Error-driven Data-efficient Large Multimodal Model Tuning | Paper Citation Record

Observation 59bd9bd6-65cd-4446-9081-f6f2ae5b8239 · outbound

This paper cites GPT-4 Technical Report.

Error-driven Data-efficient Large Multimodal Model Tuning GPT-4 Technical Report

Reference 1

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Observation 502c660b-9abc-472c-9b00-c8827d543e98 · outbound

This paper cites RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.

Error-driven Data-efficient Large Multimodal Model Tuning RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Reference 2

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Observation 96ead836-13cc-4f9e-b32a-2527001a4bcd · outbound

This paper cites Learning From Mistakes Makes LLM Better Reasoner.

Error-driven Data-efficient Large Multimodal Model Tuning Learning From Mistakes Makes LLM Better Reasoner

Reference 3

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This paper cites A data-centric approach to class-specific bias in image data augmentation.

Error-driven Data-efficient Large Multimodal Model Tuning A data-centric approach to class-specific bias in image data augmentation

Reference 4

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Observation a537fea8-3bcd-4c35-bb28-bc6793c00b75 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Error-driven Data-efficient Large Multimodal Model Tuning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 6

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 7

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Observation f87f42a2-bbc4-4aa5-832a-e658dacf63b7 · outbound

This paper cites Language Models are Few-Shot Learners.

Error-driven Data-efficient Large Multimodal Model Tuning Language Models are Few-Shot Learners

Reference 8

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 9

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Observation 61ab7e39-3c4a-4dca-927c-98c837056d55 · outbound

This paper cites Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.

Error-driven Data-efficient Large Multimodal Model Tuning Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation

Reference 10

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Observation b66a871e-6c68-424e-b3e8-f8c95c44b5c5 · outbound

This paper cites AlpaGasus: Training A Better Alpaca with Fewer Data.

Error-driven Data-efficient Large Multimodal Model Tuning AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 11

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Observation 7ef5cc08-1c9c-4864-ae67-de92eaa2b551 · outbound

This paper cites Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

Reference 12

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Observation 498992c3-92bf-4017-a872-b752d3c0ae29 · outbound

This paper cites AugGPT: Leveraging ChatGPT for Text Data Augmentation.

Error-driven Data-efficient Large Multimodal Model Tuning AugGPT: Leveraging ChatGPT for Text Data Augmentation

Reference 13

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Observation 47077c04-7d8b-41be-b03f-26ad4c5d2011 · outbound

This paper cites Towards Multimodal In-Context Learning for Vision & Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Towards Multimodal In-Context Learning for Vision & Language Models

Reference 14

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 15

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This paper cites A tale of tails: Model collapse as a change of scaling laws.

Error-driven Data-efficient Large Multimodal Model Tuning A tale of tails: Model collapse as a change of scaling laws

Reference 16

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 18

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Observation 7b7b0fb6-453b-4150-86e5-47d18e3c116d · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

Error-driven Data-efficient Large Multimodal Model Tuning Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 19

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 20

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Observation 00c74465-8c88-4db0-9a06-cd0e9bb178db · outbound

This paper cites Understanding In-Context Learning via Supportive Pretraining Data.

Error-driven Data-efficient Large Multimodal Model Tuning Understanding In-Context Learning via Supportive Pretraining Data

Reference 21

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 22

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 23

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Observation 5ab54576-f894-4307-a2c7-413cd260af69 · outbound

This paper cites Many-Shot In-Context Learning in Multimodal Foundation Models.

Error-driven Data-efficient Large Multimodal Model Tuning Many-Shot In-Context Learning in Multimodal Foundation Models

Reference 24

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Observation 57d0fb07-0774-4556-98a0-8a598d34227c · outbound

This paper cites GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training.

Error-driven Data-efficient Large Multimodal Model Tuning GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training

Reference 25

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Observation c7ce0d31-5872-4009-8c5f-b14de9bdd018 · outbound

This paper cites ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks.

Error-driven Data-efficient Large Multimodal Model Tuning ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks

Reference 26

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Observation d50475c8-da21-4411-a91b-59fc7130e643 · outbound

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 27

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Observation ad1bb8dd-a419-49d5-a052-79b6907e913d · outbound

This paper cites Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.

Error-driven Data-efficient Large Multimodal Model Tuning Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 28

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Observation 674b7145-a253-4d67-ad88-29d0f103c647 · outbound

This paper cites Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks.

Error-driven Data-efficient Large Multimodal Model Tuning Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks

Reference 29

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Observation 54d4abf3-4a7f-4b46-a4b2-07ccf9c00379 · outbound

This paper cites LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.

Error-driven Data-efficient Large Multimodal Model Tuning LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 30

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 31

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Observation 9e03463c-dc7a-4dfc-9543-94655fca8ffc · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Error-driven Data-efficient Large Multimodal Model Tuning LLaVA-OneVision: Easy Visual Task Transfer

Reference 32

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Observation ea85da49-a6c1-461a-96fb-766bb839cd40 · outbound

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 33

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This paper cites Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 34

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This paper cites The Role of Data Curation in Image Captioning.

Error-driven Data-efficient Large Multimodal Model Tuning The Role of Data Curation in Image Captioning

Reference 35

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 36

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Reference 37

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 38

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 39

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Observation 2ce0241e-971f-40ff-93c8-87339c26f392 · outbound

This paper cites SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection.

