TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning | Paper Citation Record

Observation 7b7a58f2-df97-4898-9e15-3192ffae18e5 · outbound

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

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Training language models to follow instructions with human feedback,

Reference 1

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Observation c35afe93-5ada-42ad-9c2d-52319f234a22 · outbound

This paper cites Parameter-efficient fine-tuning of large- scale pre-trained language models,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Parameter-efficient fine-tuning of large- scale pre-trained language models,

Reference 2

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This paper cites Large language models are built-in autoregressive search engines,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Large language models are built-in autoregressive search engines,

Reference 3

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This paper cites GPT-4 Technical Report.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning GPT-4 Technical Report

Reference 4

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Observation ea655aec-100f-4c0f-a07a-f6960ad2edd9 · outbound

This paper cites The Llama 3 Herd of Models.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning The Llama 3 Herd of Models

Reference 5

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Observation c73d9c5a-fe55-4133-9f73-bb760ae2d5a1 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 6

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This paper cites A General Language Assistant as a Laboratory for Alignment.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning A General Language Assistant as a Laboratory for Alignment

Reference 7

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This paper cites Finetuned Language Models Are Zero-Shot Learners.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Finetuned Language Models Are Zero-Shot Learners

Reference 8

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Observation 5b388bef-60ab-46d1-a609-14c565373a99 · outbound

This paper cites MetaICL: Learning to Learn In Context.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning MetaICL: Learning to Learn In Context

Reference 9

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Observation 5fab5328-69a1-439e-b4fd-cd6d49746bad · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,

Reference 10

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Observation d63698eb-5dff-4010-9abf-05af54da0a40 · outbound

This paper cites Pre-trained models for natural language processing: A survey,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Pre-trained models for natural language processing: A survey,

Reference 11

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Observation c2fa1dde-995f-4dc0-ab27-e82fc03a407c · outbound

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

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 12

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Observation 339779ac-d1b4-456a-88c0-4535c1a75630 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning LoRA: Low-rank adaptation of large language models,

Reference 13

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Observation b9db8350-e95c-425d-a6b8-2b3a5f27e512 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 14

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This paper cites VeRA: Vector- based Random Matrix Adaptation,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning VeRA: Vector- based Random Matrix Adaptation,

Reference 15

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Observation 68137cf4-1783-429a-8dad-f9d2e0fb71ac · outbound

This paper cites AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models,

Reference 16

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Observation 2dd9bb21-e7bb-4e4a-9eed-f7b0459e8fb6 · outbound

This paper cites PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA,

Reference 17

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Observation 17d67d54-79cf-4899-be83-1e0e439bfa47 · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 18

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Observation 117591b1-f783-407d-8824-63f203814af5 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Qlora: Efficient finetuning of quantized llms,

Reference 19

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Observation 61b780f5-22c8-4960-8561-e8344984b532 · outbound

This paper cites LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks,

Reference 20

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This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 21

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Observation fa5cac0b-a8e5-4402-a4a1-f90cec8a9654 · outbound

This paper cites IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning

Reference 22

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This paper cites Increasing model capacity for free: A simple strategy for parameter efficient fine-tuning,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Increasing model capacity for free: A simple strategy for parameter efficient fine-tuning,

Reference 23

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This paper cites an unresolved cited work.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 24

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This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 25

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This paper cites Know what you don’t know: Unanswerable questions for SQuAD,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Know what you don’t know: Unanswerable questions for SQuAD,

Reference 26

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This paper cites Attention is all you need,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Attention is all you need,

Reference 27

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This paper cites DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation,

Reference 28

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This paper cites Reinforcement learning improves behaviour from evaluative feedback,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Reinforcement learning improves behaviour from evaluative feedback,

Reference 29

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This paper cites Control of synaptic plasticity in deep cortical networks,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Control of synaptic plasticity in deep cortical networks,

Reference 30

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This paper cites Reinforcement learning: An introduction,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Reinforcement learning: An introduction,

Reference 31

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This paper cites DeBERTav3: Improving deBERTa using ELECTRA-style pre-training with gradient-disentangled embedding sharing,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning DeBERTav3: Improving deBERTa using ELECTRA-style pre-training with gradient-disentangled embedding sharing,

Reference 32

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This paper cites Learning multiple visual domains with residual adapters,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Learning multiple visual domains with residual adapters,

Reference 33

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This paper cites Parameter-efficient transfer learning for nlp,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Parameter-efficient transfer learning for nlp,

Reference 34

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This paper cites Towards a unified view of parameter-efficient transfer learning,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Towards a unified view of parameter-efficient transfer learning,

Reference 35

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Observation 63d5436d-cf57-49f6-b065-5f897222f6da · outbound

This paper cites Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,

Reference 36

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This paper cites Neural network accept- ability judgments,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Neural network accept- ability judgments,

Reference 37

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This paper cites Comparison of the predicted and observed secondary structure of t4 phage lysozyme,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Comparison of the predicted and observed secondary structure of t4 phage lysozyme,

Reference 38

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This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 39

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This paper cites Automatically constructing a corpus of sen- tential paraphrases,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Automatically constructing a corpus of sen- tential paraphrases,

Reference 40

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This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 41

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Observation 61d6c6d5-def0-4aac-b8f7-645a925b4cfd · outbound

This paper cites The pascal recognising textual entailment challenge,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning The pascal recognising textual entailment challenge,

Reference 42

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Observation f688deb1-a32e-4341-8b58-21296572c6c6 · outbound

This paper cites The second pascal recognising textual entailment challenge,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning The second pascal recognising textual entailment challenge,

Reference 43

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Observation 5ea9a28a-4d8d-4500-a290-0bf0a64ce7bc · outbound

This paper cites The third pascal recognizing textual entailment challenge,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning The third pascal recognizing textual entailment challenge,

Reference 44

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Observation 78c70c9e-4d93-493e-bb68-8232a0ecbec8 · outbound

This paper cites The fifth pascal recognizing textual entailment challenge.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning The fifth pascal recognizing textual entailment challenge

Reference 45

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Observation a58669d3-6b2c-4b76-b263-885f78289e23 · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank,.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Recursive deep models for semantic compositionality over a sentiment treebank,

Reference 46

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This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 47

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This paper cites Available: https://openreview.net/forum?id=H3IUunLy8s.

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Available: https://openreview.net/forum?id=H3IUunLy8s

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:35:23.376487Z

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