Datasets:

PromptSystematicReview
/

ThePromptReport

@@ -1,4 +1,4 @@
-title, link, reason
 a brief history of prompt leveraging language models, https://arxiv.org/abs/2310.04438, AI Generated
 hydrogenrich supernovae beyond the neutrinodriven corecollapse paradigm,,About Space not Prompting
 fewshot learning with localization in realistic settings,,not related to prompting
@@ -238,40 +238,40 @@ clipadapter better visionlanguage models with feature adapters, http://arxiv.org
 cones concept embedding search for parameter efficient tuning large vision language models, http://arxiv.org/pdf/2305.18993v1.pdf, tangential but not prompt engineering
 logoprompt synthetic text images can be good visual prompts for visionlanguage models, http://arxiv.org/pdf/2309.01155v2.pdf, visual prompts
 manipulating embeddings of stable diffusion prompts, http://arxiv.org/pdf/2308.12059v1.pdf, manipulates embeddings not text.
-"multimodal prompt transformer with hybrid contrastive learning for emotion recognition in conversation, httparxivorgpdf231004456v1pdf", multimodel RL,
-"promptenhanced selfsupervised representation learning for remote sensing image understanding, httparxivorgpdf231000022v1pdf", about fine-tuning,
-"discrete prompt compression with reinforcement learning, httparxivorgpdf230808758v1pdf", They compressed prompts using fine-tuning,
-"automatic short math answer grading via incontext metalearning, httparxivorgpdf220515219v3pdf", About Fine-tuning,
-"graphprompt biomedical entity normalization using graphbased prompt templates, httparxivorgpdf211203002v1pdf", About fine-tuning,
-"transformers generalize differently from information stored in context vs in weights, httparxivorgpdf221005675v2pdf", tangentially related,
-"large language models meet harry potter a bilingual dataset for aligning dialogue agents with characters, httparxivorgpdf221106869v4pdf", tangentially related,
-"operationalizing specifications in addition to test sets for evaluating constrained generative models, httparxivorgpdf221200006v1pdf", tangentially related as stated in their introduction,
-"language model acceptability judgements are not always robust to context, httparxivorgpdf221208979v1pdf", I believe it is tangentially related,
-"training trajectories of language models across scales, httparxivorgpdf221209803v3pdf", More focused on training rather than anything,
-"sparks of gpts in edge intelligence for metaverse caching and inference for mobile aigc services, httparxivorgpdf230408782v2pdf", Too tangentially related,
-"tallrec an effective and efficient tuning framework to align large language model with recommendation, httparxivorgpdf230500447v3pdf", More about fine-tuning,
-"memoryefficient finetuning of compressed large language models via sub4bit integer quantization, httparxivorgpdf230514152v2pdf", About Fine-Tuning I believe,
-"do large language models know what they don't know, httparxivorgpdf230518153v2pdf", No Mention of Prompting,
-"revisiting outofdistribution robustness in nlp benchmark analysis and llms evaluations, httparxivorgpdf230604618v2pdf", Not the main focus- barely mention,
-"transformers as statisticians provable incontext learning with incontext algorithm selection, httparxivorgpdf230604637v2pdf", Hardly mentioned- not main focus,
-"trained transformers learn linear models incontext, httparxivorgpdf230609927v3pdf", As I understand- this is about training and not prompting,
-"generative multimodal entity linking, httparxivorgpdf230612725v2pdf", Only soft prompting,
-"supervised pretraining can learn incontext reinforcement learning, httparxivorgpdf230614892v1pdf", Different Contexts I believe,
-"hyenadna longrange genomic sequence modeling at single nucleotide resolution, httparxivorgpdf230615794v1pdf", Only Soft Prompting,
-"explainable depression symptom detection in social media, httparxivorgpdf231013664v2pdf", Only one mention about prompting,
-"ensembleinstruct generating instructiontuning data with a heterogeneous mixture of lms, httparxivorgpdf231013961v1pdf", About fine-tuning,
-"anomalygpt detecting industrial anomalies using large visionlanguage models, httparxivorgpdf230815366v3pdf", More about training the model,
-"uncovering hidden geometry in transformers via disentangling position and context, httparxivorgpdf231004861v1pdf", Completely non-relevant,
-"mitigating word bias in zeroshot promptbased classifiers, httparxivorgpdf230904992v1pdf", about reweighing probabilities for prompt-based classifiers,
-"ideal influencedriven selective annotations empower incontext learners in large language models, httparxivorgpdf231010873v1pdf", About fine-tuning,
-"incontext pretraining language modeling beyond document boundaries, httparxivorgpdf231010638v3pdf", Not about prompting,
-"alt towards finegrained alignment between language and ctr models for clickthrough rate prediction, httparxivorgpdf231019453v1pdf", Not really about prompting,
-"understanding catastrophic forgetting in language models via implicit inference, httparxivorgpdf230910105v1pdf", About fine-tuning,
-"do pretrained transformers really learn incontext by gradient descent, httparxivorgpdf231008540v1pdf", About fine-tuning,
-"ccprompt counterfactual contrastive prompttuning for manyclass classification, httparxivorgpdf221105987v1pdf", About fine-tuning,
-"one step of gradient descent is provably the optimal incontext learner with one layer of linear selfattention, httparxivorgpdf230703576v1pdf", Different type of prompt?,
-"cyclealign iterative distillation from blackbox llm to whitebox models for better human alignment, httparxivorgpdf231016271v1pdf", About fine-tuning,
-"transformers are efficient incontext estimators for wireless communication, httparxivorgpdf231100226v1pdf", About fine-tuning,
 scaling incontext demonstrations with structured attention,http://arxiv.org/pdf/2307.02690v1.pdf,new architecture
 incontext learning and induction heads,http://arxiv.org/pdf/2209.11895v1.pdf,new architecture
 what makes good examples for visual incontext learning,http://arxiv.org/pdf/2301.13670v2.pdf,visual only
@@ -336,59 +336,59 @@ incontext learning creates task vectors,http://arxiv.org/pdf/2310.15916v1.pdf, a
 "what and how does incontext learning learn bayesian model averaging, parameterization, and generalization",http://arxiv.org/pdf/2305.19420v2.pdf, analysis of ICL as a learning algorithm
 how do transformers learn incontext beyond simple functions a case study on learning with representations,http://arxiv.org/pdf/2310.10616v1.pdf, analysis of ICL as a learning algorithm
 transformers learn higherorder optimization methods for incontext learning a study with linear models,http://arxiv.org/pdf/2310.17086v1.pdf, analysis of ICL as a learning algorithm
-"a contemporaneous infrared flash from a long gammaray burst an echo from the central engine,httpdxdoiorg101038nature03520",Not prompting related,
-"stellar explosions by magnetic towers,httpdxdoiorg101086505621",Not prompting related,
-"high energy radiation from gamma ray bursts,httpdxdoiorg10106311291372",Not prompting related,
-"the fireball shock model of gamma ray bursts,httpdxdoiorg10106311361591",Not prompting related,
-"origin of gamma ray bursters,httpdxdoiorg101143ptps136300",Not prompting related,
-"the updated e_peak e_gamma correlation in grbs,httpdxdoiorg101393ncci2005100460",Not prompting related,
-"gammaray burst early afterglows,httpdxdoiorg10106312141841",Not prompting related,
-"mevgev emission from neutronloaded short gammaray burst jets,httpdxdoiorg101086507261",Not prompting related,
-"a two component jet model for the xray afterglow flat segment in short grb 051221a,httpdxdoiorg101086512971",Not prompting related,
-"the shallow phase of xray afterglows,httpdxdoiorg10106312943505",Not prompting related,
-"hyperaccretion after the blandfordznajek process a new model for grbs with xray flares observed in early afterglows,httpdxdoiorg101088100992718404",Not prompting related,
-"high energy gammaray emission from gammaray bursts before glast,httpdxdoiorg101007s114670080033z",Not prompting related,
-"expected performance of a hard xray polarimeter (polar) by monte carlo simulation,httpdxdoiorg101016jnima200904033",Not prompting related,
-"what do we know about gammaray bursts,httparxivorgabs10094648v2",Not prompting related,
-"possible origin of rapid variability of gammaray bursts due to convective energy transfer in hyperaccretion disks,httpdxdoiorg101111j13652966201119733x",Not prompting related,
-"gammaray burst without baryonic and magnetic load,httpdxdoiorg101143ptp126555",Not prompting related,
-"the physical origin of optical flares following grb 110205a and the nature of the outflow,httpdxdoiorg101088167445271111007",Not prompting related,
-"magnetic structures in gammaray burst jets probed by gammaray polarization,httpdxdoiorg101088204182057581l1",Not prompting related,
-"astrophysical zev acceleration in the relativistic jet from an accreting supermassive blackhole,httpdxdoiorg101016jastropartphys201402004",Not prompting related,
-"neutrinocooled accretion model with magnetic coupling for xray flares in grbs,httpdxdoiorg1010880004637x7732142",Not prompting related,
-"jet luminosity from neutrinodominated accretion flows in grbs,httparxivorgabs13083236v1",Not prompting related,
-"3d manipulation with scanning near field optical nanotweezers,httpdxdoiorg101038nnano201424",Not prompting related,
-"tuning a multiple classifier system for side effect discovery using genetic algorithms,httparxivorgabs14091053v1",Not prompting related,
-"moltensalt depleteduranium reactor,httparxivorgabs150303183v1",Not prompting related,
-"xray flares in grbs general considerations and photospheric origin,httpdxdoiorg101093mnraslslw003",Not prompting related,
-"waterinduced bimetallic alloy surface segregation a first principle study,httparxivorgabs160102346v1",Not prompting related,
-"rates and singlettriplet ratios from tadf transients,httparxivorgabs160308998v2",Not prompting related,
-"physical limits to magnetogenetics,httpdxdoiorg107554elife17210",Not prompting related,
-"the dark side of ethical robots,httparxivorgabs160602583v1",Not prompting related,
-"numerical and analytical solutions of neutrinodominated accretion flows with a nonzero torque boundary condition and its applications in gammaray bursts,httpdxdoiorg103847153843578332129",Not prompting related,
-"highenergy emission as signature of magnetic field amplification in neutron star mergers,httparxivorgabs170101184v1",Not prompting related,
-"gammaray burst models in light of the grb 170817a gw170817 connection,httparxivorgabs180207328v1",Not prompting related,
-"surface modified mesoporous gc3n4@feni3 as prompt and proficient magnetic adsorbent for crude oil recovery,httpdxdoiorg101016japsusc201812166",Not prompting related,
-"the perfect state transfer graph limbo,httparxivorgabs180800696v2",Not prompting related,
-"variabilities of gammaray bursts from black hole hyperaccretion disks,httpdxdoiorg101093mnrasstw1985",Not prompting related,
-"data driven exploratory attacks on black box classifiers in adversarial domains,httpdxdoiorg101016jneucom201802007",Not prompting related,
-"migrating large codebases to c++ modules,httpdxdoiorg1010881742659615251012051",Not prompting related,
-"mn(ii)doped 2d perovskite for light emitting devices,httparxivorgabs190605099v1",Not prompting related,
-"deep sequential feature learning in clinical image classification of infectious keratitis,httparxivorgabs200602666v1",Not prompting related,
-"hydrodynamics of corecollapse supernovae and their progenitors,httpdxdoiorg101007s4111502000085",Not prompting related,
-"xray plateaus in $γ$ray bursts explained by structured jets,httparxivorgabs200613966v1",Not prompting related,
-"polar a spaceborne xray polarimeter for transient sources,httpdxdoiorg105194astra7432011",Not prompting related,
-"the change of grb polarization angles in the magneticdominated jet model,httpdxdoiorg101093mnrasstu2051",Not prompting related,
-"perspective quantum thermodynamics,httpdxdoiorg10108813672630181011002",Not prompting related,
-"observational evidence for mass ejection accompanying short gamma ray bursts,httpdxdoiorg101093mnraslslx131",Not prompting related,
-"photospheric emission from variable engine gamma ray burst simulations,httpdxdoiorg10384715384357aaeed1",Not prompting related,
-"the divideandconquer framework a suitable setting for the ddm of the future,httparxivorgabs190100229v1",Not prompting related,
-"spectral puzzle of the offaxis gammaray burst in gw170817,httpdxdoiorg101093mnrasstz1650",Not prompting related,
-"equationofstate, critical constants, and thermodynamic properties of lithium at high energy density,httpdxdoiorg10106315143308",Not prompting related,
-"interpreting the xray afterglows of gammaray bursts with radiative losses and millisecond magnetars,httpdxdoiorg101093mnrasstaa3090",Not prompting related,
-"wavelet denoising and attentionbased rnnarima model to predict forex price,httparxivorgabs200806841v1",Not prompting related,
-"testing blandfordznajek mechanism in black hole hyperaccretion flows for longduration gammaray bursts,httpdxdoiorg10384715384357abd6bd",Not prompting related,
-"deep learningbased detection of the acute respiratory distress syndrome what are the models learning,httparxivorgabs210912323v1",Not prompting related,
-"continuationpassing style, defunctionalization, accumulations, and associativity,httpdxdoiorg1022152programmingjournalorg202267",Not prompting related,
-"helyos a customized offtheshelf solution for autonomous driving applications in delimited areas,httpdxdoiorg101109sii55687202310039276",Not prompting related,
-"the structure of gamma ray burst jets,httparxivorgabs220611088v2",Not prompting related,

+title,url,reason
 a brief history of prompt leveraging language models, https://arxiv.org/abs/2310.04438, AI Generated
 hydrogenrich supernovae beyond the neutrinodriven corecollapse paradigm,,About Space not Prompting
 fewshot learning with localization in realistic settings,,not related to prompting
 cones concept embedding search for parameter efficient tuning large vision language models, http://arxiv.org/pdf/2305.18993v1.pdf, tangential but not prompt engineering
 logoprompt synthetic text images can be good visual prompts for visionlanguage models, http://arxiv.org/pdf/2309.01155v2.pdf, visual prompts
 manipulating embeddings of stable diffusion prompts, http://arxiv.org/pdf/2308.12059v1.pdf, manipulates embeddings not text.