Error-driven Data-efficient Large Multimodal Model Tuning SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection

Reference 40

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This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

Error-driven Data-efficient Large Multimodal Model Tuning MMBench: Is Your Multi-modal Model an All-around Player?

Reference 41

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Error-driven Data-efficient Large Multimodal Model Tuning Less is More: High-value Data Selection for Visual Instruction Tuning

Reference 42

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 43

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 44

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 45

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Error-driven Data-efficient Large Multimodal Model Tuning Teacher-Student Curriculum Learning

Reference 46

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 47

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This paper cites Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation.

Error-driven Data-efficient Large Multimodal Model Tuning Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 48

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 49

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Error-driven Data-efficient Large Multimodal Model Tuning Coresets and Sketches

Reference 50

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Error-driven Data-efficient Large Multimodal Model Tuning The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models

Reference 51

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 52

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 53

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Error-driven Data-efficient Large Multimodal Model Tuning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 54

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 55

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 56

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Error-driven Data-efficient Large Multimodal Model Tuning Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 57

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Error-driven Data-efficient Large Multimodal Model Tuning Multimodal Instruction Tuning with Conditional Mixture of LoRA

Reference 58

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This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

Error-driven Data-efficient Large Multimodal Model Tuning The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 59

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Error-driven Data-efficient Large Multimodal Model Tuning less is more

Reference 60

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This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Error-driven Data-efficient Large Multimodal Model Tuning An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 61

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Observation 2a25a334-7bcd-4438-a130-1635d1cd73f4 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:18:38.083369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b5020b83-286b-467c-982c-236f76503507 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:18:37.933640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a0d322c3-7ddf-488a-92d3-30cc829093b1 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Error-driven Data-efficient Large Multimodal Model Tuning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.125284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd4af343-80ad-429e-9290-ec39c01783b8 · outbound

This paper cites Targeted Augmentation for Low-Resource Event Extraction.

Error-driven Data-efficient Large Multimodal Model Tuning Targeted Augmentation for Low-Resource Event Extraction

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:18:36.875301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12a41e6b-f95f-4888-aab3-327106820520 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.270768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce47fc5a-8e0d-4388-a1f8-7ece4d3a7a3a · outbound

This paper cites Emergent Abilities of Large Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Emergent Abilities of Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.357071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d907da62-6237-4122-bedf-aa6fbfd84cc7 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.574328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6534863e-8749-4266-9e39-a0c25fb2a161 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.605471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c249a302-567d-49ea-a5f7-c1bb3654e406 · outbound

This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

Error-driven Data-efficient Large Multimodal Model Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.618509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b5803ed-e612-4788-adc5-db6412a8fda5 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:18:37.859840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00868247-cc74-4295-8907-727268ca5f79 · outbound

This paper cites LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback.

Error-driven Data-efficient Large Multimodal Model Tuning LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.661984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91456423-fd33-4212-b3bb-c03357759183 · outbound

This paper cites Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning.

Error-driven Data-efficient Large Multimodal Model Tuning Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.752639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a576643-f4d7-4392-9e30-84e5d858675d · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:18:37.844906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b12bfbe8-7a8c-43a0-a180-5215ad5abdc9 · outbound

This paper cites MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning.

Error-driven Data-efficient Large Multimodal Model Tuning MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.819567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79b86308-ce03-4b75-b3ec-1a751303a4e9 · outbound

This paper cites LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning.

Error-driven Data-efficient Large Multimodal Model Tuning LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.824564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53543478-6a96-4a27-bf01-ae481adfb4ab · outbound

This paper cites Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation.

Error-driven Data-efficient Large Multimodal Model Tuning Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.830611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 868fcbe3-7a17-4c72-bf83-bd406355b332 · outbound

This paper cites AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes.

Error-driven Data-efficient Large Multimodal Model Tuning AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.835904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5f6611-d028-4253-976f-2c6e394e6f0b · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:35.911096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfdf7c73-b0c0-4137-9256-02c6d12a1a47 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

Error-driven Data-efficient Large Multimodal Model Tuning MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.009995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c5ccf7-664d-4e9d-b1c0-7496d4af746b · outbound

This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

Error-driven Data-efficient Large Multimodal Model Tuning MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.136897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d057f1d-9e55-4c6c-a8ee-f70cb651424e · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:18:37.820821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 24c92789-2acb-4a7f-a46b-009bd64377b1 · outbound

This paper cites SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning.

Error-driven Data-efficient Large Multimodal Model Tuning SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.149022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b96954-b851-409c-8d63-955f851ffe3e · outbound

This paper cites MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.

Error-driven Data-efficient Large Multimodal Model Tuning MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.156440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701e0841-de9c-4727-9d8f-89b27a75bf17 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.184245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01cd7e82-280f-4a01-a65a-27d8ffd404a3 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.277215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e73df0-8696-4416-bcbd-103a50a328c9 · outbound

This paper cites online" 'onlinestring :=.

Error-driven Data-efficient Large Multimodal Model Tuning online" 'onlinestring :=

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.307821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2785296a-3c9c-4646-986c-4d1da57a320d · outbound

This paper cites write newline.

Error-driven Data-efficient Large Multimodal Model Tuning write newline

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:36.313017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers