MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts | Paper Citation Record

Observation 94f74a5d-9bde-4632-b108-49addd4712dc · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 96

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T11:32:37.024775Z

Source-reported events for the cited work

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

Observation bd5e370e-9561-43a7-b36f-48c78f40f43a · inbound

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs cites this paper.

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:35:47.185047Z

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Observation ed1261fb-dc9e-49ef-be32-d2426ac45b4f · inbound

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model cites this paper.

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T21:56:03.346548Z

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Observation 50e26a20-33dc-4bd7-b0ca-8159b97d1588 · inbound

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment cites this paper.

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:30.160491Z

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Observation ca1cd729-0728-422a-990c-ceb1897826c2 · inbound

Rethinking Strategic Mechanism Design In The Age Of Large Language Models: New Directions For Communication Systems cites this paper.

Rethinking Strategic Mechanism Design In The Age Of Large Language Models: New Directions For Communication Systems MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 14

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Observation 37aaed35-91a9-42b7-9b0d-4c244873800d · inbound

DataLab: A Unified Platform for LLM-Powered Business Intelligence cites this paper.

DataLab: A Unified Platform for LLM-Powered Business Intelligence MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:05.228052Z

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Observation 13abc555-1900-416d-a47c-eba23d6a20f5 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 150

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:18.986255Z

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Observation 805bae4d-c3cf-42ed-8935-68ae61995a40 · inbound

Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts cites this paper.

Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T21:43:24.258535Z

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Observation 01f52b18-463c-412c-b737-6d5133780f72 · inbound

MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning cites this paper.

MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T17:26:28.375618Z

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Observation 09846afc-91a4-42e1-8dba-7cc5acb7fcfd · inbound

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks cites this paper.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.751714Z

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Observation 6b1a7799-afde-4955-869b-925f432adad0 · inbound

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment cites this paper.

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 24

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Observation 26d5cf78-b40d-4ffe-a6ad-fd05f9de7724 · inbound

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning cites this paper.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T19:29:51.356717Z

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Observation 635a3a2f-1326-488c-9d4b-e7c2e417cb76 · inbound

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning cites this paper.

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T14:42:10.730255Z

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Observation e0cd3d2e-e0da-44e2-80b3-c4226be6dc78 · inbound

Ensembles of Low-Rank Expert Adapters cites this paper.

Ensembles of Low-Rank Expert Adapters MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.567106Z

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Observation 60b961ce-421a-431a-a055-16cb0c97bddd · inbound

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation cites this paper.

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T10:14:21.493652Z

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Observation 9cb577ec-e8ce-4346-a649-a7084e949904 · inbound

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning cites this paper.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.262430Z

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Observation e91b2cca-f942-4f5c-8c3f-137ea382a018 · inbound

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model cites this paper.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.579181Z

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Observation 2a507760-81cd-4583-ad9e-aabc97859210 · inbound

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation cites this paper.

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T10:29:42.065762Z

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Observation 73be0b73-723e-4fd9-b6aa-d969b0420864 · inbound

MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning cites this paper.

MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:18:49.328511Z

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Observation ad230623-36e4-4d9e-ad20-28f317653929 · inbound

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation cites this paper.

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T10:52:15.070645Z

Source-reported events for the cited work

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

Observation d767b74f-79b4-46fa-8aa1-64651b139f51 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:32.262460Z

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Observation 6889b1fe-7b49-4604-9e62-edb7fb0c31bc · inbound

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation cites this paper.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:25.081248Z

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Observation fbe50660-130f-4621-9906-a8d29f16dc8d · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:06:34.604980Z

Source-reported events for the cited work

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

Observation ef4c676b-52db-40d4-8f5e-4b2a4687141e · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T09:07:14.729210Z

Source-reported events for the cited work

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

Observation 242e7f41-82f2-4b15-89eb-8e51e7646203 · inbound

Mixture of LoRA Experts with Multi-Modal and Multi-Granularity LLM Generative Error Correction for Accented Speech Recognition cites this paper.

Mixture of LoRA Experts with Multi-Modal and Multi-Granularity LLM Generative Error Correction for Accented Speech Recognition MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:17.252166Z

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Observation ef7f8d05-53b7-4964-a7b7-a847f03c625e · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T10:34:44.391478Z

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Observation caaeff17-087c-4dc5-b904-364e795ff927 · inbound

CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters cites this paper.

CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 1028

Resolution: unresolved; no resolver link, observed 2026-08-03T11:56:44.287081Z

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Observation 7305318b-2729-49a2-bb43-dd4de49cc930 · inbound

Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning cites this paper.

Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T05:56:57.110924Z

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Observation 8591e6e9-5d9d-44c0-bd4c-1d4b9d71cf84 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-13T14:28:05.261852Z

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Observation 411baeda-6420-4a0d-86c2-9639c95c193a · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 1e091f0b-ca49-42e1-a486-5bae0bd8bfdd · inbound

TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models cites this paper.

TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:05:47.791664Z

Source-reported events for the cited work

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

Observation dbe131e7-d925-4285-b2af-fcdf32a96ccf · inbound

ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning cites this paper.

ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:11:08.865754Z

Source-reported events for the cited work

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

Observation 437bccf1-900c-451f-aac2-712350d07e83 · inbound

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning cites this paper.

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:01:24.504725Z

Source-reported events for the cited work

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

Observation 91bbd6a8-3c6b-47ca-a197-9f7118e74cf2 · inbound

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation cites this paper.

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:40:58.535156Z

Source-reported events for the cited work

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

Observation 1d8ac6a1-9ef9-4d65-ab92-86f4d3e44c19 · inbound

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation cites this paper.

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T23:53:51.945936Z

Source-reported events for the cited work

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

Observation 1af03f3b-2e4a-4388-9c47-9565750d1d56 · inbound

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma cites this paper.

BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:24:00.311385Z

Source-reported events for the cited work

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

Observation 24fd3cbb-1b89-4810-93d8-964be21bf170 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 79

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:26:26.823471Z

Source-reported events for the cited work

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

Observation 80bbf33d-f0e2-4ad8-b14e-5b524ad9c615 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-13T07:44:25.325808Z

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Unavailable: canonical work link unavailable.

Observation a7de90e7-78f0-4aed-811d-ae004fe9e320 · inbound

Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning cites this paper.

Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:57:10.212442Z

Source-reported events for the cited work

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

Observation 8cc6b061-0a4f-4cc4-b283-a75ac81de35e · inbound

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates cites this paper.

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:49:17.643700Z

Source-reported events for the cited work

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

Observation a0b82c4e-2161-4e7d-894d-f15b3eef5772 · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 128

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:37.930511Z

Source-reported events for the cited work

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

Observation e743a2a6-7888-4ebb-be74-ef834cae849b · inbound

TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs cites this paper.

TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:44:21.912185Z

Source-reported events for the cited work

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

Observation 9beb828e-0850-478d-84bc-ebcce4d4af6b · inbound

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning cites this paper.

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:20.909550Z

Source-reported events for the cited work

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

Observation fcb39edd-589c-47f2-b9e9-661f77b6c466 · inbound

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:05:41.007279Z

Source-reported events for the cited work

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

Observation 51f5ec94-3737-45be-a6fe-193aba7a232c · inbound

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T19:57:18.994246Z

Source-reported events for the cited work

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

Observation f49f943d-5350-49c1-8d82-82e70b1cebed · inbound

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:08:58.491055Z

Source-reported events for the cited work

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

Observation ef6d7b73-425e-46f2-a93c-575a984fc4ab · inbound

Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory cites this paper.

Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T21:34:44.701020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3201219-819a-460e-bccd-ad46022beec4 · inbound

Online Data Selection Is Implicit Alignment cites this paper.

Online Data Selection Is Implicit Alignment MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T21:36:34.294126Z

Source-reported events for the cited work

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

Observation 9391177a-2d30-41c5-b382-c0cce3ac21f8 · inbound

EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation cites this paper.

EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-14T13:48:36.708969Z

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SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting cites this paper.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 27

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The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs cites this paper.

The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 26

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