repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
KennispuntTwente/tidyprompt
R package to easily construct prompts and associated logic for interacting with large language models (‘LLMs’)
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) · 55%Joint Learning of Experiential Rules and Policies for Large Language Model Agents →
- PossiblePossibly related (embedding) · 53%When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue →
- PossiblePossibly related (embedding) · 53%Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action →
- PossiblePossibly related (embedding) · 53%IEEE Rolls Out Large Language Models Virtual Training Course →
- PossiblePossibly related (embedding) · 50%Clinical drug report generation using multi-phase prompt large language models - Nature →
- PossiblePossibly related (embedding) · 55%Prompting Complexity: Shortest Prompts for Texts and Behaviors in LLMs →
- PossiblePossibly related (embedding) · 51%J-Wash: A novel way to brainwash and customize large language models based on Anthropic's Jacobian-Lens! →
- PossiblePossibly related (embedding) · 51%LLMs Can See the Smoke but not the Fire: Evaluating Abductive Reasoning with Elenchos →
Implements
paperJoint Learning of Experiential Rules and Policies for Large Language Model AgentspaperWhen the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented DialoguepaperTheory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action
Covers
Implements (incoming)
paperPrompting Complexity: Shortest Prompts for Texts and Behaviors in LLMspaperLLMs Can See the Smoke but not the Fire: Evaluating Abductive Reasoning with ElenchospaperFrom Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14bpaperEvaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversations
Covers (incoming)
Related across the graph
paperEvaluating Large Language Models on Misconceptions in Multi-Turn Medical ConversationsnewsClinical drug report generation using multi-phase prompt large language models - NaturepaperPrompting Complexity: Shortest Prompts for Texts and Behaviors in LLMspaperJoint Learning of Experiential Rules and Policies for Large Language Model AgentsnewsPrompt-engineering paper accepted to ICML [R]paperFrom Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14bnewsIEEE Rolls Out Large Language Models Virtual Training CoursepaperTheory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and ActionnewsJ-Wash: A novel way to brainwash and customize large language models based on Anthropic's Jacobian-Lens!paperLLMs Can See the Smoke but not the Fire: Evaluating Abductive Reasoning with ElenchospaperWhen the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue