A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems | Paper Citation Record

Observation a4aef305-d890-43a3-b3af-249a3bb3f364 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 1

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This paper cites Large language models for software engineering: A systematic literature review,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Large language models for software engineering: A systematic literature review,

Reference 2

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This paper cites Program Synthesis with Large Language Models.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Program Synthesis with Large Language Models

Reference 3

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This paper cites Language models can solve computer tasks,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Language models can solve computer tasks,

Reference 4

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This paper cites A survey on large language model based autonomous agents,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems A survey on large language model based autonomous agents,

Reference 5

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This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 6

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This paper cites BloombergGPT: A Large Language Model for Finance.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems BloombergGPT: A Large Language Model for Finance

Reference 7

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This paper cites Chatgpt for design, manufacturing, and education,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Chatgpt for design, manufacturing, and education,

Reference 8

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Observation 7b1f97ea-c5fe-466d-b8f3-89a00eb37e1f · outbound

This paper cites Embodied intelligence in manufactur- ing: leveraging large language models for autonomous industrial robotics,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Embodied intelligence in manufactur- ing: leveraging large language models for autonomous industrial robotics,

Reference 9

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This paper cites Reconceptualizing chatgpt and generative ai as a student-driven innovation in higher education,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Reconceptualizing chatgpt and generative ai as a student-driven innovation in higher education,

Reference 10

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Observation 0a3c849a-a2c3-49b0-aa50-43f286a16e02 · outbound

This paper cites Automatic generation of programming exercises and code explanations using large language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Automatic generation of programming exercises and code explanations using large language models,

Reference 11

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This paper cites Autonomous chemical research with large language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Autonomous chemical research with large language models,

Reference 12

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This paper cites Large language models in medicine,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Large language models in medicine,

Reference 13

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This paper cites Mathematical discoveries from program search with large language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Mathematical discoveries from program search with large language models,

Reference 14

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

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 15

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This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 16

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

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Improving language understanding by generative pre-training,

Reference 17

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Observation c06f6a66-dfeb-4007-837f-4f627fe3f610 · outbound

This paper cites Larger and more instructable language models become less reliable,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Larger and more instructable language models become less reliable,

Reference 18

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This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 19

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This paper cites Are chatgpt and gpt-4 general- purpose solvers for financial text analytics? a study on several typical tasks,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Are chatgpt and gpt-4 general- purpose solvers for financial text analytics? a study on several typical tasks,

Reference 20

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This paper cites Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?

Reference 21

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This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems An Explanation of In-context Learning as Implicit Bayesian Inference

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This paper cites Structured information extraction from complex scientific text with fine-tuned large language models.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Structured information extraction from complex scientific text with fine-tuned large language models

Reference 23

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This paper cites Overcoming catastrophic forgetting in neural networks,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Overcoming catastrophic forgetting in neural networks,

Reference 24

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This paper cites On context-free languages,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems On context-free languages,

Reference 25

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This paper cites Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search

Reference 26

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This paper cites Foundational challenges in assuring alignment and safety of large language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Foundational challenges in assuring alignment and safety of large language models,

Reference 27

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This paper cites Emergent abilities of large language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Emergent abilities of large language models,

Reference 28

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This paper cites Model evaluation for extreme risks.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Model evaluation for extreme risks

Reference 29

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This paper cites How FaR Are Large Language Models From Agents with Theory-of-Mind?.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems How FaR Are Large Language Models From Agents with Theory-of-Mind?

Reference 30

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A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Unresolved cited work

Reference 31

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This paper cites Richards, Software architecture patterns.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Richards, Software architecture patterns

Reference 32

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A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems TCP/IP tutorial,

Reference 33

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This paper cites The subjects and stages of ai dataset development: A framework for dataset accountability,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems The subjects and stages of ai dataset development: A framework for dataset accountability,

Reference 34

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This paper cites The art and practice of data science pipelines: A compre- hensive study of data science pipelines in theory, in-the-small, and in-the-large,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems The art and practice of data science pipelines: A compre- hensive study of data science pipelines in theory, in-the-small, and in-the-large,

Reference 35

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This paper cites Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes,

Reference 36

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Observation 8ee2a940-61e9-459c-8ecf-8d5c5a27b261 · outbound

This paper cites Attention is all you need,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Attention is all you need,

Reference 37

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This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,

Reference 38

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This paper cites Mixture-of-experts with expert choice routing,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Mixture-of-experts with expert choice routing,

Reference 39

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

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Improving language understanding by generative pre-training

Reference 40

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 41

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This paper cites Language models are unsupervised multitask learners,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Language models are unsupervised multitask learners,

Reference 42

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This paper cites Instruction tuning for large language models: A survey,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Instruction tuning for large language models: A survey,

Reference 43

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This paper cites Direct preference optimization: Your language model is secretly a reward model,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Direct preference optimization: Your language model is secretly a reward model,

Reference 44

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

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Training language models to follow instructions with human feedback,

Reference 45

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This paper cites Constitutional AI: Harmlessness from AI Feedback.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Constitutional AI: Harmlessness from AI Feedback

Reference 46

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This paper cites Toolformer: Language models can teach themselves to use tools,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Toolformer: Language models can teach themselves to use tools,

