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Collections including paper arxiv:2211.11315

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 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 Oct 23, 2023 • 27
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 9
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

Experts Weights Averaging: A New General Training Scheme for Vision Transformers

Paper • 2308.06093 • Published Aug 11, 2023 • 2
Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Paper • 2308.07317 • Published Aug 14, 2023 • 24
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers

Paper • 2211.11315 • Published Nov 21, 2022 • 1
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Paper • 2307.13269 • Published Jul 25, 2023 • 33

Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 27
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models

Paper • 2308.16137 • Published Aug 30, 2023 • 40
Scaling Transformer to 1M tokens and beyond with RMT

Paper • 2304.11062 • Published Apr 19, 2023 • 3
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 19

Papers I want to read.

Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time

Paper • 2408.13233 • Published Aug 23, 2024 • 23
Heterogeneous Multi-task Learning with Expert Diversity

Paper • 2106.10595 • Published Jun 20, 2021 • 2
Residual Mixture of Experts

Paper • 2204.09636 • Published Apr 20, 2022 • 1
Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition

Paper • 2307.05956 • Published Jul 12, 2023 • 1

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

Paper • 2310.17157 • Published Oct 26, 2023 • 14
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers

Paper • 2305.15805 • Published May 25, 2023 • 1
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt

Paper • 2305.11186 • Published May 17, 2023 • 1
Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Paper • 2110.07560 • Published Oct 14, 2021 • 2

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 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 Oct 23, 2023 • 27
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 9
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

Papers I want to read.

Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time

Paper • 2408.13233 • Published Aug 23, 2024 • 23
Heterogeneous Multi-task Learning with Expert Diversity

Paper • 2106.10595 • Published Jun 20, 2021 • 2
Residual Mixture of Experts

Paper • 2204.09636 • Published Apr 20, 2022 • 1
Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition

Paper • 2307.05956 • Published Jul 12, 2023 • 1

Experts Weights Averaging: A New General Training Scheme for Vision Transformers

Paper • 2308.06093 • Published Aug 11, 2023 • 2
Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Paper • 2308.07317 • Published Aug 14, 2023 • 24
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers

Paper • 2211.11315 • Published Nov 21, 2022 • 1
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Paper • 2307.13269 • Published Jul 25, 2023 • 33

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

Paper • 2310.17157 • Published Oct 26, 2023 • 14
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers

Paper • 2305.15805 • Published May 25, 2023 • 1
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt

Paper • 2305.11186 • Published May 17, 2023 • 1
Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Paper • 2110.07560 • Published Oct 14, 2021 • 2

Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 27
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models

Paper • 2308.16137 • Published Aug 30, 2023 • 40
Scaling Transformer to 1M tokens and beyond with RMT

Paper • 2304.11062 • Published Apr 19, 2023 • 3
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 19

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