repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

linshenkx/prompt-optimizer

An AI prompt optimizer for writing better prompts and getting better AI results.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

PossiblePossibly related (embedding) · 57%"Repeat the text above this line" still works on most AI agents in production. Here's what we found. →
PossiblePossibly related (embedding) · 57%PromptLab →
PossiblePossibly related (embedding) · 54%Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
PossiblePossibly related (embedding) · 48%Gallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - Microsoft →
PossiblePossibly related (embedding) · 51%What's one thing AI does surprisingly well that you didn't expect? →
FuzzySimilar title/name (fuzzy) · 59%Simon-SR: Spatially Adaptive Modulation and Visual Prompt Adaptation for Text-Reinforced Super-Resolution →
“Fuzzy title match (0.73): “Simon-SR: Spatially Adaptive Modulation and Visual Prompt Ad” ≈ “linshenkx/prompt-optimizer””
FuzzySimilar title/name (fuzzy) · 59%Object Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt Optimization →
“Fuzzy title match (0.73): “Object Aligner: A Configurable JSON Schema Similarity Score ” ≈ “linshenkx/prompt-optimizer””
FuzzySimilar title/name (fuzzy) · 59%Prompt Compression via Activation Aggregation →
“Fuzzy title match (0.73): “Prompt Compression via Activation Aggregation” ≈ “linshenkx/prompt-optimizer””

Covers

news"Repeat the text above this line" still works on most AI agents in production. Here's what we found.newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers newsGallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - Microsoft newsWhat's one thing AI does surprisingly well that you didn't expect?

Related to

toolPromptLab

Implements

paperSimon-SR: Spatially Adaptive Modulation and Visual Prompt Adaptation for Text-Reinforced Super-Resolution paperObject Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt Optimization paperPrompt Compression via Activation Aggregation paperParameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening paperPartition, Prompt, Aggregate: Statistical Self-Consistency in Language Models paperBayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC paperLenGuard-GPC: Length Guarding with Guided-Prompt Consistency for Spatial Reasoning Reinforce Learning paperPrompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models paperPGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation paperPC-Edit: Prompt-Contrastive Region Discovery and Region-Guided Editing paperPrompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation paperZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models paperTowards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach paperDSPrompt: Dynamic Soft Prompt Defense Against M-RAG Corruption paperBayesPrompt: human readable prompts that make sense

Covers (incoming)

newsLiquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models - MarkTechPost

Implements (incoming)

paperPrompting Complexity: Shortest Prompts for Texts and Behaviors in LLMs

Related across the graph

paperSimon-SR: Spatially Adaptive Modulation and Visual Prompt Adaptation for Text-Reinforced Super-Resolution personrj-chao-li paperObject Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt Optimization paperTowards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach personfix2015 paperBayesPrompt: human readable prompts that make sense newsLiquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models - MarkTechPost paperPC-Edit: Prompt-Contrastive Region Discovery and Region-Guided Editing paperParameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening newsPrompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers paperPrompting Complexity: Shortest Prompts for Texts and Behaviors in LLMs personxlqmbh personwangyong1997 persongoogle-labs-jules[bot]paperZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models paperPrompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation personNeclode newsGallagher: AI as a force multiplier for trusted advisors – better insight, faster decisions, stronger results - Microsoft paperPGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation paperPrompt Compression via Activation Aggregation personcdk8s-zelda paperPrompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models paperLenGuard-GPC: Length Guarding with Guided-Prompt Consistency for Spatial Reasoning Reinforce Learning personximiximi423 paperBayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC toolPromptLab personOPBR personyaominghua1981 personzzzhouuu personSamCheng0717 personRidter personhexart personmrzzcn paperDSPrompt: Dynamic Soft Prompt Defense Against M-RAG Corruption personwenyuanw personocto-patch paperPartition, Prompt, Aggregate: Statistical Self-Consistency in Language Models personAdijeShen personagent-kira news"Repeat the text above this line" still works on most AI agents in production. Here's what we found.personKanTakahiro personSuperDuckGOGOGO personSu-u-un newsWhat's one thing AI does surprisingly well that you didn't expect?personlinshenkx personsalmanmkc personprazjain

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