+multimodal prompt transformer with hybrid contrastive learning for emotion recognition in conversation,httparxivorgpdf231004456v1pdf, multimodel RL
+promptenhanced selfsupervised representation learning for remote sensing image understanding,httparxivorgpdf231000022v1pdf, about fine-tuning
+discrete prompt compression with reinforcement learning,httparxivorgpdf230808758v1pdf, They compressed prompts using fine-tuning
+automatic short math answer grading via incontext metalearning,httparxivorgpdf220515219v3pdf, About Fine-tuning
+graphprompt biomedical entity normalization using graphbased prompt templates,httparxivorgpdf211203002v1pdf, About fine-tuning
+transformers generalize differently from information stored in context vs in weights,httparxivorgpdf221005675v2pdf, tangentially related
+large language models meet harry potter a bilingual dataset for aligning dialogue agents with characters,httparxivorgpdf221106869v4pdf, tangentially related
+operationalizing specifications in addition to test sets for evaluating constrained generative models,httparxivorgpdf221200006v1pdf, tangentially related as stated in their introduction
+language model acceptability judgements are not always robust to context,httparxivorgpdf221208979v1pdf, I believe it is tangentially related
+training trajectories of language models across scales,httparxivorgpdf221209803v3pdf, More focused on training rather than anything
+sparks of gpts in edge intelligence for metaverse caching and inference for mobile aigc services,httparxivorgpdf230408782v2pdf, Too tangentially related
+tallrec an effective and efficient tuning framework to align large language model with recommendation,httparxivorgpdf230500447v3pdf, More about fine-tuning
+memoryefficient finetuning of compressed large language models via sub4bit integer quantization,httparxivorgpdf230514152v2pdf, About Fine-Tuning I believe
+do large language models know what they don't know,httparxivorgpdf230518153v2pdf, No Mention of Prompting
+revisiting outofdistribution robustness in nlp benchmark analysis and llms evaluations,httparxivorgpdf230604618v2pdf, Not the main focus- barely mention
+transformers as statisticians provable incontext learning with incontext algorithm selection,httparxivorgpdf230604637v2pdf, Hardly mentioned- not main focus
+trained transformers learn linear models incontext,httparxivorgpdf230609927v3pdf, As I understand- this is about training and not prompting
+generative multimodal entity linking,httparxivorgpdf230612725v2pdf, Only soft prompting
+supervised pretraining can learn incontext reinforcement learning,httparxivorgpdf230614892v1pdf, Different Contexts I believe
+hyenadna longrange genomic sequence modeling at single nucleotide resolution,httparxivorgpdf230615794v1pdf, Only Soft Prompting
+explainable depression symptom detection in social media,httparxivorgpdf231013664v2pdf, Only one mention about prompting
+ensembleinstruct generating instructiontuning data with a heterogeneous mixture of lms,httparxivorgpdf231013961v1pdf, About fine-tuning
+anomalygpt detecting industrial anomalies using large visionlanguage models,httparxivorgpdf230815366v3pdf, More about training the model
+uncovering hidden geometry in transformers via disentangling position and context,httparxivorgpdf231004861v1pdf, Completely non-relevant
+mitigating word bias in zeroshot promptbased classifiers,httparxivorgpdf230904992v1pdf, about reweighing probabilities for prompt-based classifiers
+ideal influencedriven selective annotations empower incontext learners in large language models,httparxivorgpdf231010873v1pdf, About fine-tuning
+incontext pretraining language modeling beyond document boundaries,httparxivorgpdf231010638v3pdf, Not about prompting
+alt towards finegrained alignment between language and ctr models for clickthrough rate prediction,httparxivorgpdf231019453v1pdf, Not really about prompting
+understanding catastrophic forgetting in language models via implicit inference,httparxivorgpdf230910105v1pdf, About fine-tuning
+do pretrained transformers really learn incontext by gradient descent,httparxivorgpdf231008540v1pdf, About fine-tuning
+ccprompt counterfactual contrastive prompttuning for manyclass classification,httparxivorgpdf221105987v1pdf, About fine-tuning
+one step of gradient descent is provably the optimal incontext learner with one layer of linear selfattention,httparxivorgpdf230703576v1pdf, Different type of prompt?
