Harnessing Optimization Dynamics for Curvature-Informed Model Merging | Paper Citation Record

Observation de5bd793-5a77-427f-862a-fe946d6a46c0 · outbound

This paper cites an unresolved cited work.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Unresolved cited work

Reference 1

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This paper cites Linear mode connectivity and the lottery ticket hypothesis.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Linear mode connectivity and the lottery ticket hypothesis

Reference 2

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Observation 4a63dccf-eb4d-4f49-9c10-2ce6c62a73a4 · outbound

This paper cites What matters for model merging at scale?, 2024.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging What matters for model merging at scale?, 2024

Reference 3

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Observation 05c898e9-ca57-49d6-8c9b-7d09d9c6b762 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Adam: A Method for Stochastic Optimization

Reference 4

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This paper cites Ties-merging: Resolving interference when merging models.Advances in Neural Information Processing Systems, 36:7093–7115, 2023.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Ties-merging: Resolving interference when merging models.Advances in Neural Information Processing Systems, 36:7093–7115, 2023

Reference 5

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Observation 127a9006-e3a9-49d4-a2c3-d76377fce4a4 · outbound

This paper cites Task-specific skill localization in fine-tuned language models.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Task-specific skill localization in fine-tuned language models

Reference 6

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Observation b42e4a7f-0b59-4ffd-aa53-7d4f434d427a · outbound

This paper cites Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Reference 7

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This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 8

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Observation af4e93a9-1fce-4082-bc50-dff9de1a33b4 · outbound

This paper cites Merging models with fisher-weighted averaging.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Merging models with fisher-weighted averaging

Reference 9

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Observation 0b6b7392-7eb2-49cf-b077-d84579780fe3 · outbound

This paper cites Editing Models with Task Arithmetic.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Editing Models with Task Arithmetic

Reference 10

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This paper cites Task arithmetic in the tan- gent space: Improved editing of pre-trained models.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Task arithmetic in the tan- gent space: Improved editing of pre-trained models

Reference 11

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Observation 8b426af1-a9f9-4567-988d-3827d08d4b13 · outbound

This paper cites Ainsworth, Jonathan Hayase, and Siddhartha Srinivasa.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Ainsworth, Jonathan Hayase, and Siddhartha Srinivasa

Reference 12

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Observation 2c40a485-6a1d-44d6-a91b-ec3332944e9a · outbound

This paper cites Merging by matching models in task parameter subspaces.Trans- actions on Machine Learning Research, 2024.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Merging by matching models in task parameter subspaces.Trans- actions on Machine Learning Research, 2024

Reference 13

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Observation ba5a563e-c303-45f2-921d-977d66454ee4 · outbound

This paper cites EMR- merging: Tuning-free high-performance model merging.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging EMR- merging: Tuning-free high-performance model merging

Reference 14

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Observation a08d1acf-a441-486d-9cb2-882f9faddb7f · outbound

This paper cites Arcee’s mergekit: A toolkit for merging large language models.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Arcee’s mergekit: A toolkit for merging large language models

Reference 15

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Harnessing Optimization Dynamics for Curvature-Informed Model Merging Unresolved cited work

Reference 16

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Observation 14ce6f6d-7bcb-4afd-abaf-8cc8e45fd5b7 · outbound

This paper cites Adapterfusion: Non-destructive task composition for transfer learning.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Adapterfusion: Non-destructive task composition for transfer learning

Reference 17

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Observation 602d6d78-f800-45c4-99a7-1f95d397dc78 · outbound

This paper cites LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks

Reference 18

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This paper cites Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model

Reference 19

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Observation 0e8ec6f2-a39c-4102-a511-8ba616b225b8 · outbound

This paper cites Denker, and Sara A.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Denker, and Sara A

Reference 20

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This paper cites Woodfisher: Efficient second-order approximation for neural network compres- sion.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Woodfisher: Efficient second-order approximation for neural network compres- sion

Reference 21

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

Harnessing Optimization Dynamics for Curvature-Informed Model Merging SparseGPT: Massive language models can be accurately pruned in one-shot

Reference 22

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Observation b3120045-2a74-4661-9c9c-1e3b20a865dd · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging A Simple and Effective Pruning Approach for Large Language Models

Reference 23

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Harnessing Optimization Dynamics for Curvature-Informed Model Merging Unresolved cited work

Reference 24

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This paper cites Loss surfaces, mode connectivity, and fast ensembling of dnns.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Loss surfaces, mode connectivity, and fast ensembling of dnns

Reference 25

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This paper cites Fishers for free? approximating the fisher information matrix by recycling the squared gradient accumulator.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Fishers for free? approximating the fisher information matrix by recycling the squared gradient accumulator

Reference 26

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This paper cites Natural gradient works efficiently in learning.Neural computation, 10(2):251–276, 1998.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Natural gradient works efficiently in learning.Neural computation, 10(2):251–276, 1998

