MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs | Paper Citation Record

Observation 2711cb4d-48f0-45d5-8f1d-41db4681f6ba · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 1

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Observation 61231745-9146-4872-8648-8c4d998089af · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs OPT: Open Pre-trained Transformer Language Models

Reference 2

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Observation b528aff6-83ff-4d0f-947c-b574f8f67500 · outbound

This paper cites Mistral 7B.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Mistral 7B

Reference 3

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Observation 5975ee0b-9d9b-4c2b-9a14-37de33e22b10 · outbound

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

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Chain-of-thought prompting elicits reasoning in large language models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:14.259595Z

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Observation 71005e53-b7b5-4f39-bf41-dfa43fa01c8d · outbound

This paper cites Gptq: Ac- curate post-training quantization for generative pre-trained trans- formers,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Gptq: Ac- curate post-training quantization for generative pre-trained trans- formers,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:14.112990Z

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Observation 44da0740-5f0d-427b-8660-fa8073d4842f · outbound

This paper cites Awq: Activation-aware weight quantization for llm compression and acceleration,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Awq: Activation-aware weight quantization for llm compression and acceleration,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:13.966042Z

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Observation 646ab0f3-2df8-4122-ad71-ac6b228ca72b · outbound

This paper cites SmoothQuant: Accurate and efficient post-training quantization for large language models,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs SmoothQuant: Accurate and efficient post-training quantization for large language models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:13.690586Z

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Observation 40dca34b-8244-42af-b55b-98a5c7703172 · outbound

This paper cites Gpt3.int8(): 8-bit matrix multiplication for transformers at scale,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Gpt3.int8(): 8-bit matrix multiplication for transformers at scale,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:13.416784Z

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Observation 98a687c0-efe6-4e99-98ce-3b2eee773a97 · outbound

This paper cites Optimization-based post-training quantization with bit-split and stitching,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Optimization-based post-training quantization with bit-split and stitching,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:13.251745Z

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Observation 8cc08662-9265-4411-b666-984ca2ff1b50 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Llm-pruner: On the structural pruning of large language models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:13.121687Z

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Observation 0d94868d-6928-4eaf-aea2-68ef7d1c38cd · outbound

This paper cites Fluctuation-based adaptive structured pruning for large language models,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Fluctuation-based adaptive structured pruning for large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.976674Z

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Observation 5aee30b7-0b3d-47cc-9bb8-6bc895773e22 · outbound

This paper cites Slicegpt: Compress large language models by delet- ing rows and columns,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Slicegpt: Compress large language models by delet- ing rows and columns,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.853952Z

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Observation 87c9560b-684e-4005-85a1-5057f36e3357 · outbound

This paper cites Influence function based second-order channel pruning: Evaluating true loss changes for pruning is possible without retraining,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Influence function based second-order channel pruning: Evaluating true loss changes for pruning is possible without retraining,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.751961Z

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Observation 4d94f95d-b4c5-41dd-ba2a-0113879ce618 · outbound

This paper cites Performance-aware approximation of global channel pruning for multitask cnns,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Performance-aware approximation of global channel pruning for multitask cnns,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.662911Z

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Observation 02076452-c250-4522-b7f7-65ad91276e94 · outbound

This paper cites Can language models teach? teacher explanations improve student performance via personal- ization,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Can language models teach? teacher explanations improve student performance via personal- ization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.579244Z

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Observation 76378336-9c00-47a3-94a6-7d7c5cb303e8 · outbound

This paper cites Scott: Self- consistent chain-of-thought distillation,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Scott: Self- consistent chain-of-thought distillation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.466160Z

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Observation 31270c0a-0181-4e1d-b2c1-93b149692940 · outbound

This paper cites Unpacking the gap box against data-free knowledge distillation,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Unpacking the gap box against data-free knowledge distillation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.346068Z

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Observation bcd5bf06-b12d-4824-b826-06001713bdfd · outbound

This paper cites Compressing transformers: Features are low- rank, but weights are not!.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Compressing transformers: Features are low- rank, but weights are not!

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.208051Z

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Observation 1db92442-57a7-4222-9246-382615498f7a · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 19

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Observation 76f4d2c8-cbb9-41b7-8317-4905b7b5f3ef · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:03.896534Z

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Observation a0811fc8-61f7-4195-87b9-1a085b69d673 · outbound

This paper cites Deeptensor: Low-rank tensor decomposition with deep network priors,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Deeptensor: Low-rank tensor decomposition with deep network priors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:12.093647Z

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Observation 92bef79e-3622-4936-a5af-137b043f63c2 · outbound

This paper cites Compressing pre-trained language models by matrix decomposition.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Compressing pre-trained language models by matrix decomposition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:11.961984Z

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Observation bd5e81a5-cca7-4dbf-b83a-a7f8b8ae76e5 · outbound

This paper cites Drone: Data-aware low-rank compression for large nlp models,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Drone: Data-aware low-rank compression for large nlp models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:11.875788Z

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Observation 572563a3-06a7-4ef4-b816-8fea55dc1809 · outbound

This paper cites Lan- guage model compression with weighted low-rank factorization,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Lan- guage model compression with weighted low-rank factorization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:11.768913Z

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Observation 1a52f741-27b3-4031-8bcb-c94cf8dfa24f · outbound

This paper cites Lorap: Transformer sub-layers deserve differentiated structured compression for large language models,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Lorap: Transformer sub-layers deserve differentiated structured compression for large language models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:11.624491Z

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Observation bb627705-85a2-4a3f-8b06-dec49fa1981e · outbound

This paper cites LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:04.421461Z

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Observation 9e49a9e2-0f6e-4c0d-9b5b-13c5af6ee102 · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:04.559289Z

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Observation 2698336d-5baa-4286-a5c8-8b7951a8dd9c · outbound

This paper cites The optimal bert surgeon: Scalable and accurate second-order pruning for large language models,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs The optimal bert surgeon: Scalable and accurate second-order pruning for large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:11.463753Z

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Observation 1f91aeef-e5c4-4e3b-b126-a88ea4d04f9f · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Sparsegpt: Massive language models can be accurately pruned in one-shot,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:11.279651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e8fea30d-7958-4824-9fb6-31abbe02d14e · outbound

This paper cites Pointer Sentinel Mixture Models.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Pointer Sentinel Mixture Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:04.955287Z

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Observation 314282d3-8e15-4068-98b6-e086dafe8137 · outbound

This paper cites Stanford alpaca: An instruction- following llama model,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Stanford alpaca: An instruction- following llama model,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:11.097673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af1a6d62-c46e-4064-925f-fff9ee21f614 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natu- ral yes/no questions,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Boolq: Exploring the surprising difficulty of natu- ral yes/no questions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:10.920024Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c946e15a-b42f-4dc9-b8b0-52cb594f0338 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Piqa: Reasoning about physical commonsense in natural language,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:10.768825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aacf1444-fbb5-4c5b-a7db-d6f5f1ac714d · outbound

This paper cites Hel- laswag: Can a machine really finish your sentence?.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Hel- laswag: Can a machine really finish your sentence?

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:10.577582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70638490-05d0-4b3e-b9cc-43b1b2e5c12f · outbound

This paper cites Wino- grande: An adversarial winograd schema challenge at scale,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Wino- grande: An adversarial winograd schema challenge at scale,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:10.408509Z

Source-reported events for the cited work

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Observation f1e0d004-6b4d-468f-b0c5-d74ddea2596d · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:05.542157Z

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Observation 2cf040ac-cca7-4aef-adde-e096428f3b62 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Can a suit of armor conduct electricity? a new dataset for open book question answering,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:10.245805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9e3c559f-50a1-473c-bfd9-db3032405853 · outbound

This paper cites A framework for few-shot language model evaluation,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs A framework for few-shot language model evaluation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:10.074548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e8e2ad3-33a5-415d-bfb0-26c6632f2d6e · outbound

This paper cites Data-free Weight Compress and Denoise for Large Language Models.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Data-free Weight Compress and Denoise for Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:05.872245Z

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Observation b729450a-a5d9-4770-b194-b360ab4a6c76 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:09.893054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7d5f098-3071-414c-8231-5e36ea782778 · outbound

This paper cites Building a large annotated corpus of english: the penn treebank,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Building a large annotated corpus of english: the penn treebank,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:09.685394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b465b81b-6bc6-4420-aeac-f5418a1e4b21 · outbound

This paper cites Improved baselines with visual instruction tuning,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Improved baselines with visual instruction tuning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:09.533595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 48ce78c6-5d45-4b2f-97f1-060b8ca86f07 · outbound

This paper cites Vicuna: An open- source chatbot impressing gpt-4 with 90%* chatgpt quality,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Vicuna: An open- source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:06.245672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffdb71e9-d520-4bd4-b10a-a9ff51d4860a · outbound

This paper cites Mak- ing the v in vqa matter: Elevating the role of image understanding in visual question answering,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Mak- ing the v in vqa matter: Elevating the role of image understanding in visual question answering,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:09.377222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation deedccad-2ded-4c13-923d-cd673b86fa43 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:09.195532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd2ad765-ab8f-4eff-b0f6-665c9568139a · outbound

This paper cites Learn to explain: Multimodal reason- ing via thought chains for science question answering,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Learn to explain: Multimodal reason- ing via thought chains for science question answering,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:09.010805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9bf9334f-1286-4545-a199-503234cb3958 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:06.617616Z

Source-reported events for the cited work

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Observation 14762086-5114-4f41-9954-db7149368625 · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Chartqa: A benchmark for question answering about charts with visual and logical reasoning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:08.778988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 23a42079-183c-4b9c-a5d8-8f2242ec2fb1 · outbound

This paper cites Infographicvqa,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Infographicvqa,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:08.531677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 161e45a7-1765-404f-9f90-a0ef4b4562a9 · outbound

This paper cites Ai2d-rst: a multimodal corpus of 1000 primary school science diagrams,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Ai2d-rst: a multimodal corpus of 1000 primary school science diagrams,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:08.344897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9334916-609d-4e21-ba36-a563b95343f6 · outbound

This paper cites Vizwiz grand challenge: Answering visual questions from blind people,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Vizwiz grand challenge: Answering visual questions from blind people,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:08.084843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fe18faf9-a158-4335-8e37-3793f55e0f4c · outbound

This paper cites Towards vqa models that can read,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Towards vqa models that can read,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:07.882324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cddcb36f-713d-44ad-85da-958195d1e7c0 · outbound

This paper cites Lmms-eval: Accelerating the devel- opment of large multimoal models,.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs Lmms-eval: Accelerating the devel- opment of large multimoal models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:21:07.710885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Reference resolution

Outbound references

Pith citing papers