+cyclealign iterative distillation from blackbox llm to whitebox models for better human alignment,httparxivorgpdf231016271v1pdf, About fine-tuning
+transformers are efficient incontext estimators for wireless communication,httparxivorgpdf231100226v1pdf, About fine-tuning
 scaling incontext demonstrations with structured attention,http://arxiv.org/pdf/2307.02690v1.pdf,new architecture
 incontext learning and induction heads,http://arxiv.org/pdf/2209.11895v1.pdf,new architecture
 what makes good examples for visual incontext learning,http://arxiv.org/pdf/2301.13670v2.pdf,visual only
 "what and how does incontext learning learn bayesian model averaging, parameterization, and generalization",http://arxiv.org/pdf/2305.19420v2.pdf, analysis of ICL as a learning algorithm
 how do transformers learn incontext beyond simple functions a case study on learning with representations,http://arxiv.org/pdf/2310.10616v1.pdf, analysis of ICL as a learning algorithm
 transformers learn higherorder optimization methods for incontext learning a study with linear models,http://arxiv.org/pdf/2310.17086v1.pdf, analysis of ICL as a learning algorithm
+a contemporaneous infrared flash from a long gammaray burst an echo from the central engine,httpdxdoiorg101038nature03520,Not prompting related
+stellar explosions by magnetic towers,httpdxdoiorg101086505621,Not prompting related
+high energy radiation from gamma ray bursts,httpdxdoiorg10106311291372,Not prompting related
+the fireball shock model of gamma ray bursts,httpdxdoiorg10106311361591,Not prompting related
+origin of gamma ray bursters,httpdxdoiorg101143ptps136300,Not prompting related
+the updated e_peak e_gamma correlation in grbs,httpdxdoiorg101393ncci2005100460,Not prompting related
+gammaray burst early afterglows,httpdxdoiorg10106312141841,Not prompting related
+mevgev emission from neutronloaded short gammaray burst jets,httpdxdoiorg101086507261,Not prompting related
+a two component jet model for the xray afterglow flat segment in short grb 051221a,httpdxdoiorg101086512971,Not prompting related
+the shallow phase of xray afterglows,httpdxdoiorg10106312943505,Not prompting related
+hyperaccretion after the blandfordznajek process a new model for grbs with xray flares observed in early afterglows,httpdxdoiorg101088100992718404,Not prompting related
+high energy gammaray emission from gammaray bursts before glast,httpdxdoiorg101007s114670080033z,Not prompting related
+expected performance of a hard xray polarimeter (polar) by monte carlo simulation,httpdxdoiorg101016jnima200904033,Not prompting related
+what do we know about gammaray bursts,httparxivorgabs10094648v2,Not prompting related
+possible origin of rapid variability of gammaray bursts due to convective energy transfer in hyperaccretion disks,httpdxdoiorg101111j13652966201119733x,Not prompting related
+gammaray burst without baryonic and magnetic load,httpdxdoiorg101143ptp126555,Not prompting related
+the physical origin of optical flares following grb 110205a and the nature of the outflow,httpdxdoiorg101088167445271111007,Not prompting related
+magnetic structures in gammaray burst jets probed by gammaray polarization,httpdxdoiorg101088204182057581l1,Not prompting related
+astrophysical zev acceleration in the relativistic jet from an accreting supermassive blackhole,httpdxdoiorg101016jastropartphys201402004,Not prompting related
+neutrinocooled accretion model with magnetic coupling for xray flares in grbs,httpdxdoiorg1010880004637x7732142,Not prompting related
+jet luminosity from neutrinodominated accretion flows in grbs,httparxivorgabs13083236v1,Not prompting related
+3d manipulation with scanning near field optical nanotweezers,httpdxdoiorg101038nnano201424,Not prompting related
+tuning a multiple classifier system for side effect discovery using genetic algorithms,httparxivorgabs14091053v1,Not prompting related
+moltensalt depleteduranium reactor,httparxivorgabs150303183v1,Not prompting related