Reference 27

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This paper cites New insights and perspectives on the natural gradient method.Journal of Machine Learning Research, 21(146):1–76, 2020.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging New insights and perspectives on the natural gradient method.Journal of Machine Learning Research, 21(146):1–76, 2020

Reference 28

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Observation d74e0494-336d-45c4-ba2a-9fd8e0e51c9e · outbound

This paper cites Optimizing neural networks with kronecker-factored approximate curvature.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Optimizing neural networks with kronecker-factored approximate curvature

Reference 29

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This paper cites Merging models with fisher-weighted averaging.Advances in Neural Information Processing Systems, 35:17703–17716, 2022.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Merging models with fisher-weighted averaging.Advances in Neural Information Processing Systems, 35:17703–17716, 2022

Reference 30

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Observation d399499e-34dc-4109-9d73-28622bd6b344 · outbound

This paper cites Merging by Matching Models in Task Parameter Subspaces.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Merging by Matching Models in Task Parameter Subspaces

Reference 31

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Observation 3be3c55c-dba0-44b0-a05a-bd5cca02a277 · outbound

This paper cites Optimizing neural networks with kronecker-factored approximate curvature.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Optimizing neural networks with kronecker-factored approximate curvature

Reference 32

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Harnessing Optimization Dynamics for Curvature-Informed Model Merging Optimal brain damage

Reference 33

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Observation dd8303b6-4f8c-4d67-82a3-6d22f11d3a68 · outbound

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Harnessing Optimization Dynamics for Curvature-Informed Model Merging Second order derivatives for network pruning: Optimal brain surgeon

Reference 34

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This paper cites Adaptive subgradient methods for online learning and stochastic optimization.Journal of machine learning research, 12(7), 2011.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Adaptive subgradient methods for online learning and stochastic optimization.Journal of machine learning research, 12(7), 2011

Reference 35

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Harnessing Optimization Dynamics for Curvature-Informed Model Merging A New Perspective on Shampoo's Preconditioner

Reference 36

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Harnessing Optimization Dynamics for Curvature-Informed Model Merging Limitations of the NTK for Understanding Generalization in Deep Learning

Reference 37

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Harnessing Optimization Dynamics for Curvature-Informed Model Merging Unresolved cited work

Reference 38

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This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 39

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Observation d45041c6-077c-4177-8399-7ce8e926149b · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 40

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Observation c52f6edc-2701-4416-a65c-a37aff86acae · outbound

This paper cites Arcee’s mergekit: A toolkit for merging large language models.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Arcee’s mergekit: A toolkit for merging large language models

Reference 41

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Observation 1a186a9e-e78b-4d26-8a28-c42a4091cc18 · outbound

This paper cites Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 42

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Observation 38ab25a6-0b0d-4b64-9c1e-8b7f9e8d2472 · outbound

This paper cites Model breadcrumbs: Scaling multi-task model merging with sparse masks.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Model breadcrumbs: Scaling multi-task model merging with sparse masks

Reference 43

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This paper cites Pong, Simon Sidor, William Saunders, Miles Brundage, Ilya Sutskever, Wojciech Zaremba, John Schulman, and Dario Amodei.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Pong, Simon Sidor, William Saunders, Miles Brundage, Ilya Sutskever, Wojciech Zaremba, John Schulman, and Dario Amodei

Reference 44

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Observation a0a9bfa4-e474-42da-bc7a-2dd6da847bc2 · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation, 2024.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation, 2024

Reference 45

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Observation 0fc73c06-51fb-481b-811b-aad5e154558c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Training Verifiers to Solve Math Word Problems

Reference 46

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This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Measuring Mathematical Problem Solving With the MATH Dataset

Reference 47

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This paper cites Ifeval: A new benchmark for evaluating llms on instruction following, 2023.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Ifeval: A new benchmark for evaluating llms on instruction following, 2023

Reference 48

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Observation 73db9bbf-33fe-4afb-a1be-5ab893282f73 · outbound

This paper cites Challenging big-bench tasks and whether chain-of-thought can solve them, 2022.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Challenging big-bench tasks and whether chain-of-thought can solve them, 2022

Reference 49

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Observation c7b0280d-8ad3-4ef9-b707-ee414c43d22f · outbound

This paper cites Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs

Reference 50

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Observation 02b6bc61-7dc1-4c8c-8be4-f3abbe146372 · outbound

This paper cites When not to trust language models: Investigating effectiveness of parametric and non-parametric memories, 2023.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging When not to trust language models: Investigating effectiveness of parametric and non-parametric memories, 2023

Reference 51

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Observation 3a653a89-02bd-4b01-a811-190753a3aff7 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 52

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Observation 07fe91b1-d007-47f5-8691-5f1cf0e73c51 · outbound

This paper cites Transformers as Support Vector Machines.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Transformers as Support Vector Machines

Reference 53

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Observation f72d1f88-df7d-43a9-b1f9-5d1adf4c0a56 · outbound

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Harnessing Optimization Dynamics for Curvature-Informed Model Merging role": "system

Reference 54

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