Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle | Paper Citation Record

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This paper cites Can large language models truly understand prompts? A case study with negated prompts,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Can large language models truly understand prompts? A case study with negated prompts,

Reference 1

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This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT,

Reference 2

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle The prompt report: A systematic survey of prompting techniques,

Reference 3

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This paper cites A survey of DevOps concepts and challenges,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A survey of DevOps concepts and challenges,

Reference 4

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Continuous integration

Reference 5

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This paper cites The agile manifesto,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle The agile manifesto,

Reference 6

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Humble and D

Reference 7

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Continuous delivery: Huge benefits, but challenges too,

Reference 8

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This paper cites Dustin, J.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Dustin, J

Reference 9

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Gregory and L

Reference 10

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Cohn, Succeeding with agile: software development using Scrum

Reference 11

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This paper cites A Survey of Large Language Models,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A Survey of Large Language Models,

Reference 12

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This paper cites Learning to control fast-weight memories: An alternative to dynamic recurrent networks,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Learning to control fast-weight memories: An alternative to dynamic recurrent networks,

Reference 13

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Neural machine translation by jointly learning to align and translate,

Reference 14

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This paper cites Attention is all you need,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Attention is all you need,

Reference 15

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Long short-term memory,

Reference 16

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This paper cites Improving language understanding by generative pre-training,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Improving language understanding by generative pre-training,

Reference 17

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Language models are unsupervised multitask learners,

Reference 18

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Language models are few-shot learners,

Reference 19

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This paper cites Training language models to follow instructions with human feedback,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Training language models to follow instructions with human feedback,

Reference 20

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle LLaMA: Open and Efficient Foundation Language Models

Reference 21

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 22

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Training Compute-Optimal Large Language Models

Reference 23

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Textbooks Are All You Need

Reference 24

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This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 25

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Russell and P

Reference 26

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This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 27

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A survey on large language model based autonomous agents,

Reference 28

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This paper cites LLM Powered Autonomous Agents.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle LLM Powered Autonomous Agents

Reference 29

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This paper cites A Comprehensive Overview of Large Language Models.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A Comprehensive Overview of Large Language Models

Reference 30

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This paper cites Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Reference 31

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle React: Synergizing reasoning and acting in language models,

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 33

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Bleu: a method for automatic evaluation of machine translation,

Reference 34

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Recall oriented understudy of gisting evaluation,

Reference 35

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This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 36

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Benchmarking LLM powered Chatbots: Methods and Metrics

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle The power of Generative AI: A review of requirements, models, input–output formats, evaluation metrics, and challenges,

Reference 38

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Modern Question Answering Datasets and Benchmarks: A Survey

Reference 39

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Survey of hallucination in natural language generation,

Reference 40

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Retrieval Augmentation Reduces Hallucination in Conversation

Reference 41

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Hallucination is inevitable: An innate limitation of large language models,

Reference 42

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle LLMs Will Always Hallucinate, and We Need to Live With This,

Reference 43

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Universal and Transferable Adversarial Attacks on Aligned Language Models

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A comprehensive study of jailbreak attack versus defense for large language models,

Reference 45

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning,

Reference 46

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A survey on evaluation of large language models,

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Software Testing of Generative AI Systems: Challenges and Opportunities,

Reference 48

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Continuous integration of machine learning models with ease.ml/ci: Towards a rigorous yet practical treatment,

Reference 49

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Machine learning operations (MLOps): Overview, definition, and architecture,

Reference 50

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This paper cites Hidden technical debt in machine learning systems,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Hidden technical debt in machine learning systems,

Reference 51

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Large Language Model Operations (LLMOps): Definition, Challenges, and Lifecycle Management,

Reference 52

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This paper cites On the Opportunities and Risks of Foundation Models.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle On the Opportunities and Risks of Foundation Models

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Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 54

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Observation 27b8839d-dc3b-4c25-805a-8365dc9eaf5e · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 55

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Unavailable: canonical work link unavailable.

Observation 460c496f-006d-45b9-bfab-1d1c75bb766f · outbound

This paper cites Judging LLM-as-a-judge with mt-bench and chatbot arena,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Judging LLM-as-a-judge with mt-bench and chatbot arena,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:17.587381Z

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Observation 91b577b7-7f72-44ba-92cb-c51d58cbf01e · outbound

This paper cites Sequel: A structured english query language,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Sequel: A structured english query language,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:17.576298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48970021-d76c-41f8-9100-88be6dedb7be · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:17.565180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0939e63f-328f-4645-acd7-6c0806f05b06 · outbound

This paper cites Billion-scale similarity search with GPUs,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Billion-scale similarity search with GPUs,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:17.553678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9fda2aff-9fac-455c-a828-f95682f2dfc2 · outbound

This paper cites A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:17.165625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82938c2b-39db-4adb-b4c4-dfc49088a089 · outbound

This paper cites Apple intelligence foundation language models,.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Apple intelligence foundation language models,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:17.169468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f17c13b5-ff0c-4828-bac4-9811f3c2be4d · outbound

This paper cites What are the names and salaries of employees in the Marketing department?.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle What are the names and salaries of employees in the Marketing department?

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:17.541891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb421e56-e8df-4d24-8c68-c64a3ad6f5f0 · outbound

This paper cites List all employees in the Engineering department.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle List all employees in the Engineering department

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:17.528482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e67e503-7ab1-400c-ace3-f32e12a6b075 · outbound

This paper cites an unresolved cited work.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:55:17.515948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b35672b5-b655-40b5-9e69-93b924bc059e · outbound

This paper cites an unresolved cited work.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:55:17.504392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80768e8b-4cbc-40c1-bce1-425a25c3a02f · outbound

This paper cites an unresolved cited work.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:55:17.492575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72e4537a-3829-47eb-84f7-bed194328f02 · outbound

This paper cites " " You a r e a h e l p f u l r e s t a u r a n t a g e n t f o r t h e r e s t a u r a n t.

Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle " " You a r e a h e l p f u l r e s t a u r a n t a g e n t f o r t h e r e s t a u r a n t

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:17.481294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers