Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models | Paper Citation Record

Observation eca11ac4-b118-4b84-b791-5d36912e82cd · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Flamingo: a visual language model for few-shot learning

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

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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Observation ace32fdb-527b-4fd2-946b-bb00af8afd99 · outbound

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

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

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This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

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This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone

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This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

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This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

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This paper cites LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

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This paper cites Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

Reference 9

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This paper cites PaLM-E: An Embodied Multimodal Language Model.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models PaLM-E: An Embodied Multimodal Language Model

Reference 10

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This paper cites Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 11

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Observation d0eebc09-dac3-4705-9906-85b88d1675ab · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 12

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This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 13

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models GPT-4o System Card

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This paper cites Self-Rewarding Language Models.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Self-Rewarding Language Models

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This paper cites Direct preference optimization: Your language model is secretly a reward model.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Direct preference optimization: Your language model is secretly a reward model

Reference 16

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Observation 32855b2e-1994-4440-8ade-2291b1ab1ee9 · outbound

This paper cites Statistical Rejection Sampling Improves Preference Optimization.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Statistical Rejection Sampling Improves Preference Optimization

Reference 17

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This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 18

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This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback

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This paper cites Silkie: Preference Distillation for Large Visual Language Models.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Silkie: Preference Distillation for Large Visual Language Models

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This paper cites Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback

Reference 21

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Rank analysis of incomplete block designs: I

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Model Extrapolation Expedites Alignment

Reference 23

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This paper cites Activitynet: A large-scale video benchmark for human activity understanding.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Activitynet: A large-scale video benchmark for human activity understanding

Reference 24

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Frozen in time: A joint video and image encoder for end-to-end retrieval

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Llama-vid: An image is worth 2 tokens in large language models

Reference 26

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Llava-next: A strong zero-shot video understanding model, April 2024

Reference 27

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Learning transferable visual models from natural language supervision

Reference 29

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Understanding Reference Policies in Direct Preference Optimization

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Averaging Weights Leads to Wider Optima and Better Generalization

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Mitigating the alignment tax of rlhf

Reference 33

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Spurious Feature Diversification Improves Out-of-distribution Generalization

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Msr-vtt: A large video description dataset for bridging video and language

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Collecting highly parallel data for paraphrase evaluation

Reference 37

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Tgif: A new dataset and benchmark on animated gif description

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models something something

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Eva: Exploring the limits of masked visual representation learning at scale

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Vision transformer with quadrangle attention

Reference 41

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Judging llm-as-a-judge with mt-bench and chatbot arena

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Decoupled Weight Decay Regularization

Reference 43

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Unresolved cited work

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Unresolved cited work

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Consider the following criteria for evaluation: -**Relevance**:Evaluate how relevant the model's predicted answer is to the question asked

Reference 46

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Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Temporal Consistency:Does the answer appropriately reflect the temporal progression and events of the video?3

Reference 47

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