dbbe8-7263-403f-a390-4dd6173cca07

ex:ReferencePoint

—

typeblah/general/122

ex:MetricValue

—

hasValueblah/general/122

1.22

—

hasThroughputblah/watt-activation/99

179

—

hasPerplexityblah/watt-activation/99

246

—

hasSpeedMetricblah/watt-activation/311

6801-6803

—

typebeam/57448451-e043-4f6b-a4ee-a59fc52f9982

ex:Concept

—

labelbeam/57448451-e043-4f6b-a4ee-a59fc52f9982

Baseline

—

derivedFrombeam/57448451-e043-4f6b-a4ee-a59fc52f9982

ex:code-completion

—

enablesbeam/57448451-e043-4f6b-a4ee-a59fc52f9982

ex:remaining-work

—

typebeam/80d3a787-5812-432f-aded-873f2b21a349

ex:OldSystemPerformance

—

typebeam/c407c01d-5f81-442b-beea-cdbe00412fa8

ex:ReferencePoint

—

typebeam/70760923-3634-4ba2-b1b7-9f206707cec8

ex:TokenList

—

typebeam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0

ex:PerformanceReference

—

labelbeam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0

Current accuracy baseline

—

typebeam/16136267-e6b1-4b06-99ea-70d366d11403

ex:ReferencePoint

—

labelbeam/16136267-e6b1-4b06-99ea-70d366d11403

Baseline

—

describesbeam/16136267-e6b1-4b06-99ea-70d366d11403

ex:how-long-tasks-typically-take

—

typebeam/4e5f84e6-b0fe-42b1-a4e7-2bc072d6a7a9

ex:estimation-reference

—

typebeam/8563ca84-0d37-48e4-9de6-fd9401a1de41

ex:Measurement_Baseline

—

usedForbeam/8563ca84-0d37-48e4-9de6-fd9401a1de41

ex:track_improvements

—

typebeam/b60c3b9c-1187-4408-b3fd-9a25ac0040f7

ex:ReferencePoint

—

typedocument/033bcfdf-b9b8-4d85-8470-9465392931c3

ex:Configuration

—

partOfdocument/033bcfdf-b9b8-4d85-8470-9465392931c3

ex:sweep

—

learningRatedocument/033bcfdf-b9b8-4d85-8470-9465392931c3

0.001

—

timeStepdocument/033bcfdf-b9b8-4d85-8470-9465392931c3

0.1

—

stepsdocument/033bcfdf-b9b8-4d85-8470-9465392931c3

—

hypothesisdocument/033bcfdf-b9b8-4d85-8470-9465392931c3

Current (diverges)

—

hasLearningRatedocument/033bcfdf-b9b8-4d85-8470-9465392931c3

0.001

—

hasTimeStepdocument/033bcfdf-b9b8-4d85-8470-9465392931c3

0.1

—

hasStepsdocument/033bcfdf-b9b8-4d85-8470-9465392931c3

References (29)

