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Paper Citation Record · LEDGER

Energy Considerations of Large Language Model Inference and Efficiency Optimizations

As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 11 inbound Pith citation observations for arXiv:2504.17674.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.17674 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:51.568170Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:00.675817Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T06:37:43.416980Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b11a766-9a60-4f23-82a4-606bc0c5d8fc · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4e77e48c-9aee-46b1-bb8f-ccb511ac0416 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8e2838c2-bfbd-463a-8d55-e2a1a3813ba6 · outbound

This paper cites Qwen Technical Report.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Qwen Technical Report

Reference 3

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no resolver link, observed 2026-08-16T10:37:51.204327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:37:51.204327Z digest=sha256:3bd9b6404b059dc72e09541adef76f9e8aa0de55330f6448f3cb6041751893e3

Observation 1223899b-5265-461f-8b25-3d2f63852213 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c51d8b24-9e74-4e4b-9533-e2cbd2b80174 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-16T10:37:51.214747Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T10:37:51.214747Z digest=sha256:abbff212c67b277ae2abdb991ad398129df59b80208c6488350715a104061279

Observation d38d5350-6230-4471-a3c6-6fa50212eaed · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:37:51.219667Z digest=sha256:47a80de43fa325f310ef0fea0ffc0b7803ba40a7cd8f0133c0047e08d12f9a85

Observation e256b8ca-44dc-40ec-9205-cc596e94def9 · outbound

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

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Accelerating Large Language Model Decoding with Speculative Sampling

Reference 7

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no resolver link, observed 2026-08-16T10:37:51.225134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:37:51.225134Z digest=sha256:f940ba667b9ff83d48dcb729fed449a2ef4d1cf7e4083261fd1fad0faf2cbe49

Observation 54b405b9-9b62-4924-b4a7-9cb91b7cbec4 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 32c5c017-c5ac-4951-a5db-43c3de08bf60 · outbound

This paper cites de Araújo, JPW, and MinervaBooks.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations de Araújo, JPW, and MinervaBooks

Reference 9

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source=arxiv_source observed=2026-08-16T10:37:51.235991Z digest=sha256:5510391cfba35c31bbb28cc22b5c7346bec182a9710aaae2a71e7637b4059400

Observation 04130b19-0455-497d-a052-6792aa5599c4 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d116a99c-2cac-4b5a-b87f-9487b73d77cb · outbound

This paper cites The Llama 3 Herd of Models.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations The Llama 3 Herd of Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:37:51.245402Z digest=sha256:abab2a1d4b3d018b93e8a52ba68d880dfcfd0f8cb90daa56cb2370fc8db8a3a3

Observation 5d24d21b-8fac-411a-963c-74feaf08ad24 · outbound

This paper cites LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Reference 12

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source=arxiv_source observed=2026-08-16T10:37:51.250427Z digest=sha256:ca2f94322795b720ed79e8ed61bec26238c43cfc96593d65e8542501f853f3c8

Observation ad032c4a-b4d4-4840-86d8-aec98535863d · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e3cc45a6-8a55-4618-8980-88d1b4550ddd · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 81cbc995-a199-4494-bbb0-f5133274e015 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f9abf2f3-037b-463c-b004-a8cbb61f4ea1 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations OLMo: Accelerating the Science of Language Models

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:37:51.270039Z digest=sha256:76386c1a523a7563f39b4bec9ab6cf46689e75452ba0f068ec2bfa3c22337bf4

Observation c2c58e61-2e03-4a1b-a95d-5a4881451ca6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

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Observation 2992b518-f960-43c1-a34e-2916eac44544 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 954b0c55-78ac-4f15-b647-fc216ed783ee · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bf6c3642-0186-4435-b55d-722f9b250a04 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation be9f0888-bd88-48e1-882d-5a2fb99002da · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Gonzalez, Hao Zhang, and Ion Stoica

Reference 21

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source=arxiv_source observed=2026-08-16T10:37:51.293912Z digest=sha256:f5893bb749910bb3521a5fde7861837e2cb154bb5f29f139584d285f985d53d6

Observation 8675a9e0-df57-4648-99a1-73f40bc6d91f · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 22

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Observation 6973f555-fae5-4e10-be64-9477aef18535 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 23

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Observation 99382f6a-8077-4799-a04b-da5d4699418b · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:37:51.308426Z digest=sha256:3afd169b370cef26f9d5e9d41577fc374236e0de2357c06c6d1d7eca7aabba34

Observation d0ed7826-31d2-4fc5-9247-34b2ce360feb · outbound

This paper cites Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models

Reference 25

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Source-reported events for the cited work

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Observation 26cfb5fa-9094-4717-bf78-5938c65aca00 · outbound

This paper cites PyTorch Distributed: Experiences on Accelerating Data Parallel Training.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Reference 26

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Unavailable: canonical work link unavailable.

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Observation 9255cc71-70f5-4e28-ba1a-dc23c44dc0fa · outbound

This paper cites TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving Goodput.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving Goodput

Reference 27

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no resolver link, observed 2026-08-16T10:37:51.323537Z

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Observation ff4c1276-3192-4dc6-bed2-b1e2c651afc0 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 28

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Unavailable: canonical work link unavailable.