+xray flares in grbs general considerations and photospheric origin,httpdxdoiorg101093mnraslslw003,Not prompting related
+waterinduced bimetallic alloy surface segregation a first principle study,httparxivorgabs160102346v1,Not prompting related
+rates and singlettriplet ratios from tadf transients,httparxivorgabs160308998v2,Not prompting related
+physical limits to magnetogenetics,httpdxdoiorg107554elife17210,Not prompting related
+the dark side of ethical robots,httparxivorgabs160602583v1,Not prompting related
+numerical and analytical solutions of neutrinodominated accretion flows with a nonzero torque boundary condition and its applications in gammaray bursts,httpdxdoiorg103847153843578332129,Not prompting related
+highenergy emission as signature of magnetic field amplification in neutron star mergers,httparxivorgabs170101184v1,Not prompting related
+gammaray burst models in light of the grb 170817a gw170817 connection,httparxivorgabs180207328v1,Not prompting related
+surface modified mesoporous gc3n4@feni3 as prompt and proficient magnetic adsorbent for crude oil recovery,httpdxdoiorg101016japsusc201812166,Not prompting related
+the perfect state transfer graph limbo,httparxivorgabs180800696v2,Not prompting related
+variabilities of gammaray bursts from black hole hyperaccretion disks,httpdxdoiorg101093mnrasstw1985,Not prompting related
+data driven exploratory attacks on black box classifiers in adversarial domains,httpdxdoiorg101016jneucom201802007,Not prompting related
+migrating large codebases to c++ modules,httpdxdoiorg1010881742659615251012051,Not prompting related
+mn(ii)doped 2d perovskite for light emitting devices,httparxivorgabs190605099v1,Not prompting related
+deep sequential feature learning in clinical image classification of infectious keratitis,httparxivorgabs200602666v1,Not prompting related
+hydrodynamics of corecollapse supernovae and their progenitors,httpdxdoiorg101007s4111502000085,Not prompting related
+xray plateaus in $γ$ray bursts explained by structured jets,httparxivorgabs200613966v1,Not prompting related
+polar a spaceborne xray polarimeter for transient sources,httpdxdoiorg105194astra7432011,Not prompting related
+the change of grb polarization angles in the magneticdominated jet model,httpdxdoiorg101093mnrasstu2051,Not prompting related
+perspective quantum thermodynamics,httpdxdoiorg10108813672630181011002,Not prompting related
+observational evidence for mass ejection accompanying short gamma ray bursts,httpdxdoiorg101093mnraslslx131,Not prompting related
+photospheric emission from variable engine gamma ray burst simulations,httpdxdoiorg10384715384357aaeed1,Not prompting related
+the divideandconquer framework a suitable setting for the ddm of the future,httparxivorgabs190100229v1,Not prompting related
+spectral puzzle of the offaxis gammaray burst in gw170817,httpdxdoiorg101093mnrasstz1650,Not prompting related
+"equationofstate, critical constants, and thermodynamic properties of lithium at high energy density",httpdxdoiorg10106315143308,Not prompting related
+interpreting the xray afterglows of gammaray bursts with radiative losses and millisecond magnetars,httpdxdoiorg101093mnrasstaa3090,Not prompting related
+wavelet denoising and attentionbased rnnarima model to predict forex price,httparxivorgabs200806841v1,Not prompting related
+testing blandfordznajek mechanism in black hole hyperaccretion flows for longduration gammaray bursts,httpdxdoiorg10384715384357abd6bd,Not prompting related
+deep learningbased detection of the acute respiratory distress syndrome what are the models learning,httparxivorgabs210912323v1,Not prompting related
+"continuationpassing style, defunctionalization, accumulations, and associativity",httpdxdoiorg1022152programmingjournalorg202267,Not prompting related
+helyos a customized offtheshelf solution for autonomous driving applications in delimited areas,httpdxdoiorg101109sii55687202310039276,Not prompting related
+the structure of gamma ray burst jets,httparxivorgabs220611088v2,Not prompting related