Collection by 
21 days ago
Collections
Discover the best community collections!
Collections including paper arxiv:2309.09958
Collection by 
Feb 21, 2024
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Visual Instruction Tuning
Paper • 2304.08485 • Published • 21 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 39 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 32
Collection by 
Jul 22, 2024
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 5 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 12 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
Collection by 
Sep 25, 2023
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Language Modeling Is Compression
Paper • 2309.10668 • Published • 84 -
Baichuan 2: Open Large-scale Language Models
Paper • 2309.10305 • Published • 22 -
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 40 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 67
Collection by 
Sep 20, 2023
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Language Modeling Is Compression
Paper • 2309.10668 • Published • 84 -
SlimPajama-DC: Understanding Data Combinations for LLM Training
Paper • 2309.10818 • Published • 11 -
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)
Paper • 2309.08968 • Published • 24 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40
Collection by 
Nov 20, 2025
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Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Paper • 2309.15915 • Published • 2 -
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Paper • 2310.00653 • Published • 3 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 11 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 20
Collection by May 29, 2025
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 27 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 46 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
LoRA ensembles for large language model fine-tuning
Paper • 2310.00035 • Published • 2
Collection by 9 days ago
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Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 17 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 27 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 9 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20
Collection by 
Sep 20, 2023
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An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 20 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 7 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40
Collection by 
May 24, 2025
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Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 20 -
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 -
Streaming Dense Video Captioning
Paper • 2404.01297 • Published • 13
Collection by 21 days ago
Collection by Nov 20, 2025
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Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Paper • 2309.15915 • Published • 2 -
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Paper • 2310.00653 • Published • 3 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 11 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 20
Collection by Feb 21, 2024
-
Visual Instruction Tuning
Paper • 2304.08485 • Published • 21 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 39 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 32
Collection by May 29, 2025
-
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 27 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 46 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
LoRA ensembles for large language model fine-tuning
Paper • 2310.00035 • Published • 2
Collection by Jul 22, 2024
-
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 5 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 12 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
Collection by 9 days ago
-
Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 17 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 27 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 9 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20
Collection by Sep 25, 2023
-
Language Modeling Is Compression
Paper • 2309.10668 • Published • 84 -
Baichuan 2: Open Large-scale Language Models
Paper • 2309.10305 • Published • 22 -
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 40 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 67
Collection by Sep 20, 2023
-
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 20 -
TextBind: Multi-turn Interleaved Multimodal Instruction-following
Paper • 2309.08637 • Published • 7 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40
Collection by Sep 20, 2023
-
Language Modeling Is Compression
Paper • 2309.10668 • Published • 84 -
SlimPajama-DC: Understanding Data Combinations for LLM Training
Paper • 2309.10818 • Published • 11 -
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)
Paper • 2309.08968 • Published • 24 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40
Collection by May 24, 2025
-
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 20 -
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 -
Streaming Dense Video Captioning
Paper • 2404.01297 • Published • 13