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Observation b7f9f066-e762-421e-b017-dc783e5f70ce · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 044a4ebf-a0da-493a-9e5f-f3e66f45bc5e · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 30

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Observation cc9d7cf3-6dfc-43b7-9b2d-ad6a2c160db1 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:37:51.343909Z digest=sha256:e3cbee55c449a62677f281c74f5bdf117a46c53d03354bfc8b6ed19e8b398885

Observation 8534a4c9-05b5-4373-8991-fa82c8880b8a · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 805a7873-0a36-4623-b98f-5202c7ba45e8 · outbound

This paper cites Pointer Sentinel Mixture Models.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Pointer Sentinel Mixture Models

Reference 33

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Observation 871b2b91-a251-43e6-a385-4685271997d0 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 17b8f8b0-8f19-4a3c-800e-b74552d87189 · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations OLMoE: Open Mixture-of-Experts Language Models

Reference 35

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Unavailable: canonical work link unavailable.

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Observation 45537fe5-2a19-4d01-83c1-e6743bb66560 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 36

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Unavailable: canonical work link unavailable.

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Observation b28f9e3e-f5a7-4600-acae-c7c7518cdcaf · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:37:51.389183Z digest=sha256:f47264e32e7d2e969e4bbe22931a1b427642d0eb43d85043f2b4b10fe74a6f54

Observation 52df6c16-fa65-4139-9d7d-7aa8bb4e8697 · outbound

This paper cites 2 OLMo 2 Furious.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations 2 OLMo 2 Furious

Reference 38

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Observation f76f9c8f-30c7-450a-b9a2-558e28cb79e7 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 39

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Observation 626f5afc-64cd-4d79-a383-4e6d9e50f576 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

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Observation 82d36212-7962-42f0-9ce7-5f1282cffbb4 · outbound

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

Energy Considerations of Large Language Model Inference and Efficiency Optimizations The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 41

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Observation 8454e343-6748-4112-a869-be5b1beb2d8c · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Compressive Transformers for Long-Range Sequence Modelling

Reference 42

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Observation 19917793-a09e-4723-b2ca-4723ccb70d21 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 43

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Observation 48a94da0-740c-4e53-969d-13c40f03ed59 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

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Observation f3d010bb-ef7e-4cae-b33e-fadb1e525c06 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 46

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Observation 25e329f0-a30c-48b0-b978-3237bf50ac20 · outbound

This paper cites GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions

Reference 47

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Observation 34e1c5ae-9331-4a50-9291-96627a2b609b · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

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Observation 3ea540ae-db10-4a80-8b41-8bd7fbc78524 · outbound

This paper cites Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference

Reference 49

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Observation 67e80f83-072d-4833-9ffc-22c05fa14d94 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

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Observation f9c141b9-e954-4c3a-8a74-1424f87f5c56 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

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Observation 1fececbd-cb76-49d0-9ded-93eb797639a9 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 52

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Observation 8ed1a345-b4ac-400f-bee9-f55e2e36dfd2 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems

Reference 53

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Observation 6dc148d3-998d-4169-a3f7-22da7866c5e9 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 54

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Observation 48909894-0c2d-46a2-81d8-38c43579e8c1 · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 55

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Observation db9ba1f9-900a-4fbf-822e-772281dbc6ec · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 56

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Observation 3e5cb374-7a99-4411-9060-57e72f82072f · outbound

This paper cites Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

Reference 57

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Observation d10d8f38-1c8e-4409-9fa1-b4e449552740 · outbound

This paper cites Qwen2.5 Technical Report.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Qwen2.5 Technical Report

Reference 58

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Observation bc4598db-2318-4da4-a862-bc41728c8bc3 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 59

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Observation df32f1a1-d235-4b96-8056-cb5af480227f · outbound

This paper cites an unresolved cited work.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 60

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Observation 41d99840-83e0-4835-b054-6c7b739d9f11 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations online" 'onlinestring :=

Reference 61

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Observation 354ccb25-6688-44b3-9f4d-dadfecf9cba4 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations write newline

Reference 62

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Observation 64e5d590-4dd2-48a5-9880-b9e1e2f4cd67 · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations @esa (Ref

Reference 63

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Observation e0958990-9d1a-43c7-88fd-aea00a0151ed · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unresolved cited work

Reference 64

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Observation 23b25463-0995-4586-88d5-e9e69d0c94ac · outbound

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Energy Considerations of Large Language Model Inference and Efficiency Optimizations Prior benchmarking efforts have primarily focused on latency reduction in idealized settings, often overlooking the diverse real-world inference workloads that shape energy use

Reference 65

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Pith citing papers

Observation f6ef9b75-2a1c-41b8-abfb-c2d8948ced19 · inbound

Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models cites this paper.

Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 9

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Observation 2659cf1c-2787-4e2f-b3c1-45c1bc773db3 · inbound

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SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 8

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Observation 1585c774-c5da-4d80-9733-b2db6a8435b2 · inbound

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters cites this paper.

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 23

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Observation 54102425-09cb-4d7c-8149-94895f42528c · inbound

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint cites this paper.

From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 35

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Identifying unique developers in OSS projects: A family of models Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 125

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Observation fa3fb8af-56a6-4efd-961a-ea73c076ad4e · inbound

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot cites this paper.

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 67

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 64499b51-b0ab-41a1-9a5d-c39db4eee2ae · inbound

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SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 2

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arxiv_id, observed 2026-07-02T18:57:16.343774Z

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Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 7

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Observation c2a4c417-3b9e-4945-a8d9-79410dab9447 · inbound

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations cites this paper.

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 36

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Observation 0d5f2d1e-6e17-471a-a9aa-c581c8b6c019 · inbound

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations cites this paper.

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 36

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Observation 864d0f73-d741-404a-a78c-ab3b0ebe7e00 · inbound

Unified Static-Dynamic Pruning for Efficient LLM Inference cites this paper.

Unified Static-Dynamic Pruning for Efficient LLM Inference Energy Considerations of Large Language Model Inference and Efficiency Optimizations

Reference 17

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