Addressing the sustainable AI trilemma: a case study on LLM agents and RAG | Paper Citation Record

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This paper cites The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

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This paper cites Reducing the Carbon Impact of Generative AI Inference (today and in 2035).

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Reducing the Carbon Impact of Generative AI Inference (today and in 2035)

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots

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This paper cites Triple Bottom Line or Trilemma? Global Tradeoffs Between Prosperity, Inequality, and the Environment.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Triple Bottom Line or Trilemma? Global Tradeoffs Between Prosperity, Inequality, and the Environment

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

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG The Rise and Potential of Large Language Model Based Agents: A Survey

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Chatgpt needs spade (sustainability, privacy, digital divide, and ethics) evaluation: A review

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

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This paper cites The AI trilemma: Saving the planet without ruining our jobs.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG The AI trilemma: Saving the planet without ruining our jobs

Reference 9

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Challenging AI for Sustainability: what ought it mean?

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Quantifying the Carbon Emissions of Machine Learning

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Green Algorithms: Quantifying the Carbon Footprint of Computation

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Whose ChatGPT? Unveiling Real-World Educational Inequalities Introduced by Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Examining Potential Harms of Large Language Models (LLMs) in Africa

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Understanding the planning of LLM agents: A survey

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLM With Tools: A Survey

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG A Survey on the Memory Mechanism of Large Language Model based Agents

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Sustainable LLM Serving: Environmental Implications, Challenges, and Opportunities : Invited Paper

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Measuring and Improving the Energy Efficiency of Large Language Models Inference

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG When Large Language Models Meet Vector Databases: A Survey

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG SCM: Enhancing Large Language Model with Self-Controlled Memory Framework

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Memorybank: Enhancing large language models with long-term memory

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Prompted LLMs as Chatbot Modules for Long Open-domain Conversation

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG MemGPT: Towards LLMs as Operating Systems

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG RET-LLM: Towards a General Read-Write Memory for Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Self-Knowledge Guided Retrieval Augmentation for Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Measuring and Narrowing the Compositionality Gap in Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Precise Zero-Shot Dense Retrieval without Relevance Labels

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LangChain MultiQueryRetriever Documentation

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Query Rewriting in Retrieval-Augmented Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG The probabilistic relevance framework: BM25 and beyond

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Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 53

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This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.833093Z

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Unavailable: canonical work link unavailable.

Observation 76faf528-d026-4ae7-987b-6ece6b6d6f36 · outbound

This paper cites Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.837898Z

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Unavailable: canonical work link unavailable.

Observation 35e6d91e-2914-4031-8023-f361536eacb8 · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.826713Z

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Observation 4c11f225-a290-4277-b463-f69255be22ba · outbound

This paper cites Improving Passage Retrieval with Zero-Shot Question Generation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Improving Passage Retrieval with Zero-Shot Question Generation

Reference 57

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Unavailable: canonical work link unavailable.

Observation 9cbf4ebb-ab44-46f3-b3d8-29ae793e77dd · outbound

This paper cites RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.850708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b512612a-43a3-4214-a307-fe42a9e6f753 · outbound

This paper cites Compressing Context to Enhance Inference Efficiency of Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.855472Z

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Unavailable: canonical work link unavailable.

Observation 32469f6b-cb2d-49f3-b768-e031bb9cdc87 · outbound

This paper cites Holistic Evaluation of Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Holistic Evaluation of Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.841850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff3d861-2558-44ac-9206-302d939099e4 · outbound

This paper cites PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.846138Z

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Unavailable: canonical work link unavailable.

Observation 25323492-7070-4291-afb8-c02f21d2a884 · outbound

This paper cites Evaluation of Retrieval-Augmented Generation: A Survey.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Evaluation of Retrieval-Augmented Generation: A Survey

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.866124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a88057-0b18-4d5d-b156-6ec7ef58d0e8 · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.871277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b42b6be-e6f7-43dc-bd46-68648dccc2f4 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.859209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3aa15e-7e27-4612-83b7-1de9e17b536b · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.862327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4b699e-d933-455c-8181-65b2a64d4aef · outbound

This paper cites Ai arxiv dataset.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Ai arxiv dataset

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.245221Z

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Observation 5a5c5566-5d98-4666-8e34-3afa3871f474 · outbound

This paper cites ARAGOG: Advanced RAG Output Grading.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG ARAGOG: Advanced RAG Output Grading

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.888336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5f26cf-0b79-4a0b-aec4-dd8ee0aeb915 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.875760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93de9640-b27c-4604-aba5-39bf971a1139 · outbound

This paper cites MuSiQue: Multihop Questions via Single-hop Question Composition.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG MuSiQue: Multihop Questions via Single-hop Question Composition

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.257073Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation adafa292-fbbf-410e-a5ab-baa49b8263eb · outbound

This paper cites Powercap Linux Kernel Interface.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Powercap Linux Kernel Interface

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.206539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9bc58800-eace-4097-966d-493b1f166f8b · outbound

This paper cites NVIDIA Management Library (NVML) Python Bindings.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG NVIDIA Management Library (NVML) Python Bindings

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.195638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 48fd9dea-a5d7-4681-b435-0cbdfd9672ed · outbound

This paper cites "UpTrain".

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG "UpTrain"

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.233310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1643050b-4d3f-457a-8ff5-2e881f1be727 · outbound

This paper cites ROUGE: A Package for Automatic Evaluation of Summaries.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG ROUGE: A Package for Automatic Evaluation of Summaries

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.218706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4c752991-19c4-4520-8fc3-e6c19ac6ca6a · outbound

This paper cites LlamaIndex.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LlamaIndex

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.184635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 27ba384f-6a1a-4980-aa59-32e4d72d6d50 · outbound

This paper cites Searching for best practices in retrieval-augmented generation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Searching for best practices in retrieval-augmented generation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.172375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae0e295f-dde8-4528-9278-a3c13c4bf4d4 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.820447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36daebe2-8f27-449a-814d-24b40e8aae63 · outbound

This paper cites Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:34:35.680096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Reference resolution

Outbound references

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