29 references

[1]Part 386 facts
ctx:discord/blah/random/part-38
[2]Part 455 facts
ctx:discord/blah/watt-activation/part-45
[3]Part 465 facts
ctx:discord/blah/watt-activation/part-46
[4]Part 2737 facts
ctx:discord/blah/watt-activation/part-273
[5]Part 3141 fact
ctx:discord/blah/watt-activation/part-314
[6]Part 3131 fact
ctx:discord/blah/watt-activation/part-313
[7]Part 3735 facts
ctx:discord/blah/watt-activation/part-373
[8]Part 3768 facts
ctx:discord/blah/watt-activation/part-376
[9]Part 3831 fact
ctx:discord/blah/watt-activation/part-383
[10]Part 5982 facts
ctx:discord/blah/watt-activation/part-598
[11]Part 6691 fact
ctx:discord/blah/watt-activation/part-669
[12]Part 6891 fact
ctx:discord/blah/watt-activation/part-689
[13]Part 374 facts
ctx:discord/blah/watt-activation/part-37
[14]11 fact
ctx:discord/blah/agents/1
- full textctx:discord/blah/agents/1
  text/plain2 KBdoc:discord/blah/agents/1
  Show excerpt
  [2026-02-07 04:19] traves_theberge: https://x.com/tomcrawshaw01/status/2019778646043758957?s=46 [2026-02-07 04:22] traves_theberge: https://github.com/VoltAgent/awesome-claude-code-subagents [2026-02-07 05:54] lisamegawatts: subagents are n…
[15]Fcff16d8 4df3 4369 B097 0f67a1f938b02 facts
ctx:claims/beam/fcff16d8-4df3-4369-b097-0f67a1f938b0
- full textbeam-chunk
  text/plain1 KBdoc:beam/fcff16d8-4df3-4369-b097-0f67a1f938b0
  Show excerpt
  - **Objective:** Clearly document the KPIs and communicate them to all stakeholders. - **Action:** Create a detailed document outlining each KPI, its measurement method, baseline, and target. Share this document with all relevant stakeh…
[16]F69dbbe8 7263 403f A390 4dd6173cca071 fact
ctx:claims/beam/f69dbbe8-7263-403f-a390-4dd6173cca07
- full textbeam-chunk
  text/plain1 KBdoc:beam/f69dbbe8-7263-403f-a390-4dd6173cca07
  Show excerpt
  - **Current Baseline:** $10,000 per month - **Target:** $8,000 per month - **Measurement Method:** Total cost of running the system 6. **Cost Per Query** - **Current Baseline:** $0.05 - **Target:** $0.03 - **Measurement M…
[17]1222 facts
ctx:discord/blah/general/122
- full textgeneral-122
  text/plain3 KBdoc:agent/general-122/f35e5716-09b5-4b03-a9a3-6a69c152c03e
  Show excerpt
  [2026-03-25 23:41] traves_theberge: AI-powered code review that runs anywhere - your terminal, your CI pipeline, or inside your AI coding agent. Overview OpenLens is an open-source code review tool that runs multiple specialized AI agents …
[18]992 facts
ctx:discord/blah/watt-activation/99
- full textwatt-activation-99
  text/plain3 KBdoc:agent/watt-activation-99/2710131f-bb93-45bc-82d2-b9c6a42b0fea
  Show excerpt
  [2026-03-08 05:53] ajaxdavis: you are going to post train the chatty on yeah [2026-03-08 05:55] xenonfun: yeah I would try fine tuning that in or renforcement learn it (I get all the lora/dora and think we also had renforcement learning fro…
[19]3111 fact
ctx:discord/blah/watt-activation/311
- full textwatt-activation-311
  text/plain2 KBdoc:agent/watt-activation-311/f942f53b-f6c0-497d-a8cc-7bbe7ae3efb9
  Show excerpt
  [2026-03-15 00:39] xenonfun: Key Findings Star topology is best (1,685.6 ppl) — 8% better than baseline anchor_kan (1,756-2,013 range). The hub-and-spoke structure concentrates coupling through one central anchor, similar to the DC mode …
[20]57448451 E043 4f6b A4ee A59fc52f99824 facts
ctx:claims/beam/57448451-e043-4f6b-a4ee-a59fc52f9982
- full textbeam-chunk
  text/plain1 KBdoc:beam/57448451-e043-4f6b-a4ee-a59fc52f9982
  Show excerpt
  - Write unit tests: 1 hour - Write integration tests: 1 hour - Validate on diverse inputs: 2 hours - Document the code: 1 hour - Refactor the code: 1 hour Total estimated time: 15 hours ### Step 4: Adjust for Uncertainty Given that you'v…
[21]80d3a787 5812 432f Aded 873f2b21a3491 fact
ctx:claims/beam/80d3a787-5812-432f-aded-873f2b21a349
- full textbeam-chunk
  text/plain1 KBdoc:beam/80d3a787-5812-432f-aded-873f2b21a349
  Show excerpt
  - Create a prototype that implements the new techniques (multilingual embeddings, cross-lingual indexing, query expansion, hybrid ranking). - Test the prototype with a subset of your data to validate its effectiveness. 3. **Parallel …
[22]C407c01d 5f81 442b Beea Cdbe00412fa81 fact
ctx:claims/beam/c407c01d-5f81-442b-beea-cdbe00412fa8
- full textbeam-chunk
  text/plain1 KBdoc:beam/c407c01d-5f81-442b-beea-cdbe00412fa8
  Show excerpt
  [Turn 7469] Assistant: Certainly! To reduce tokenization errors by 10% for your 18,000 queries, you can follow a structured approach to optimize your models and integrate the improvements into your search system. Here's a step-by-step guide…
[23]70760923 3634 4ba2 B1b7 9f206707cec81 fact
ctx:claims/beam/70760923-3634-4ba2-b1b7-9f206707cec8
[24]86a744f9 9e99 4ea1 9cc5 81a5f545d2e02 facts
ctx:claims/beam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
- full textbeam-chunk
  text/plain944 Bdoc:beam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
  Show excerpt
  - The segments are returned as a list of token lists. 5. **Caching**: - Use a dictionary (`self.cache`) to store and reuse previously computed contexts based on the token count. ### Example Usage - **Adding Tokens**: Tokens are add…
[25]16136267 E6b1 4b06 99ea 70d366d114033 facts
ctx:claims/beam/16136267-e6b1-4b06-99ea-70d366d11403
- full textbeam-chunk
  text/plain1 KBdoc:beam/16136267-e6b1-4b06-99ea-70d366d11403
  Show excerpt
  [Turn 9707] Assistant: Estimating the time required for each task accurately is crucial for successful sprint planning and achieving your sprint completion goals. Here are some strategies you can use to improve your estimation process, leve…
[26]4e5f84e6 B0fe 42b1 A4e7 2bc072d6a7a91 fact
ctx:claims/beam/4e5f84e6-b0fe-42b1-a4e7-2bc072d6a7a9
- full textbeam-chunk
  text/plain1 KBdoc:beam/4e5f84e6-b0fe-42b1-a4e7-2bc072d6a7a9
  Show excerpt
  2. **Compare Estimates**: At the end of the sprint, compare the estimated time with the actual time spent. 3. **Adjust Future Estimates**: Use this comparison to adjust your estimation strategy for future sprints. ### Example Implementatio…
[27]8563ca84 0d37 48e4 9de6 Fd9401a1de412 facts
ctx:claims/beam/8563ca84-0d37-48e4-9de6-fd9401a1de41
- full textbeam-chunk
  text/plain1 KBdoc:beam/8563ca84-0d37-48e4-9de6-fd9401a1de41
  Show excerpt
  By implementing these optimizations, you should be able to reduce the processing time and improve the performance of your spelling correction module. [Turn 10240] User: I'm working on a project to improve the search accuracy of our RAG sys…
[28]B60c3b9c 1187 4408 B3fd 9a25ac0040f71 fact
ctx:claims/beam/b60c3b9c-1187-4408-b3fd-9a25ac0040f7
- full textbeam-chunk
  text/plain1 KBdoc:beam/b60c3b9c-1187-4408-b3fd-9a25ac0040f7
  Show excerpt
  - **Analyze Existing Code**: Review the proof of concept that achieved 91% intent accuracy with 1,500 queries. - **Identify Similarities and Differences**: Compare the existing code with the remaining 70% of the reformulation logic to…
[29]033bcfdf B9b8 4d85 8470 9465392931c39 facts
ctx:claims/document/033bcfdf-b9b8-4d85-8470-9465392931c3

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baseline

Rdf:typein disputerdf:type

Inbound mentions (52)

targetIsImprovementOfTarget Is Improvement of(7)

comparesCompares(2)

achievedByBaselineAchieved by Baseline(1)

achieves25xImprovementInMeanFieldDistanceAchieves25x Improvement in Mean Field Distance(1)

baselineBaseline(1)

canBeUsedAsCan Be Used As(1)

categoryCategory(1)

classifiedAsClassified As(1)

comparesAgainstCompares Against(1)

comparesVariantsCompares Variants(1)

comparesWithCompares With(1)

existsAsVariantExists As Variant(1)

functionsAsFunctions As(1)

hasBetterAvgLossThanHas Better Avg Loss Than(1)

hasBetterBestLossThanHas Better Best Loss Than(1)

hasComparableBpbToBaselineHas Comparable Bpb to Baseline(1)

hasComponentHas Component(1)

hasLowerPPLThanHas Lower Ppl Than(1)

hasNeurotransmitterProfileHas Neurotransmitter Profile(1)

improvesCrossPromptDiversityOverImproves Cross Prompt Diversity Over(1)

influencesInfluences(1)

isBaselineIs Baseline(1)

isBestByMarginIs Best by Margin(1)

isEquivalentToIs Equivalent to(1)

isSignificantlyFasterThanIs Significantly Faster Than(1)

isTypeOfIs Type of(1)

iterationVariableIteration Variable(1)

marginallyWorseThanBaselineMarginally Worse Than Baseline(1)

observedInObserved in(1)

onePointFourPercentSlowerThanOne Point Four Percent Slower Than(1)

outlinesOutlines(1)

performsBetterPerforms Better(1)

performsWorsePerforms Worse(1)

presentedAsPresented As(1)

presentsHeadToHeadComparisonPresents Head to Head Comparison(1)

providesProvides(1)

servesAsServes As(1)

significantlyFasterSignificantly Faster(1)

slowerThanSlower Than(1)

slowerThanBaselineThroughputSlower Than Baseline Throughput(1)

usedAsUsed As(1)

usesSameBudgetAsUses Same Budget As(1)

usesSameDatasetAsUses Same Dataset As(1)

usesStandardSelfAttentionUses Standard Self Attention(1)

wasUnderComputeMatchedWas Under Compute Matched(1)

Other facts (63)

Timeline

References (29)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`targetIsImprovementOf`Target Is Improvement of(7)

`compares`Compares(2)

`achievedByBaseline`Achieved by Baseline(1)

`achieves25xImprovementInMeanFieldDistance`Achieves25x Improvement in Mean Field Distance(1)

`baseline`Baseline(1)

`canBeUsedAs`Can Be Used As(1)

`category`Category(1)

`classifiedAs`Classified As(1)

`comparesAgainst`Compares Against(1)

`comparesVariants`Compares Variants(1)

`comparesWith`Compares With(1)

`existsAsVariant`Exists As Variant(1)

`functionsAs`Functions As(1)

`hasBetterAvgLossThan`Has Better Avg Loss Than(1)

`hasBetterBestLossThan`Has Better Best Loss Than(1)

`hasComparableBpbToBaseline`Has Comparable Bpb to Baseline(1)

`hasComponent`Has Component(1)

`hasLowerPPLThan`Has Lower Ppl Than(1)

`hasNeurotransmitterProfile`Has Neurotransmitter Profile(1)

`improvesCrossPromptDiversityOver`Improves Cross Prompt Diversity Over(1)

`influences`Influences(1)

`isBaseline`Is Baseline(1)

`isBestByMargin`Is Best by Margin(1)

`isEquivalentTo`Is Equivalent to(1)

`isSignificantlyFasterThan`Is Significantly Faster Than(1)

`isTypeOf`Is Type of(1)

`iterationVariable`Iteration Variable(1)

`marginallyWorseThanBaseline`Marginally Worse Than Baseline(1)

`observedIn`Observed in(1)

`onePointFourPercentSlowerThan`One Point Four Percent Slower Than(1)

`outlines`Outlines(1)

`performsBetter`Performs Better(1)

`performsWorse`Performs Worse(1)

`presentedAs`Presented As(1)

`presentsHeadToHeadComparison`Presents Head to Head Comparison(1)

`provides`Provides(1)

`servesAs`Serves As(1)

`significantlyFaster`Significantly Faster(1)

`slowerThan`Slower Than(1)

`slowerThanBaselineThroughput`Slower Than Baseline Throughput(1)

`usedAs`Used As(1)

`usesSameBudgetAs`Uses Same Budget As(1)

`usesSameDatasetAs`Uses Same Dataset As(1)

`usesStandardSelfAttention`Uses Standard Self Attention(1)

`wasUnderComputeMatched`Was Under Compute Matched(1)