Reference 47

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This paper cites Chain-of- thought prompting elicits reasoning in large language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Chain-of- thought prompting elicits reasoning in large language models,

Reference 48

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This paper cites Monte-carlo tree search as regularized policy optimization,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Monte-carlo tree search as regularized policy optimization,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:44.076038Z

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This paper cites Quiet-STar: Language models can teach themselves to think before speaking,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Quiet-STar: Language models can teach themselves to think before speaking,

Reference 50

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Observation 0f33c5fe-19e4-4e6f-a46e-1ab241c20a58 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems LoRA: Low-Rank Adaptation of Large Language Models

Reference 51

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This paper cites Hierarchical neural story generation,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Hierarchical neural story generation,

Reference 52

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Observation 41283c5f-3530-4a9a-b83a-0b5aa0dc4607 · outbound

This paper cites The curious case of neural text degen- eration,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems The curious case of neural text degen- eration,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.957515Z

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Observation 07bb9720-e95e-4e2f-a7b1-457cdb349493 · outbound

This paper cites Beam search strategies for neural machine translation,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Beam search strategies for neural machine translation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.890292Z

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This paper cites Fast inference from transformers via speculative decoding,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Fast inference from transformers via speculative decoding,

Reference 55

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Observation bc1f0a8b-666c-4f05-b523-5588b3e55798 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Accelerating Large Language Model Decoding with Speculative Sampling

Reference 56

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This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T17:38:41.651168Z

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This paper cites Efficient memory management for large language model serving with pagedattention,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Efficient memory management for large language model serving with pagedattention,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.750072Z

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Observation 48c88270-86e8-4651-9b7c-58775dda4a66 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Flashattention: Fast and memory-efficient exact attention with io-awareness,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.620646Z

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Observation 98bedbf5-bc7e-48c4-a7e1-55c5c71294a9 · outbound

This paper cites Scaling Laws for Precision.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Scaling Laws for Precision

Reference 60

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This paper cites Deepspeed-inference: enabling efficient inference of transformer mod- els at unprecedented scale,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Deepspeed-inference: enabling efficient inference of transformer mod- els at unprecedented scale,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.588432Z

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This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 62

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

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 63

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This paper cites Large language models are zero-shot reasoners,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Large language models are zero-shot reasoners,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.369301Z

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Observation d99b0f40-e895-4c92-ac51-0b3172be5bff · outbound

This paper cites Unsupervised commonsense question answering with self-talk,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Unsupervised commonsense question answering with self-talk,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.351319Z

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This paper cites Language Models are Few-Shot Learners.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Language Models are Few-Shot Learners

Reference 66

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Observation 258eadec-361a-4eba-bffa-e48c941b2ad3 · outbound

This paper cites Active Retrieval Augmented Generation.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Active Retrieval Augmented Generation

Reference 67

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Observation 0617f8b6-0571-41f7-b5b1-b91133d4c880 · outbound

This paper cites Knowing When to Ask -- Bridging Large Language Models and Data.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Knowing When to Ask -- Bridging Large Language Models and Data

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T17:38:41.850545Z

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This paper cites React: Synergizing reasoning and acting in language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems React: Synergizing reasoning and acting in language models,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.239650Z

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Observation 4ad5bde6-a2d3-4c85-bf65-4d748c3f1f1b · outbound

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A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Reflexion: Language agents with verbal reinforcement learning,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.102386Z

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Observation f1cf4417-677e-4db4-a0d3-833ba6d00c86 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 71

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Observation 6ac6881f-947a-4397-b33a-6a058dc4bb9a · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Tree of thoughts: Deliberate problem solving with large language models,

Reference 72

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Observation 35484ae9-0b87-40e7-879f-0a4078f5372b · outbound

This paper cites Benchmarking large language models as ai research agents,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Benchmarking large language models as ai research agents,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:43.072044Z

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Observation 5f061e83-dd5a-4c03-ba3a-23b8a1f63ced · outbound

This paper cites Efficient attention: Attention with linear com- plexities,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Efficient attention: Attention with linear com- plexities,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:42.893248Z

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Observation c4953d30-6b69-4364-8b5a-1cae59400948 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Roformer: Enhanced transformer with rotary position embedding,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T17:38:42.099412Z

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Observation 31265ce9-8062-4deb-8e64-dde7d0369d3e · outbound

This paper cites Llmlingua: Compressing prompts for accel- erated inference of large language models,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Llmlingua: Compressing prompts for accel- erated inference of large language models,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:42.861408Z

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Observation 50cf029a-fc21-41c9-b2f6-7a1f17930b25 · outbound

This paper cites A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T17:38:42.108033Z

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Observation 65490d8b-cf0d-44ae-9857-9ce3858c437e · outbound

This paper cites Towards responsible ai in the era of generative ai: A reference architecture for designing foundation model based systems,.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Towards responsible ai in the era of generative ai: A reference architecture for designing foundation model based systems,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:38:42.794943Z

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Observation 6cb1f591-275b-4783-b578-ee440f9a4a59 · outbound

This paper cites Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T17:38:42.117577Z

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Observation 086f361b-0b29-4431-8bfd-4eb77e481f82 · outbound

This paper cites Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T17:38:42.122613Z

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Observation 2cf42acd-ec6d-4f65-94d7-621b5f1f0d74 · outbound

This paper cites From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T17:38:42.147729Z

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